A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

a - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Members of c[] are called centers of the Newton polynomial.
a - Static variable in class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaIntegrator
Internal weights Butcher array.
a - Variable in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Internal weights from Butcher array (without the first empty row).
a - Static variable in class org.apache.commons.math.ode.nonstiff.EulerIntegrator
Internal weights Butcher array.
a - Static variable in class org.apache.commons.math.ode.nonstiff.GillIntegrator
Internal weights Butcher array.
a - Static variable in class org.apache.commons.math.ode.nonstiff.MidpointIntegrator
Internal weights Butcher array.
a - Variable in class org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator
Internal weights from Butcher array (without the first empty row).
a - Static variable in class org.apache.commons.math.ode.nonstiff.ThreeEighthesIntegrator
Internal weights Butcher array.
a - Variable in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Guessed amplitude.
a - Variable in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Amplitude a.
a1 - Variable in class org.apache.commons.math.geometry.RotationOrder
Axis of the first rotation.
a2 - Variable in class org.apache.commons.math.geometry.RotationOrder
Axis of the second rotation.
a3 - Variable in class org.apache.commons.math.geometry.RotationOrder
Axis of the third rotation.
a70 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Last row of the Butcher-array internal weights, element 0.
a72 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Last row of the Butcher-array internal weights, element 2.
a73 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Last row of the Butcher-array internal weights, element 3.
a74 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Last row of the Butcher-array internal weights, element 4.
a75 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Last row of the Butcher-array internal weights, element 5.
abs() - Method in class org.apache.commons.math.complex.Complex
Return the absolute value of this complex number.
abs() - Method in class org.apache.commons.math.fraction.BigFraction
Returns the absolute value of this BigFraction.
abs() - Method in class org.apache.commons.math.fraction.Fraction
Returns the absolute value of this fraction.
abscissas - Variable in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Abscissas for the current method.
ABSCISSAS_2 - Static variable in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Abscissas for the 2 points method.
ABSCISSAS_3 - Static variable in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Abscissas for the 3 points method.
ABSCISSAS_4 - Static variable in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Abscissas for the 4 points method.
ABSCISSAS_5 - Static variable in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Abscissas for the 5 points method.
absoluteAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
Maximum absolute error.
absoluteThreshold - Variable in class org.apache.commons.math.optimization.SimpleRealPointChecker
Absolute tolerance threshold.
absoluteThreshold - Variable in class org.apache.commons.math.optimization.SimpleScalarValueChecker
Absolute tolerance threshold.
absoluteThreshold - Variable in class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Absolute tolerance threshold.
absoluteThreshold - Variable in class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Absolute tolerance threshold.
AbstractContinuousDistribution - Class in org.apache.commons.math.distribution
Base class for continuous distributions.
AbstractContinuousDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractContinuousDistribution
Default constructor.
AbstractDistribution - Class in org.apache.commons.math.distribution
Base class for probability distributions.
AbstractDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractDistribution
Default constructor.
AbstractEstimator - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
AbstractEstimator() - Constructor for class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Build an abstract estimator for least squares problems.
AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Basic implementation of FieldMatrix methods regardless of the underlying storage.
AbstractFieldMatrix() - Constructor for class org.apache.commons.math.linear.AbstractFieldMatrix
Constructor for use with Serializable
AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math.linear.AbstractFieldMatrix
Creates a matrix with no data
AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.AbstractFieldMatrix
Create a new FieldMatrix with the supplied row and column dimensions.
AbstractFormat - Class in org.apache.commons.math.fraction
Common part shared by both FractionFormat and BigFractionFormat.
AbstractFormat() - Constructor for class org.apache.commons.math.fraction.AbstractFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.AbstractFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.AbstractFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
AbstractIntegerDistribution - Class in org.apache.commons.math.distribution
Base class for integer-valued discrete distributions.
AbstractIntegerDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractIntegerDistribution
Default constructor.
AbstractIntegrator - Class in org.apache.commons.math.ode
Base class managing common boilerplate for all integrators.
AbstractIntegrator(String) - Constructor for class org.apache.commons.math.ode.AbstractIntegrator
Build an instance.
AbstractIntegrator() - Constructor for class org.apache.commons.math.ode.AbstractIntegrator
Build an instance with a null name.
AbstractIntegrator.EndTimeChecker - Class in org.apache.commons.math.ode
Specialized event handler to stop integration.
AbstractIntegrator.EndTimeChecker(double) - Constructor for class org.apache.commons.math.ode.AbstractIntegrator.EndTimeChecker
Build an instance.
AbstractLeastSquaresOptimizer - Class in org.apache.commons.math.optimization.general
Base class for implementing least squares optimizers.
AbstractLeastSquaresOptimizer() - Constructor for class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Simple constructor with default settings.
AbstractLinearOptimizer - Class in org.apache.commons.math.optimization.linear
Base class for implementing linear optimizers.
AbstractLinearOptimizer() - Constructor for class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Simple constructor with default settings.
AbstractListChromosome<T> - Class in org.apache.commons.math.genetics
Chromosome represented by an immutable list of a fixed length.
AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math.genetics.AbstractListChromosome
Constructor.
AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math.genetics.AbstractListChromosome
Constructor.
AbstractMultipleLinearRegression - Class in org.apache.commons.math.stat.regression
Abstract base class for implementations of MultipleLinearRegression.
AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
 
AbstractRandomGenerator - Class in org.apache.commons.math.random
Abstract class implementing the RandomGenerator interface.
AbstractRandomGenerator() - Constructor for class org.apache.commons.math.random.AbstractRandomGenerator
Construct a RandomGenerator.
AbstractRealMatrix - Class in org.apache.commons.math.linear
Basic implementation of RealMatrix methods regardless of the underlying storage.
AbstractRealMatrix() - Constructor for class org.apache.commons.math.linear.AbstractRealMatrix
Creates a matrix with no data
AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.AbstractRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
AbstractScalarDifferentiableOptimizer - Class in org.apache.commons.math.optimization.general
Base class for implementing optimizers for multivariate scalar functions.
AbstractScalarDifferentiableOptimizer() - Constructor for class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Simple constructor with default settings.
AbstractStepInterpolator - Class in org.apache.commons.math.ode.sampling
This abstract class represents an interpolator over the last step during an ODE integration.
AbstractStepInterpolator() - Constructor for class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Simple constructor.
AbstractStepInterpolator(double[], boolean) - Constructor for class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Simple constructor.
AbstractStepInterpolator(AbstractStepInterpolator) - Constructor for class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Copy constructor.
AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math.stat.descriptive
Abstract implementation of the StorelessUnivariateStatistic interface.
AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
 
AbstractUnivariateRealOptimizer - Class in org.apache.commons.math.optimization.univariate
Provide a default implementation for several functions useful to generic optimizers.
AbstractUnivariateRealOptimizer(int, double) - Constructor for class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Construct a solver with given iteration count and accuracy.
AbstractUnivariateStatistic - Class in org.apache.commons.math.stat.descriptive
Abstract base class for all implementations of the UnivariateStatistic interface.
AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
 
acos() - Method in class org.apache.commons.math.complex.Complex
Compute the inverse cosine of this complex number.
AdamsBashforthIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsBashforthIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsBashforthIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsIntegrator - Class in org.apache.commons.math.ode.nonstiff
Base class for Adams-Bashforth and Adams-Moulton integrators.
AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Build an Adams integrator with the given order and step control prameters.
AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Build an Adams integrator with the given order and step control parameters.
AdamsMoultonIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsMoultonIntegrator.Corrector - Class in org.apache.commons.math.ode.nonstiff
Corrector for current state in Adams-Moulton method.
AdamsMoultonIntegrator.Corrector(double[], double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator.Corrector
Simple constructor.
AdamsNordsieckTransformer - Class in org.apache.commons.math.ode.nonstiff
Transformer to Nordsieck vectors for Adams integrators.
AdamsNordsieckTransformer(int) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Simple constructor.
AdaptiveStepsizeIntegrator - Class in org.apache.commons.math.ode.nonstiff
This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
add(PolynomialFunction) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Add a polynomial to the instance.
add(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the sum of this complex number and the given complex number.
add(T) - Method in interface org.apache.commons.math.FieldElement
Compute this + a.
add(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to the passed BigInteger, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to the passed integer, returning the result in reduced form.
add(long) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to the passed long, returning the result in reduced form.
add(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to another, returning the result in reduced form.
add(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Adds the value of this fraction to another, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math.fraction.Fraction
Add an integer to the fraction.
add(Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D
Add a vector to the instance.
add(double, Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D
Add a scaled vector to the instance.
add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Compute the sum of this and m.
add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Compute the sum of this and m.
add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Compute the sum of this and m.
add(Array2DRowRealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the sum of this and v.
add(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the sum of this and v.
add(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the sum of this and v.
add(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the sum of this and v.
add(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the sum of this and v.
add(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the sum of this and v.
add(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Compute the sum of this and m.
add(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Compute the sum of this and m.
add(BigMatrixImpl) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Compute the sum of this and m.
add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Compute the sum of this and m.
add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Compute the sum of this and m.
add(BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Compute the sum of this and m.
add(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the sum of this and v.
add(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the sum of this and v.
add(RealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute the sum of this and m.
add(OpenMapRealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute the sum of this and m.
add(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the sum of this and v.
add(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to add two OpenMapRealVectors.
add(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the sum of this and v.
add(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Compute the sum of this and m.
add(RealMatrixImpl) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Compute the sum of this and m.
add(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Compute the sum of this and v.
add(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Compute the sum of this and v.
add(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Optimized method to add sparse vectors.
add(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the sum of this and v.
add(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the sum of this and v.
add(BigReal) - Method in class org.apache.commons.math.util.BigReal
Compute this + a.
addAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Add two integers, checking for overflow.
addAndCheck(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Add two long integers, checking for overflow.
addAndCheck(long, long, String) - Static method in class org.apache.commons.math.util.MathUtils
Add two long integers, checking for overflow.
addChromosome(Chromosome) - Method in class org.apache.commons.math.genetics.ListPopulation
Add the given chromosome to the population.
addChromosome(Chromosome) - Method in interface org.apache.commons.math.genetics.Population
Add the given chromosome to the population.
addData(double, double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Adds the observation (x,y) to the regression data set.
addData(double[][]) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Adds the observations represented by the elements in data.
addElement(double) - Method in interface org.apache.commons.math.util.DoubleArray
Adds an element to the end of this expandable array
addElement(double) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Adds an element to the end of this expandable array.
addElementRolling(double) - Method in interface org.apache.commons.math.util.DoubleArray
Adds an element to the end of the array and removes the first element in the array.
addElementRolling(double) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Adds an element to the end of the array and removes the first element in the array.
addEndTimeChecker(double, double, CombinedEventsManager) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Add an event handler for end time checking.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Add an events handler.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math.ode.ODEIntegrator
Add an event handler to the integrator.
ADDITIVE_MODE - Static variable in class org.apache.commons.math.util.ResizableDoubleArray
additive expansion mode
addMeasurement(WeightedMeasurement) - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Add a new measurement to the set.
addObservedPoint(double, double) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Add an observed (x,y) point to the sample with unit weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Add an observed weighted (x,y) point to the sample.
addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Add an observed weighted (x,y) point to the sample.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.HarmonicFitter
Add an observed weighted (x,y) point to the sample.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter
Add an observed weighted (x,y) point to the sample.
addParameter(EstimatedParameter) - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Add a parameter to the problem.
addPoint(T) - Method in class org.apache.commons.math.stat.clustering.Cluster
Add a point to this cluster.
addStepHandler(StepHandler) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in interface org.apache.commons.math.ode.ODEIntegrator
Add a step handler to this integrator.
addSub(Fraction, boolean) - Method in class org.apache.commons.math.fraction.Fraction
Implement add and subtract using algorithm described in Knuth 4.5.1.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Change an entry in the specified row and column.
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
Add a value to the data
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Add a value to the data
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Add a value to the data
addValue(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. use Frequency.addValue(Comparable) instead
addValue(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(int) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(Integer) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(long) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(char) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
advance() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Advance iterator one step further.
advance() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Advance iterator one step further.
after - Variable in class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator.Corrector
Current state after correction.
aggregate(Collection<SummaryStatistics>) - Static method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Computes aggregate summary statistics.
aggregateStatistics - Variable in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
An additional SummaryStatistics into which values added to these statistics (and possibly others) are aggregated
AggregateSummaryStatistics - Class in org.apache.commons.math.stat.descriptive
An aggregator for SummaryStatistics from several data sets or data set partitions.
AggregateSummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with default statistics implementations.
AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AggregateSummaryStatistics.AggregatingSummaryStatistics - Class in org.apache.commons.math.stat.descriptive
A SummaryStatistics that also forwards all values added to it to a second SummaryStatistics for aggregation.
AggregateSummaryStatistics.AggregatingSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
Initializes a new AggregatingSummaryStatistics with the specified aggregate statistics object
alpha - Variable in class org.apache.commons.math.distribution.BetaDistributionImpl
First shape parameter.
alpha - Variable in class org.apache.commons.math.distribution.GammaDistributionImpl
The shape parameter.
alpha - Variable in class org.apache.commons.math.distribution.WeibullDistributionImpl
The shape parameter.
angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the angular separation between two vectors.
anovaFValue(Collection<double[]>) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova
Computes the ANOVA F-value for a collection of double[] arrays.
anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl
Computes the ANOVA F-value for a collection of double[] arrays.
anovaPValue(Collection<double[]>) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova
Computes the ANOVA P-value for a collection of double[] arrays.
anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl
Computes the ANOVA P-value for a collection of double[] arrays.
anovaStats(Collection<double[]>) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl
This method actually does the calculations (except P-value).
anovaTest(Collection<double[]>, double) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova
Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl
Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
AnyMatrix - Interface in org.apache.commons.math.linear
Interface defining very basic matrix operations.
append(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a T to this vector.
append(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a T array to this vector.
append(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a vector to this vector.
append(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a double to this vector.
append(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a double array to this vector.
append(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in interface org.apache.commons.math.linear.FieldVector
Construct a vector by appending a T to this vector.
append(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Construct a vector by appending a T array to this vector.
append(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to append a OpenMapRealVector.
append(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Construct a vector by appending a double to this vector.
append(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Construct a vector by appending a double array to this vector.
append(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in interface org.apache.commons.math.linear.RealVector
Construct a vector by appending a double to this vector.
append(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Construct a vector by appending a double array to this vector.
append(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a T to this vector.
append(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a T array to this vector.
append(ContinuousOutputModel) - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Append another model at the end of the instance.
append(StringBuffer, double[], String, String, String) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Append a text representation of an array to a buffer.
apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Apply the given statistic to the data associated with this set of statistics.
apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Apply the given statistic to the data associated with this set of statistics.
applyInverseTo(Vector3D) - Method in class org.apache.commons.math.geometry.Rotation
Apply the inverse of the rotation to a vector.
applyInverseTo(Rotation) - Method in class org.apache.commons.math.geometry.Rotation
Apply the inverse of the instance to another rotation.
applyTo(Vector3D) - Method in class org.apache.commons.math.geometry.Rotation
Apply the rotation to a vector.
applyTo(Rotation) - Method in class org.apache.commons.math.geometry.Rotation
Apply the instance to another rotation.
argument - Variable in exception org.apache.commons.math.FunctionEvaluationException
Argument causing function evaluation failure
ArgumentOutsideDomainException - Exception in org.apache.commons.math
Error thrown when a method is called with an out of bounds argument.
ArgumentOutsideDomainException(double, double, double) - Constructor for exception org.apache.commons.math.ArgumentOutsideDomainException
Constructs an exception with specified formatted detail message.
arguments - Variable in exception org.apache.commons.math.MathException
Arguments used to build the message.
arguments - Variable in exception org.apache.commons.math.MathRuntimeException
Arguments used to build the message.
arity - Variable in class org.apache.commons.math.genetics.TournamentSelection
number of chromosomes included in the tournament selections
Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Implementation of FieldMatrix using a FieldElement[][] array to store entries.
Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Creates a matrix with no data
Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix with the supplied row and column dimensions.
Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix using the input array as the underlying data array.
Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix using the input array as the underlying data array.
Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new (column) FieldMatrix using v as the data for the unique column of the v.length x 1 matrix created.
Array2DRowRealMatrix - Class in org.apache.commons.math.linear
Implementation of RealMatrix using a double[][] array to store entries and LU decomposition to support linear system solution and inverse.
Array2DRowRealMatrix() - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Creates a matrix with no data
Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new (column) RealMatrix using v as the data for the unique column of the v.length x 1 matrix created.
ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
This class implements the FieldVector interface with a FieldElement array.
ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Build a 0-length vector.
ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a (size)-length vector of zeros.
ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct an (size)-length vector with preset values.
ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from part of a array.
ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from another vector.
ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayRealVector - Class in org.apache.commons.math.linear
This class implements the RealVector interface with a double array.
ArrayRealVector() - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Build a 0-length vector.
ArrayRealVector(int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a (size)-length vector of zeros.
ArrayRealVector(int, double) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct an (size)-length vector with preset values.
ArrayRealVector(double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from an array, copying the input array.
ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Create a new ArrayRealVector using the input array as the underlying data array.
ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from part of a array.
ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from an array.
ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from part of a Double array
ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from another vector.
ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
asin() - Method in class org.apache.commons.math.complex.Complex
Compute the inverse sine of this complex number.
assignPointsToClusters(Collection<Cluster<T>>, Collection<T>) - Static method in class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer
Adds the given points to the closest Cluster.
atan() - Method in class org.apache.commons.math.complex.Complex
Compute the inverse tangent of this complex number.

B

b - Static variable in class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaIntegrator
Propagation weights Butcher array.
b - Variable in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
External weights for the high order method from Butcher array.
b - Static variable in class org.apache.commons.math.ode.nonstiff.EulerIntegrator
Propagation weights Butcher array.
b - Static variable in class org.apache.commons.math.ode.nonstiff.GillIntegrator
Propagation weights Butcher array.
b - Static variable in class org.apache.commons.math.ode.nonstiff.MidpointIntegrator
Propagation weights Butcher array.
b - Variable in class org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator
External weights for the high order method from Butcher array.
b - Static variable in class org.apache.commons.math.ode.nonstiff.ThreeEighthesIntegrator
Propagation weights Butcher array.
b_01 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Propagation weights, element 1.
b_06 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Propagation weights, element 6.
b_07 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Propagation weights, element 7.
b_08 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Propagation weights, element 8.
b_09 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Propagation weights, element 9.
b_10 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Propagation weights, element 10.
b_11 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Propagation weights, element 11.
b_12 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Propagation weights, element 12.
bandwidth - Variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
The bandwidth parameter: when computing the loess fit at a particular point, this fraction of source points closest to the current point is taken into account for computing a least-squares regression.
baseSeqPermutation - Variable in class org.apache.commons.math.genetics.RandomKey
Base sequence [0,1,...,n-1], permuted accorting to the representation (unmodifiable).
baseSequence(int) - Static method in class org.apache.commons.math.genetics.RandomKey
Helper for constructor.
before - Variable in class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator.Corrector
Current state before correction.
beta - Variable in class org.apache.commons.math.distribution.BetaDistributionImpl
Second shape parameter.
beta - Variable in class org.apache.commons.math.distribution.GammaDistributionImpl
The scale parameter.
beta - Variable in class org.apache.commons.math.distribution.WeibullDistributionImpl
The scale parameter.
beta - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Coefficients of the Householder transforms vectors.
beta - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Coefficients of the Householder transforms vectors.
Beta - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the Beta family of functions.
Beta() - Constructor for class org.apache.commons.math.special.Beta
Default constructor.
BetaDistribution - Interface in org.apache.commons.math.distribution
Computes the cumulative, inverse cumulative and density functions for the beta distribuiton.
BetaDistributionImpl - Class in org.apache.commons.math.distribution
Implements the Beta distribution.
BetaDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.BetaDistributionImpl
Build a new instance.
BiDiagonalTransformer - Class in org.apache.commons.math.linear
Class transforming any matrix to bi-diagonal shape.
BiDiagonalTransformer(RealMatrix) - Constructor for class org.apache.commons.math.linear.BiDiagonalTransformer
Build the transformation to bi-diagonal shape of a matrix.
bigDecimalValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a BigDecimal.
bigDecimalValue(int) - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a BigDecimal following the passed rounding mode.
bigDecimalValue(int, int) - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a BigDecimal following the passed scale and rounding mode.
bigDecimalValue() - Method in class org.apache.commons.math.util.BigReal
Get the BigDecimal value corresponding to the instance.
BigFraction - Class in org.apache.commons.math.fraction
Representation of a rational number without any overflow.
BigFraction(BigInteger) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction equivalent to the passed BigInteger, ie "num / 1".
BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction given the numerator and denominator as BigInteger.
BigFraction(double) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a fraction given the double value.
BigFraction(double, double, int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a fraction given the double value and maximum error allowed.
BigFraction(double, double, int, int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a fraction given the double value and either the maximum error allowed or the maximum number of denominator digits.
BigFraction(double, int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a fraction given the double value and maximum denominator.
BigFraction(int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction equivalent to the passed int, ie "num / 1".
BigFraction(int, int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple int.
BigFraction(long) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction equivalent to the passed long, ie "num / 1".
BigFraction(long, long) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple long.
BigFractionField - Class in org.apache.commons.math.fraction
Representation of the fractional numbers without any overflow field.
BigFractionField() - Constructor for class org.apache.commons.math.fraction.BigFractionField
Private constructor for the singleton.
BigFractionField.LazyHolder - Class in org.apache.commons.math.fraction
Holder for the instance.
BigFractionField.LazyHolder() - Constructor for class org.apache.commons.math.fraction.BigFractionField.LazyHolder
 
BigFractionFormat - Class in org.apache.commons.math.fraction
Formats a BigFraction number in proper format or improper format.
BigFractionFormat() - Constructor for class org.apache.commons.math.fraction.BigFractionFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.BigFractionFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.BigFractionFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math.linear.MatrixUtils
Convert a FieldMatrix/BigFraction matrix to a RealMatrix.
BigMatrix - Interface in org.apache.commons.math.linear
Deprecated. as of 2.0, replaced by FieldMatrix with a BigReal parameter
BigMatrixImpl - Class in org.apache.commons.math.linear
Deprecated. as of 2.0, replaced by Array2DRowFieldMatrix with a BigReal parameter
BigMatrixImpl() - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Creates a matrix with no data
BigMatrixImpl(int, int) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix with the supplied row and column dimensions.
BigMatrixImpl(BigDecimal[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using d as the underlying data array.
BigMatrixImpl(BigDecimal[][], boolean) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using the input array as the underlying data array.
BigMatrixImpl(double[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using d as the underlying data array.
BigMatrixImpl(String[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using the values represented by the strings in d as the underlying data array.
BigMatrixImpl(BigDecimal[]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new (column) BigMatrix using v as the data for the unique column of the v.length x 1 matrix created.
BigReal - Class in org.apache.commons.math.util
Arbitrary precision decimal number.
BigReal(BigDecimal) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a BigDecimal.
BigReal(BigInteger) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a BigInteger.
BigReal(BigInteger, int) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a BigInteger.
BigReal(char[]) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(char[], MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(double) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a double.
BigReal(double, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a double.
BigReal(int) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an int.
BigReal(int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an int.
BigReal(long) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a long.
BigReal(long, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a long.
BigReal(String) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a String representation.
BigReal(String, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a String representation.
BigRealField - Class in org.apache.commons.math.util
Representation of real numbers with arbitrary precision field.
BigRealField() - Constructor for class org.apache.commons.math.util.BigRealField
Private constructor for the singleton.
BigRealField.LazyHolder - Class in org.apache.commons.math.util
Holder for the instance.
BigRealField.LazyHolder() - Constructor for class org.apache.commons.math.util.BigRealField.LazyHolder
 
BinaryChromosome - Class in org.apache.commons.math.genetics
Chromosome represented by a vector of 0s and 1s.
BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math.genetics.BinaryChromosome
Constructor.
BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math.genetics.BinaryChromosome
Constructor.
BinaryMutation - Class in org.apache.commons.math.genetics
Mutation for BinaryChromosomes.
BinaryMutation() - Constructor for class org.apache.commons.math.genetics.BinaryMutation
 
binCount - Variable in class org.apache.commons.math.random.EmpiricalDistributionImpl
number of bins
binomialCoefficient(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns an exact representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns a double representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the natural log of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
BinomialDistribution - Interface in org.apache.commons.math.distribution
The Binomial Distribution.
BinomialDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of BinomialDistribution.
BinomialDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.BinomialDistributionImpl
Create a binomial distribution with the given number of trials and probability of success.
binStats - Variable in class org.apache.commons.math.random.EmpiricalDistributionImpl
List of SummaryStatistics objects characterizing the bins
BisectionSolver - Class in org.apache.commons.math.analysis.solvers
Implements the bisection algorithm for finding zeros of univariate real functions.
BisectionSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.BisectionSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the BisectionSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
BisectionSolver() - Constructor for class org.apache.commons.math.analysis.solvers.BisectionSolver
Construct a solver.
BitsStreamGenerator - Class in org.apache.commons.math.random
Base class for random number generators that generates bits streams.
BitsStreamGenerator() - Constructor for class org.apache.commons.math.random.BitsStreamGenerator
Creates a new random number generator.
BLOCK_SIZE - Static variable in class org.apache.commons.math.linear.BlockFieldMatrix
Block size.
BLOCK_SIZE - Static variable in class org.apache.commons.math.linear.BlockRealMatrix
Block size.
blockColumns - Variable in class org.apache.commons.math.linear.BlockFieldMatrix
Number of block columns of the matrix.
blockColumns - Variable in class org.apache.commons.math.linear.BlockRealMatrix
Number of block columns of the matrix.
BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix
Create a new matrix with the supplied row and column dimensions.
BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix
Create a new dense matrix copying entries from raw layout data.
BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix
Create a new dense matrix copying entries from block layout data.
blockHeight(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Get the height of a block.
blockHeight(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Get the height of a block.
BlockRealMatrix - Class in org.apache.commons.math.linear
Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix
Create a new matrix with the supplied row and column dimensions.
BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix
Create a new dense matrix copying entries from raw layout data.
BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix
Create a new dense matrix copying entries from block layout data.
blockRows - Variable in class org.apache.commons.math.linear.BlockFieldMatrix
Number of block rows of the matrix.
blockRows - Variable in class org.apache.commons.math.linear.BlockRealMatrix
Number of block rows of the matrix.
blocks - Variable in class org.apache.commons.math.linear.BlockFieldMatrix
Blocks of matrix entries.
blocks - Variable in class org.apache.commons.math.linear.BlockRealMatrix
Blocks of matrix entries.
blockWidth(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Get the width of a block.
blockWidth(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Get the width of a block.
bound - Variable in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Indicator for bound parameters (ie parameters that should not be estimated)
bracket(UnivariateRealFunction, double, double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) < 0 If f is continuous on [a,b], this means that a and b bracket a root of f.
bracket(UnivariateRealFunction, double, double, double, int) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) <= 0 If f is continuous on [a,b], this means that a and b bracket a root of f.
BrentOptimizer - Class in org.apache.commons.math.optimization.univariate
Implements Richard Brent's algorithm (from his book "Algorithms for Minimization without Derivatives", p.
BrentOptimizer() - Constructor for class org.apache.commons.math.optimization.univariate.BrentOptimizer
Construct a solver.
BrentSolver - Class in org.apache.commons.math.analysis.solvers
Implements the Brent algorithm for finding zeros of real univariate functions.
BrentSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the BrentSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
BrentSolver() - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver
Construct a solver.
buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix
Build an array of elements.
buildArray(Field<T>, int) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix
Build an array of elements.
buildArray(int) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Build an array of elements.
buildArray(int) - Method in class org.apache.commons.math.linear.SparseFieldVector
Build an array of elements.
buildArray(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Build an array of elements.
buildMessage(Locale, String, Object...) - Static method in exception org.apache.commons.math.MathException
Builds a message string by from a pattern and its arguments.
buildMessage(Locale, String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Builds a message string by from a pattern and its arguments.
buildP(int) - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Build the P matrix.
buildPolynomial(int, ArrayList<BigFraction>, PolynomialsUtils.RecurrenceCoefficientsGenerator) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Get the coefficients array for a given degree.
buildSimplex(double[]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Build an initial simplex.

C

c - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Members of c[] are called centers of the Newton polynomial.
c - Static variable in class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaIntegrator
Time steps Butcher array.
c - Variable in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Time steps from Butcher array (without the first zero).
c - Static variable in class org.apache.commons.math.ode.nonstiff.EulerIntegrator
Time steps Butcher array.
c - Static variable in class org.apache.commons.math.ode.nonstiff.GillIntegrator
Time steps Butcher array.
c - Static variable in class org.apache.commons.math.ode.nonstiff.MidpointIntegrator
Time steps Butcher array.
c - Variable in class org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator
Time steps from Butcher array (without the first zero).
c - Static variable in class org.apache.commons.math.ode.nonstiff.ThreeEighthesIntegrator
Time steps Butcher array.
c - Static variable in class org.apache.commons.math.optimization.univariate.BrentOptimizer
Golden section.
c1 - Variable in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Update coefficients of the higher order derivatives wrt y'.
c14 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Time step for stage 14 (interpolation only).
c15 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Time step for stage 15 (interpolation only).
c16 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Time step for stage 16 (interpolation only).
C_LIMIT - Static variable in class org.apache.commons.math.special.Gamma
C limit
cache - Static variable in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Cache for already computed coefficients.
cachedB - Variable in class org.apache.commons.math.linear.BiDiagonalTransformer
Cached value of B.
cachedD - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Cached value of D.
cachedH - Variable in class org.apache.commons.math.linear.QRDecompositionImpl
Cached value of H.
cachedL - Variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Cached value of L.
cachedL - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Cached value of L.
cachedL - Variable in class org.apache.commons.math.linear.LUDecompositionImpl
Cached value of L.
cachedLT - Variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Cached value of LT.
cachedNormalDeviate - Variable in class org.apache.commons.math.random.AbstractRandomGenerator
Cached random normal value.
cachedP - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Cached value of P.
cachedP - Variable in class org.apache.commons.math.linear.LUDecompositionImpl
Cached value of P.
cachedQ - Variable in class org.apache.commons.math.linear.QRDecompositionImpl
Cached value of Q.
cachedQ - Variable in class org.apache.commons.math.linear.TriDiagonalTransformer
Cached value of Q.
cachedQT - Variable in class org.apache.commons.math.linear.QRDecompositionImpl
Cached value of QT.
cachedQt - Variable in class org.apache.commons.math.linear.TriDiagonalTransformer
Cached value of Qt.
cachedR - Variable in class org.apache.commons.math.linear.QRDecompositionImpl
Cached value of R.
cachedS - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Cached value of S.
cachedT - Variable in class org.apache.commons.math.linear.TriDiagonalTransformer
Cached value of T.
cachedU - Variable in class org.apache.commons.math.linear.BiDiagonalTransformer
Cached value of U.
cachedU - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Cached value of U.
cachedU - Variable in class org.apache.commons.math.linear.LUDecompositionImpl
Cached value of U.
cachedU - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Cached value of U.
cachedUt - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Cached value of UT.
cachedV - Variable in class org.apache.commons.math.linear.BiDiagonalTransformer
Cached value of V.
cachedV - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Cached value of V.
cachedV - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Cached value of V.
cachedVt - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Cached value of Vt.
cachedVt - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Cached value of VT.
calculateBeta() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Calculates the beta of multiple linear regression in matrix notation.
calculateBeta() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Calculates beta by GLS.
calculateBeta() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Calculates regression coefficients using OLS.
calculateBetaVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Calculates the beta variance of multiple linear regression in matrix notation.
calculateBetaVariance() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Calculates the variance on the beta by GLS.
calculateBetaVariance() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Calculates the variance on the beta by OLS.
calculateHat() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Compute the "hat" matrix.
calculateResiduals() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Calculates the residuals of multiple linear regression in matrix notation.
calculateYVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Calculates the Y variance of multiple linear regression.
calculateYVariance() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Calculates the variance on the y by GLS.
calculateYVariance() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Calculates the variance on the Y by OLS.
CardanEulerSingularityException - Exception in org.apache.commons.math.geometry
This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation.
CardanEulerSingularityException(boolean) - Constructor for exception org.apache.commons.math.geometry.CardanEulerSingularityException
Simple constructor.
CauchyDistribution - Interface in org.apache.commons.math.distribution
Cauchy Distribution.
CauchyDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of CauchyDistribution.
CauchyDistributionImpl() - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl
Creates cauchy distribution with the medain equal to zero and scale equal to one.
CauchyDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl
Create a cauchy distribution using the given median and scale.
center - Variable in class org.apache.commons.math.stat.clustering.Cluster
Center of the cluster.
centroidOf(Collection<T>) - Method in interface org.apache.commons.math.stat.clustering.Clusterable
Returns the centroid of the given Collection of points.
centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Returns the centroid of the given Collection of points.
changeIndexSign(int) - Static method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Change the index sign
changeIndexSign(int) - Static method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Change the index sign
CHEBYSHEV_COEFFICIENTS - Static variable in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Coefficients for Chebyshev polynomials.
checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if a matrix is addition compatible with the instance
checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if matrices are addition compatible
checkAllFiniteReal(double[], boolean) - Static method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Check that all elements of an array are finite real numbers.
checkArray(long[][]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Checks to make sure that the input long[][] array is rectangular, has at least 2 rows and 2 columns, and has all non-negative entries, throwing IllegalArgumentException if any of these checks fail.
checkBinomial(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Check binomial preconditions.
checkColumnIndex(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if a column index is valid.
checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if a column index is valid.
checkContractExpand(float, float) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Checks the expansion factor and the contraction criteria and throws an IllegalArgumentException if the contractionCriteria is less than the expansionCriteria
checkDimension(int) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Throws DimensionMismatchException if dimension != k.
checkEmpty() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Throws IllegalStateException if n > 0.
checkEmpty() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Throws IllegalStateException if n > 0.
checkEmpty() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Throws IllegalStateException if n > 0.
checker - Variable in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Convergence checker.
checker - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Convergence checker.
checker - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Convergence checker.
checkIndex(int) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Check if an index is valid.
checkIndex(int) - Method in class org.apache.commons.math.linear.ArrayRealVector
Check if an index is valid.
checkIndex(int) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Check if an index is valid.
checkIndex(int) - Method in class org.apache.commons.math.linear.SparseFieldVector
Check if an index is valid.
checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if a matrix is multiplication compatible with the instance
checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if matrices are multiplication compatible
checkNonNegative(long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Check all entries of the input array are >= 0.
checkNonNegative(long[][]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Check all entries of the input array are >= 0.
checkPositive(double[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Check all entries of the input array are > 0.
checkRectangular(long[][]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Throws IllegalArgumentException if the input array is not rectangular.
checkResultComputed() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Check if a result has been computed.
checkResultComputed() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Check if a result has been computed.
checkRowIndex(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if a row index is valid.
checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if a row index is valid.
checkSampleData(double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Check sample data.
checkSampleData(StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Check sample data.
checkSignificanceLevel(double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Check significance level.
checkStrictlyIncreasing(double[]) - Static method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Check that elements of the abscissae array are in a strictly increasing order.
checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if a matrix is subtraction compatible with the instance
checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if matrices are subtraction compatible
checkSufficientData(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.Covariance
Throws IllegalArgumentException of the matrix does not have at least two columns and two rows
checkSufficientData(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Throws IllegalArgumentException of the matrix does not have at least two columns and two rows
checkUpperTriangular(RealMatrix, double) - Static method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Check if a matrix is upper-triangular.
checkValidity(List<T>) - Method in class org.apache.commons.math.genetics.AbstractListChromosome
Asserts that representation can represent a valid chromosome.
checkValidity(List<Integer>) - Method in class org.apache.commons.math.genetics.BinaryChromosome
Asserts that representation can represent a valid chromosome.
checkValidity(List<Double>) - Method in class org.apache.commons.math.genetics.RandomKey
Asserts that representation can represent a valid chromosome.
checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.ArrayRealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.SparseFieldVector
Check if instance dimension is equal to some expected value.
chiSquare(double[], long[]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Computes the Chi-Square statistic comparing observed and expected frequency counts.
chiSquare(long[][]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Computes the Chi-Square statistic associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquare(double[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Computes the Chi-Square statistic comparing observed and expected frequency counts.
chiSquare(long[][]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquare(double[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquare(long[][]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareDataSetsComparison(long[], long[]) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest
Computes a Chi-Square two sample test statistic comparing bin frequency counts in observed1 and observed2.
ChiSquaredDistribution - Interface in org.apache.commons.math.distribution
The Chi-Squared Distribution.
ChiSquaredDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of ChiSquaredDistribution
ChiSquaredDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Create a Chi-Squared distribution with the given degrees of freedom.
ChiSquaredDistributionImpl(double, GammaDistribution) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Create a Chi-Squared distribution with the given degrees of freedom.
ChiSquareTest - Interface in org.apache.commons.math.stat.inference
An interface for Chi-Square tests.
chiSquareTest(double[], long[]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
chiSquareTest(double[], long[], double) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
chiSquareTest(long[][]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquareTest(long[][], double) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level alpha.
chiSquareTest(double[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
chiSquareTest(long[][]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTest(long[][], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTest - Static variable in class org.apache.commons.math.stat.inference.TestUtils
Singleton ChiSquareTest instance using default implementation.
chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTest(long[][], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTest(long[][]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[]) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest
Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in observed1 and observed2.
chiSquareTestDataSetsComparison(long[], long[], double) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest
Performs a Chi-Square two sample test comparing two binned data sets.
ChiSquareTestImpl - Class in org.apache.commons.math.stat.inference
Implements Chi-Square test statistics defined in the UnknownDistributionChiSquareTest interface.
ChiSquareTestImpl() - Constructor for class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Construct a ChiSquareTestImpl
ChiSquareTestImpl(ChiSquaredDistribution) - Constructor for class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Create a test instance using the given distribution for computing inference statistics.
CholeskyDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the Cholesky decomposition of a real symmetric positive-definite matrix.
CholeskyDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the Cholesky decomposition of a matrix.
CholeskyDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.CholeskyDecompositionImpl
Calculates the Cholesky decomposition of the given matrix.
CholeskyDecompositionImpl(RealMatrix, double, double) - Constructor for class org.apache.commons.math.linear.CholeskyDecompositionImpl
Calculates the Cholesky decomposition of the given matrix.
CholeskyDecompositionImpl.Solver - Class in org.apache.commons.math.linear
Specialized solver.
CholeskyDecompositionImpl.Solver(double[][]) - Constructor for class org.apache.commons.math.linear.CholeskyDecompositionImpl.Solver
Build a solver from decomposed matrix.
chooseInitialCenters(Collection<T>, int, Random) - Static method in class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer
Use K-means++ to choose the initial centers.
Chromosome - Class in org.apache.commons.math.genetics
Individual in a population.
Chromosome() - Constructor for class org.apache.commons.math.genetics.Chromosome
 
ChromosomePair - Class in org.apache.commons.math.genetics
A pair of Chromosome objects.
ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math.genetics.ChromosomePair
Create a chromosome pair.
chromosomes - Variable in class org.apache.commons.math.genetics.ListPopulation
List of chromosomes
classes() - Method in class org.apache.commons.math.util.TransformerMap
Returns the Set of Classes used as keys in the map.
ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaIntegrator
Simple constructor.
ClassicalRungeKuttaStepInterpolator - Class in org.apache.commons.math.ode.nonstiff
This class implements a step interpolator for the classical fourth order Runge-Kutta integrator.
ClassicalRungeKuttaStepInterpolator() - Constructor for class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
Simple constructor.
ClassicalRungeKuttaStepInterpolator(ClassicalRungeKuttaStepInterpolator) - Constructor for class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
Copy constructor.
clear() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Clears the cache used by the default implementation of AbstractRandomGenerator.nextGaussian().
clear() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Clears the internal state of the Statistic
clear() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.Frequency
Clears the frequency table
clear() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Clears all data from the model.
clear() - Method in interface org.apache.commons.math.util.DoubleArray
Clear the double array
clear() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Clear the array, reset the size to the initialCapacity and the number of elements to zero.
clear() - Method in class org.apache.commons.math.util.TransformerMap
Clears all the Class to Transformer mappings.
clearEventHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventsHandlers() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Remove all the events handlers that have been added to the manager.
clearResult() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Convenience function for implementations.
clearResult() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Convenience function for implementations.
clearResult() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Convenience function for implementations.
clearStepHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Remove all the step handlers that have been added to the integrator.
clone() - Method in class org.apache.commons.math.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
clone(FastFourierTransformer.MultiDimensionalComplexMatrix) - Method in class org.apache.commons.math.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
Copy contents of current array into mdcm.
closeReplayFile() - Method in class org.apache.commons.math.random.ValueServer
Closes valuesFileURL after use in REPLAY_MODE.
Cluster<T extends Clusterable<T>> - Class in org.apache.commons.math.stat.clustering
Cluster holding a set of Clusterable points.
Cluster(T) - Constructor for class org.apache.commons.math.stat.clustering.Cluster
Build a cluster centered at a specified point.
cluster(Collection<T>, int, int) - Method in class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer
Runs the K-means++ clustering algorithm.
Clusterable<T> - Interface in org.apache.commons.math.stat.clustering
Interface for points that can be clustered together.
coeff - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
extrapolation coefficients.
coefficients - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
The coefficients of the polynomial, ordered by degree -- i.e., coefficients[0] is the constant term and coefficients[n] is the coefficient of x^n where n is the degree of the polynomial.
coefficients - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
The coefficients of the polynomial, ordered by degree -- i.e.
coefficients - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
The coefficients of the polynomial, ordered by degree -- i.e.
coefficients - Variable in class org.apache.commons.math.optimization.linear.LinearConstraint
Coefficients of the constraint (left hand side).
coefficients - Variable in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Coefficients of the constraint (ci).
coefficientsComputed - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Whether the polynomial coefficients are available.
coefficientsComputed - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Whether the polynomial coefficients are available.
cols - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Number of columns of the jacobian matrix.
cols - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Number of columns of the jacobian matrix.
columnDimension - Variable in class org.apache.commons.math.linear.OpenMapRealMatrix
Number of columns of the matrix.
columnDimension - Variable in class org.apache.commons.math.linear.SparseFieldMatrix
column dimension
columns - Variable in class org.apache.commons.math.linear.BlockFieldMatrix
Number of columns of the matrix.
columns - Variable in class org.apache.commons.math.linear.BlockRealMatrix
Number of columns of the matrix.
CombinedEventsManager - Class in org.apache.commons.math.ode.events
This class manages several event handlers during integration.
CombinedEventsManager() - Constructor for class org.apache.commons.math.ode.events.CombinedEventsManager
Simple constructor.
comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math.genetics.RandomKey
Generates a representation of a permutation corresponding to the data sorted by comparator.
compare(Comparable<T>, Comparable<T>) - Method in class org.apache.commons.math.stat.Frequency.NaturalComparator
Compare the two Comparable arguments.
compareTo(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Compares this object to another based on size.
compareTo(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Compares this object to another based on size.
compareTo(Chromosome) - Method in class org.apache.commons.math.genetics.Chromosome
Compares two chromosomes based on their fitness.
compareTo(NaturalRanking.IntDoublePair) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking.IntDoublePair
Compare this IntDoublePair to another pair.
compareTo(BigReal) - Method in class org.apache.commons.math.util.BigReal
compareTo(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils
Compares two numbers given some amount of allowed error.
Complex - Class in org.apache.commons.math.complex
Representation of a Complex number - a number which has both a real and imaginary part.
Complex(double, double) - Constructor for class org.apache.commons.math.complex.Complex
Create a complex number given the real and imaginary parts.
ComplexField - Class in org.apache.commons.math.complex
Representation of the complex numbers field.
ComplexField() - Constructor for class org.apache.commons.math.complex.ComplexField
Private constructor for the singleton.
ComplexField.LazyHolder - Class in org.apache.commons.math.complex
Holder for the instance.
ComplexField.LazyHolder() - Constructor for class org.apache.commons.math.complex.ComplexField.LazyHolder
 
ComplexFormat - Class in org.apache.commons.math.complex
Formats a Complex number in cartesian format "Re(c) + Im(c)i".
ComplexFormat() - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.
ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with a custom number format for both real and imaginary parts.
ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with a custom number format for the real part and a custom number format for the imaginary part.
ComplexFormat(String) - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts.
ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts.
ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.
ComplexUtils - Class in org.apache.commons.math.complex
Static implementations of common Complex utilities functions.
ComplexUtils() - Constructor for class org.apache.commons.math.complex.ComplexUtils
Default constructor.
CompositeFormat - Class in org.apache.commons.math.util
Base class for formatters of composite objects (complex numbers, vectors ...).
CompositeFormat() - Constructor for class org.apache.commons.math.util.CompositeFormat
 
computeBinStats(double, double) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl.ArrayDataAdapter
Computes binStats
computeBinStats(double, double) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl.DataAdapter
Compute bin stats.
computeBinStats(double, double) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl.StreamDataAdapter
Computes binStats
computeCapacity(int) - Static method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Compute the capacity needed for a given size.
computeCapacity(int) - Static method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Compute the capacity needed for a given size.
computeCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Calculate the coefficients of Lagrange polynomial from the interpolation data.
computeCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Calculate the normal polynomial coefficients given the Newton form.
computeCoefficients(int, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Compute the interpolation coefficients for dense output.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math.stat.correlation.Covariance
Compute a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math.stat.correlation.Covariance
Compute a covariance matrix from a rectangular array whose columns represent covariates.
computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math.stat.correlation.Covariance
Create a covariance matrix from a rectangual array whose columns represent covariates.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Compute the derivatives and check the number of evaluations.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math.ode.FirstOrderConverter
Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math.ode.FirstOrderDifferentialEquations
Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math.ode.MultistepIntegrator.CountingDifferentialEquations
Get the current time derivative of the state vector.
computeDistribution() - Method in class org.apache.commons.math.random.ValueServer
Computes the empirical distribution using values from the file in valuesFileURL, using the default number of bins.
computeDistribution(int) - Method in class org.apache.commons.math.random.ValueServer
Computes the empirical distribution using values from the file in valuesFileURL and binCount bins.
computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator
Returns a copy of the divided difference array.
computeGershgorinCircles() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Compute the Gershgorin circles for all rows.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.nonstiff.EulerStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.nonstiff.GillStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.nonstiff.HighamHall54StepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.nonstiff.MidpointStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.nonstiff.ThreeEighthesStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Compute the state at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Compute the state and derivatives at the interpolated time.
computeKey(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute the key to access a matrix element
computeKey(int, int) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Compute the key to access a matrix element
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Compute the gradient vector.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Compute the objective function value.
computeObjectiveValue(UnivariateRealFunction, double) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Compute the objective function value.
computeOmega(int) - Method in class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Computes the nth roots of unity.
computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math.ode.SecondOrderDifferentialEquations
Get the current time derivative of the state vector.
computeShiftIncrement(int, int, int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Compute the shift increment as an estimate of the smallest eigenvalue.
computeSplits() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Compute splitting points.
computeStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl.ArrayDataAdapter
Computes sampleStats
computeStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl.DataAdapter
Compute sample statistics.
computeStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl.StreamDataAdapter
Computes sampleStats
computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Compute step grow/shrink factor according to normalized error.
computeUpToDegree(int, int, PolynomialsUtils.RecurrenceCoefficientsGenerator, ArrayList<BigFraction>) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Compute polynomial coefficients up to a given degree.
conjugate() - Method in class org.apache.commons.math.complex.Complex
Return the conjugate of this complex number.
ConjugateGradientFormula - Enum in org.apache.commons.math.optimization.general
Available choices of update formulas for the β parameter in NonLinearConjugateGradientOptimizer.
ConjugateGradientFormula() - Constructor for enum org.apache.commons.math.optimization.general.ConjugateGradientFormula
 
CONSTANT_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Always return mu
constantTerm - Variable in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Constant term of the linear equation.
constraints - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Linear constraints.
constraints - Variable in class org.apache.commons.math.optimization.linear.SimplexTableau
Linear constraints.
containsClass(Class<?>) - Method in class org.apache.commons.math.util.TransformerMap
Tests if a Class is present in the TransformerMap.
containsKey(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Check if a value is associated with a key.
containsKey(int, int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Check if the tables contain an element associated with specified key at specified index.
containsKey(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Check if a value is associated with a key.
containsKey(int, int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Check if the tables contain an element associated with specified key at specified index.
containsNaNs(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Checks for presence of NaNs in ranks.
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math.util.TransformerMap
Tests if a NumberTransformer is present in the TransformerMap.
contents - Static variable in class org.apache.commons.math.MessagesResources_fr
Non-translated/translated messages arrays.
CONTINUE - Static variable in interface org.apache.commons.math.ode.events.EventHandler
Continue indicator.
ContinuedFraction - Class in org.apache.commons.math.util
Provides a generic means to evaluate continued fractions.
ContinuedFraction() - Constructor for class org.apache.commons.math.util.ContinuedFraction
Default constructor.
ContinuousDistribution - Interface in org.apache.commons.math.distribution
Base interface for continuous distributions.
ContinuousOutputModel - Class in org.apache.commons.math.ode
This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
ContinuousOutputModel() - Constructor for class org.apache.commons.math.ode.ContinuousOutputModel
Simple constructor.
contract() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
contractionCriteria - Variable in class org.apache.commons.math.util.ResizableDoubleArray
The contraction criteria determines when the internal array will be contracted to fit the number of elements contained in the element array + 1.
converged(int, RealPointValuePair, RealPointValuePair) - Method in interface org.apache.commons.math.optimization.RealConvergenceChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, RealPointValuePair, RealPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleRealPointChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, RealPointValuePair, RealPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleScalarValueChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in interface org.apache.commons.math.optimization.VectorialConvergenceChecker
Check if the optimization algorithm has converged considering the last points.
convergence - Variable in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Threshold for cost convergence.
convergence - Variable in class org.apache.commons.math.ode.events.EventState
Convergence threshold for event localization.
ConvergenceException - Exception in org.apache.commons.math
Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
ConvergenceException() - Constructor for exception org.apache.commons.math.ConvergenceException
Default constructor.
ConvergenceException(String, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException
Constructs an exception with specified formatted detail message.
ConvergenceException(Throwable) - Constructor for exception org.apache.commons.math.ConvergenceException
Create an exception with a given root cause.
ConvergenceException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException
Constructs an exception with specified formatted detail message and root cause.
ConvergingAlgorithm - Interface in org.apache.commons.math
Interface for algorithms handling convergence settings.
ConvergingAlgorithmImpl - Class in org.apache.commons.math
Provide a default implementation for several functions useful to generic converging algorithms.
ConvergingAlgorithmImpl(int, double) - Constructor for class org.apache.commons.math.ConvergingAlgorithmImpl
Construct an algorithm with given iteration count and accuracy.
copy() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix which is a copy of this.
copy() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.FieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.RealVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Copy the instance.
copy() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Copy the instance.
copy() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns a copy of this DescriptiveStatistics instance with the same internal state.
copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Returns a copy of the statistic with the same internal state.
copy(FirstMoment, FirstMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Returns a copy of the statistic with the same internal state.
copy(FourthMoment, FourthMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns a copy of the statistic with the same internal state.
copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Returns a copy of the statistic with the same internal state.
copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns a copy of the statistic with the same internal state.
copy(Mean, Mean) - Static method in class org.apache.commons.math.stat.descriptive.moment.Mean
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Returns a copy of the statistic with the same internal state.
copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Returns a copy of the statistic with the same internal state.
copy(Skewness, Skewness) - Static method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns a copy of the statistic with the same internal state.
copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Returns a copy of the statistic with the same internal state.
copy(ThirdMoment, ThirdMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns a copy of the statistic with the same internal state.
copy(Variance, Variance) - Static method in class org.apache.commons.math.stat.descriptive.moment.Variance
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Returns a copy of the statistic with the same internal state.
copy(Max, Max) - Static method in class org.apache.commons.math.stat.descriptive.rank.Max
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Returns a copy of the statistic with the same internal state.
copy(Min, Min) - Static method in class org.apache.commons.math.stat.descriptive.rank.Min
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns a copy of the statistic with the same internal state.
copy(Percentile, Percentile) - Static method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Copies source to dest.
copy() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns a copy of the statistic with the same internal state.
copy(Product, Product) - Static method in class org.apache.commons.math.stat.descriptive.summary.Product
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Returns a copy of the statistic with the same internal state.
copy(Sum, Sum) - Static method in class org.apache.commons.math.stat.descriptive.summary.Sum
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns a copy of the statistic with the same internal state.
copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns a copy of the statistic with the same internal state.
copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns a copy of this SummaryStatistics instance with the same internal state.
copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.
copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Copies source to dest.
copy() - Method in interface org.apache.commons.math.stat.descriptive.UnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math.util.ResizableDoubleArray
Copies source to dest, copying the underlying data, so dest is a new, independent copy of source.
copy() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns a copy of the ResizableDoubleArray.
copyArray(double[], double[], int) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
 
copyBlockPart(T[], int, int, int, int, int, T[], int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Copy a part of a block into another one
copyBlockPart(double[], int, int, int, int, int, double[], int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Copy a part of a block into another one
copyIn(T[][]) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Replaces data with a fresh copy of the input array.
copyIn(double[][]) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Replaces data with a fresh copy of the input array.
copyIn(BigDecimal[][]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Replaces data with a fresh copy of the input array.
copyIn(double[][]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Replaces data with a fresh copy of the input array.
copyIn(String[][]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Replaces data with BigDecimals represented by the strings in the input array.
copyIn(double[][]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Replaces data with a fresh copy of the input array.
copyOut() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns a fresh copy of the underlying data array.
copyOut() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns a fresh copy of the underlying data array.
copyOut() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns a fresh copy of the underlying data array.
copyOut() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns a fresh copy of the underlying data array.
copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math.linear.RealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math.linear.RealMatrix
Copy a submatrix.
CorrelatedRandomVectorGenerator - Class in org.apache.commons.math.random
A RandomVectorGenerator that generates vectors with with correlated components.
CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Simple constructor.
CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Simple constructor.
correlation(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Computes the Pearson's product-moment correlation coefficient between the two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation coefficient between the two arrays.
correlationMatrix - Variable in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
correlation matrix
cos() - Method in class org.apache.commons.math.complex.Complex
Compute the cosine of this complex number.
cosh() - Method in class org.apache.commons.math.complex.Complex
Compute the hyperbolic cosine of this complex number.
cosh(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the hyperbolic cosine of x.
cost - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Cost value (square root of the sum of the residuals).
cost - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Cost value (square root of the sum of the residuals).
costEvaluations - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Number of cost evaluations.
costPerStep - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
overall cost of applying step reduction up to iteration k+1, in number of calls.
costPerTimeUnit - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
cost per unit step.
costRelativeTolerance - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Desired relative error in the sum of squares.
costRelativeTolerance - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Desired relative error in the sum of squares.
count - Variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Modifications count.
count - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Modifications count.
countEigenValues(double, int, int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Count the number of realEigenvalues below a point.
Covariance - Class in org.apache.commons.math.stat.correlation
Computes covariances for pairs of arrays or columns of a matrix.
Covariance() - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a Covariance with no data
Covariance(double[][], boolean) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(double[][]) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
covariance(double[], double[], boolean) - Method in class org.apache.commons.math.stat.correlation.Covariance
Computes the covariance between the two arrays.
covariance(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.Covariance
Computes the covariance between the two arrays, using the bias-corrected formula.
covarianceImpl - Variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Covariance statistic implementation - cannot be reset.
covarianceMatrix - Variable in class org.apache.commons.math.stat.correlation.Covariance
covariance matrix
covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Derives a correlation matrix from a covariance matrix.
createAdaptor(RandomGenerator) - Static method in class org.apache.commons.math.random.RandomAdaptor
Factory method to create a Random using the supplied RandomGenerator.
createArithmeticException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ArithmeticException with specified formatted detail message.
createArrayIndexOutOfBoundsException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ArrayIndexOutOfBoundsException with specified formatted detail message.
createBigIdentityMatrix(int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0, replaced by MatrixUtils.createFieldIdentityMatrix(Field, int)
createBigMatrix(double[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBigMatrix(BigDecimal[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBigMatrix(BigDecimal[][], boolean) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBigMatrix(String[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.BlockFieldMatrix
Create a data array in blocks layout.
createBlocksLayout(int, int) - Static method in class org.apache.commons.math.linear.BlockRealMatrix
Create a data array in blocks layout.
createChebyshevPolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Chebyshev polynomial of the first kind.
createColumnBigMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])
createColumnBigMatrix(BigDecimal[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])
createColumnBigMatrix(String[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])
createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a column FieldMatrix using the data from the input array.
createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a column RealMatrix using the data from the input array.
createComplex(double, double) - Method in class org.apache.commons.math.complex.Complex
Create a complex number given the real and imaginary parts.
createConcurrentModificationException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ConcurrentModificationException with specified formatted detail message.
createContributingStatistics() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Creates and returns a SummaryStatistics whose data will be aggregated with those of this AggregateSummaryStatistics.
createEOFException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new EOFException with specified formatted detail message.
createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a FieldMatrix with specified dimensions.
createFieldMatrix(T[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a FieldMatrix whose entries are the the values in the the input array.
createFieldVector(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a FieldVector using the data from the input array.
createHermitePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Hermite polynomial.
createIllegalArgumentException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IllegalArgumentException with specified formatted detail message.
createIllegalArgumentException(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IllegalArgumentException with specified nested Throwable root cause.
createIllegalStateException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IllegalStateException with specified formatted detail message.
createInternalError(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException
Create an RuntimeException for an internal error.
createIOException(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IOException with specified nested Throwable root cause.
createLaguerrePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Laguerre polynomial.
createLegendrePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Legendre polynomial.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createNoSuchElementException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new NoSuchElementException with specified formatted detail message.
createNullPointerException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new NullPointerException with specified formatted detail message.
createParseException(int, String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ParseException with specified formatted detail message.
createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createRealIdentityMatrix(int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createRealMatrix(int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a RealMatrix with specified dimensions.
createRealMatrix(double[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a RealMatrix whose entries are the the values in the the input array.
createRealVector(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a RealVector using the data from the input array.
createRowBigMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])
createRowBigMatrix(BigDecimal[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])
createRowBigMatrix(String[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])
createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a row FieldMatrix using the data from the input array.
createRowRealMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a row RealMatrix using the data from the input array.
createTableau(boolean) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Create the tableau by itself.
crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math.genetics.CrossoverPolicy
Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math.genetics.OnePointCrossover
Performs one point crossover.
crossover(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math.genetics.OnePointCrossover
Helper for OnePointCrossover.crossover(Chromosome, Chromosome).
CrossoverPolicy - Interface in org.apache.commons.math.genetics
Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
crossoverPolicy - Variable in class org.apache.commons.math.genetics.GeneticAlgorithm
the crossover policy used by the algorithm.
crossoverRate - Variable in class org.apache.commons.math.genetics.GeneticAlgorithm
the rate of crossover for the algorithm.
crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the cross-product of two vectors.
cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.AbstractDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(int, int) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
For this distribution, X, this method returns P(X ≤ x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in interface org.apache.commons.math.distribution.Distribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(double, double) - Method in interface org.apache.commons.math.distribution.Distribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this distribution, X, this method returns P(X ≤ x).
cumulativeProbability(int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(int, int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution
For this distribution, X, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
For this distribution, X, this method returns P(X ≤ x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
The probability distribution function P(X <= x) for a Poisson distribution.
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
The probability distribution function P(X <= x) for a Zipf distribution.
current - Variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Index of current element.
current - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Index of current element.
currentDegree - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Degree of the interpolation polynoms.
currentState - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
current state
currentTime - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
current time
CurveFitter - Class in org.apache.commons.math.optimization.fitting
Fitter for parametric univariate real functions y = f(x).
CurveFitter(DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.CurveFitter
Simple constructor.
CurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math.optimization.fitting
Vectorial function computing function theoretical values.
CurveFitter.TheoreticalValuesFunction(ParametricRealFunction) - Constructor for class org.apache.commons.math.optimization.fitting.CurveFitter.TheoreticalValuesFunction
Simple constructor.

D

d - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Interpolation weights.
d - Variable in class org.apache.commons.math.util.BigReal
Underlying BigDecimal.
d0 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Shampine (1986) Dense output, element 0.
d2 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Shampine (1986) Dense output, element 2.
d3 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Shampine (1986) Dense output, element 3.
d4 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Shampine (1986) Dense output, element 4.
d5 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Shampine (1986) Dense output, element 5.
d6 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Shampine (1986) Dense output, element 6.
data - Variable in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Entries of the matrix
data - Variable in class org.apache.commons.math.linear.Array2DRowRealMatrix
Entries of the matrix
data - Variable in class org.apache.commons.math.linear.ArrayFieldVector
Entries of the vector.
data - Variable in class org.apache.commons.math.linear.ArrayRealVector
Entries of the vector.
data - Variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Entries of the matrix
data - Variable in class org.apache.commons.math.linear.MatrixUtils.BigFractionMatrixConverter
Converted array.
data - Variable in class org.apache.commons.math.linear.MatrixUtils.FractionMatrixConverter
Converted array.
data - Variable in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Entries of the matrix
data - Variable in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Input data
decode(List<T>) - Method in interface org.apache.commons.math.genetics.PermutationChromosome
Permutes the sequence of objects of type T according to the permutation this chromosome represents.
decode(List<T>) - Method in class org.apache.commons.math.genetics.RandomKey
Permutes the sequence of objects of type T according to the permutation this chromosome represents.
decodeGeneric(List<S>, List<Double>, List<Double>) - Static method in class org.apache.commons.math.genetics.RandomKey
Decodes a permutation represented by representation and returns a (generic) list with the permuted values.
decompose() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Decompose a tridiagonal symmetric matrix.
decompose(RealMatrix, double) - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Decompose the original square matrix.
DecompositionSolver - Interface in org.apache.commons.math.linear
Interface handling decomposition algorithms that can solve A × X = B.
DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Default threshold below which diagonal elements are considered null and matrix not positive definite.
DEFAULT_ABSOLUTE_THRESHOLD - Static variable in class org.apache.commons.math.optimization.SimpleRealPointChecker
Default absolute threshold.
DEFAULT_ABSOLUTE_THRESHOLD - Static variable in class org.apache.commons.math.optimization.SimpleScalarValueChecker
Default absolute threshold.
DEFAULT_ABSOLUTE_THRESHOLD - Static variable in class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Default absolute threshold.
DEFAULT_ABSOLUTE_THRESHOLD - Static variable in class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Default absolute threshold.
DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Default value of the bandwidth parameter.
DEFAULT_CONVERGENCE - Static variable in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Default threshold for cost convergence.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math.optimization.linear.SimplexSolver
Default amount of error to accept in floating point comparisons.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math.special.Beta
Maximum allowed numerical error.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math.special.Gamma
Maximum allowed numerical error.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math.util.ContinuedFraction
Maximum allowed numerical error.
DEFAULT_EXPECTED_SIZE - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Default starting size.
DEFAULT_EXPECTED_SIZE - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Default starting size.
DEFAULT_FORMAT - Static variable in class org.apache.commons.math.geometry.Vector3D
Default format.
DEFAULT_FORMAT - Static variable in class org.apache.commons.math.linear.ArrayRealVector
Default format.
DEFAULT_IMAGINARY_CHARACTER - Static variable in class org.apache.commons.math.complex.ComplexFormat
The default imaginary character.
DEFAULT_MAX_COST_EVALUATIONS - Static variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Default maximal number of cost evaluations allowed.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Default maximal number of iterations allowed.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Default maximal number of iterations allowed.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Default maximal number of iterations allowed.
DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math.stat.ranking.NaturalRanking
default NaN strategy
DEFAULT_PREFIX - Static variable in class org.apache.commons.math.geometry.Vector3DFormat
The default prefix: "{".
DEFAULT_PREFIX - Static variable in class org.apache.commons.math.linear.RealVectorFormat
The default prefix: "{".
DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Default threshold above which off-diagonal elements are considered too different and matrix not symmetric.
DEFAULT_RELATIVE_THRESHOLD - Static variable in class org.apache.commons.math.optimization.SimpleRealPointChecker
Default relative threshold.
DEFAULT_RELATIVE_THRESHOLD - Static variable in class org.apache.commons.math.optimization.SimpleScalarValueChecker
Default relative threshold.
DEFAULT_RELATIVE_THRESHOLD - Static variable in class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Default relative threshold.
DEFAULT_RELATIVE_THRESHOLD - Static variable in class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Default relative threshold.
DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Default value of the number of robustness iterations.
DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math.geometry.Vector3DFormat
The default separator: ", ".
DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math.linear.RealVectorFormat
The default separator: ", ".
DEFAULT_STEADY_STATE_THRESHOLD - Static variable in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Default threshold for cost steady state detection.
DEFAULT_SUFFIX - Static variable in class org.apache.commons.math.geometry.Vector3DFormat
The default suffix: "}".
DEFAULT_SUFFIX - Static variable in class org.apache.commons.math.linear.RealVectorFormat
The default suffix: "}".
DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math.stat.ranking.NaturalRanking
default ties strategy
DEFAULT_TOO_SMALL - Static variable in class org.apache.commons.math.linear.LUDecompositionImpl
Default bound to determine effective singularity in LU decomposition
DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math.linear.OpenMapRealVector
Default Tolerance for having a value considered zero.
defaultAbsoluteAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
Default maximum absolute error.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Default implementation of the FieldMatrixChangingVisitor interface.
DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
Build a new instance.
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Default implementation of the FieldMatrixPreservingVisitor interface.
DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
Build a new instance.
defaultFunctionValueAccuracy - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Default maximum error of function.
defaultMaximalIterationCount - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
Default maximum number of iterations.
defaultMinimalIterationCount - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
default minimum number of iterations
DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math.linear
Default implementation of the RealMatrixChangingVisitor interface.
DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor
 
DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math.linear
Default implementation of the RealMatrixPreservingVisitor interface.
DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor
 
defaultRelativeAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
Default maximum relative error.
DefaultTransformer - Class in org.apache.commons.math.util
A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
DefaultTransformer() - Constructor for class org.apache.commons.math.util.DefaultTransformer
 
defaultTransformer - Variable in class org.apache.commons.math.util.TransformerMap
A default Number Transformer for Numbers and numeric Strings.
degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns the degree of the polynomial
degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns the degree of the polynomial.
degree - Variable in class org.apache.commons.math.optimization.fitting.PolynomialFitter
Polynomial degree.
degreesOfFreedom - Variable in class org.apache.commons.math.distribution.TDistributionImpl
The degrees of freedom
denominator - Variable in class org.apache.commons.math.fraction.BigFraction
The denominator.
denominator - Variable in class org.apache.commons.math.fraction.Fraction
The denominator.
denominatorDegreesOfFreedom - Variable in class org.apache.commons.math.distribution.FDistributionImpl
The numerator degrees of freedom
denominatorFormat - Variable in class org.apache.commons.math.fraction.AbstractFormat
The format used for the denominator.
denseOutput - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
dense outpute required.
density(Double) - Method in interface org.apache.commons.math.distribution.BetaDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Return the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Return the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Return the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Return the probability density for a particular point.
density(P) - Method in interface org.apache.commons.math.distribution.HasDensity
Compute the probability density function.
density(Double) - Method in interface org.apache.commons.math.distribution.NormalDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Return the probability density for a particular point.
derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateMatrixFunction
Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateRealFunction
Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateVectorialFunction
Returns the derivative of the function
derivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns the derivative as a UnivariateRealFunction
derivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns the derivative of the polynomial spline function as a UnivariateRealFunction
derivative() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Returns the derivative of the function
DerivativeException - Exception in org.apache.commons.math.ode
This exception is made available to users to report the error conditions that are triggered while computing the differential equations.
DerivativeException(String, Object...) - Constructor for exception org.apache.commons.math.ode.DerivativeException
Simple constructor.
DerivativeException(Throwable) - Constructor for exception org.apache.commons.math.ode.DerivativeException
Build an instance from an underlying cause.
DescriptiveStatistics - Class in org.apache.commons.math.stat.descriptive
Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
DescriptiveStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window
DescriptiveStatistics(int) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with the specified window
DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Copy constructor.
deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deserialize a RealMatrix field in a class.
deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deserialize a RealVector field in a class.
determineLMDirection(double[], double[], double[], double[]) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Solve a*x = b and d*x = 0 in the least squares sense.
determineLMDirection(double[], double[], double[], double[]) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Solve a*x = b and d*x = 0 in the least squares sense.
determineLMParameter(double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Determine the Levenberg-Marquardt parameter.
determineLMParameter(double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Determine the Levenberg-Marquardt parameter.
dev - Variable in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Deviation of most recently added value from previous first moment.
df(double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes approximate degrees of freedom for 2-sample t-test.
dfbg - Variable in class org.apache.commons.math.stat.inference.OneWayAnovaImpl.AnovaStats
Degrees of freedom in numerator (between groups).
dfwg - Variable in class org.apache.commons.math.stat.inference.OneWayAnovaImpl.AnovaStats
Degrees of freedom in denominator (within groups).
diagR - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Diagonal elements of the R matrix in the Q.R.
diagR - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Diagonal elements of the R matrix in the Q.R.
DifferentiableMultivariateRealFunction - Interface in org.apache.commons.math.analysis
Extension of MultivariateRealFunction representing a differentiable multivariate real function.
DifferentiableMultivariateRealOptimizer - Interface in org.apache.commons.math.optimization
This interface represents an optimization algorithm for scalar differentiable objective functions.
DifferentiableMultivariateVectorialFunction - Interface in org.apache.commons.math.analysis
Extension of MultivariateVectorialFunction representing a differentiable multivariate vectorial function.
DifferentiableMultivariateVectorialOptimizer - Interface in org.apache.commons.math.optimization
This interface represents an optimization algorithm for vectorial differentiable objective functions.
DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math.analysis
Extension of UnivariateMatrixFunction representing a differentiable univariate matrix function.
DifferentiableUnivariateRealFunction - Interface in org.apache.commons.math.analysis
Extension of UnivariateRealFunction representing a differentiable univariate real function.
DifferentiableUnivariateVectorialFunction - Interface in org.apache.commons.math.analysis
Extension of UnivariateVectorialFunction representing a differentiable univariate vectorial function.
differentiate(double[]) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns the coefficients of the derivative of the polynomial with the given coefficients.
digamma(double) - Static method in class org.apache.commons.math.special.Gamma
Computes the digamma function of x.
DIGEST_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Use empirical distribution
dimension - Variable in class org.apache.commons.math.ode.FirstOrderConverter
second order problem dimension.
dimension - Variable in class org.apache.commons.math.ode.MultistepIntegrator.CountingDifferentialEquations
Dimension of the problem.
dimension1 - Variable in exception org.apache.commons.math.DimensionMismatchException
First dimension.
dimension2 - Variable in exception org.apache.commons.math.DimensionMismatchException
Second dimension.
DimensionMismatchException - Exception in org.apache.commons.math
Error thrown when two dimensions differ.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math.DimensionMismatchException
Construct an exception from the mismatched dimensions
dimensionSize - Variable in class org.apache.commons.math.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
Size in all dimensions.
DirectSearchOptimizer - Class in org.apache.commons.math.optimization.direct
This class implements simplex-based direct search optimization algorithms.
DirectSearchOptimizer() - Constructor for class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Simple constructor.
dirtyState - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
indicator for dirty state.
discardArtificialVariables() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Removes the phase 1 objective function and artificial variables from this tableau.
discardExtremeElements(int, boolean) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Discards the i first or last elements of the array, depending on the value of front.
discardFrontElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Discards the i initial elements of the array.
discardMostRecentElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Discards the i last elements of the array.
DiscreteDistribution - Interface in org.apache.commons.math.distribution
Base interface for discrete distributions.
distance(Rotation, Rotation) - Static method in class org.apache.commons.math.geometry.Rotation
Compute the distance between two rotations.
distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the distance between two vectors according to the L2 norm.
distance(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L2 (Euclidean) distance between two points.
distance(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L2 (Euclidean) distance between two points.
distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the distance between two vectors according to the L1 norm.
distance1(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L1 (sum of abs) distance between two points.
distance1(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L1 (sum of abs) distance between two points.
distanceFrom(T) - Method in interface org.apache.commons.math.stat.clustering.Clusterable
Returns the distance from the given point.
distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Returns the distance from the given point.
distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the distance between two vectors according to the L norm.
distanceInf(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L (max of abs) distance between two points.
distanceInf(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L (max of abs) distance between two points.
distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the square of the distance between two vectors.
Distribution - Interface in org.apache.commons.math.distribution
Base interface for probability distributions.
distribution - Variable in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Distribution used to compute inference statistics.
distribution - Variable in class org.apache.commons.math.stat.inference.TTestImpl
Distribution used to compute inference statistics.
distribution - Variable in class org.apache.commons.math.stat.regression.SimpleRegression
the distribution used to compute inference statistics.
divide(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the quotient of this complex number and the given complex number.
divide(T) - Method in interface org.apache.commons.math.FieldElement
Compute this ÷ a.
divide(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by the passed BigInteger, ie "this * 1 / bg", returning the result in reduced form.
divide(int) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by the passed int, ie "this * 1 / i", returning the result in reduced form.
divide(long) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by the passed long, ie "this * 1 / l", returning the result in reduced form.
divide(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by another, returning the result in reduced form.
divide(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Divide the value of this fraction by another.
divide(int) - Method in class org.apache.commons.math.fraction.Fraction
Divide the fraction by an integer.
divide(BigReal) - Method in class org.apache.commons.math.util.BigReal
Compute this ÷ a.
DividedDifferenceInterpolator - Class in org.apache.commons.math.analysis.interpolation
Implements the Divided Difference Algorithm for interpolation of real univariate functions.
DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator
 
divideRow(int, double) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Subtracts a multiple of one row from another.
dMin - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Minimal value on current state of the diagonal.
dMin1 - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Minimal value on current state of the diagonal, excluding last element.
dMin2 - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Minimal value on current state of the diagonal, excluding last two elements.
dN - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Last value on current state of the diagonal.
dN1 - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Last but one value on current state of the diagonal.
dN2 - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Last but two on current state of the diagonal.
doCopy() - Method in class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.nonstiff.EulerStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.nonstiff.GillStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.nonstiff.HighamHall54StepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.nonstiff.MidpointStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.nonstiff.ThreeEighthesStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Really copy the finalized instance.
doFinalize() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Really finalize the step.
doFinalize() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Really finalize the step.
doIteration(SimplexTableau) - Method in class org.apache.commons.math.optimization.linear.SimplexSolver
Runs one iteration of the Simplex method on the given model.
doOptimize() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.general.GaussNewtonOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.linear.SimplexSolver
Perform the bulk of optimization algorithm.
doRemove(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Remove an element at specified index.
doRemove(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Remove an element at specified index.
DormandPrince54Integrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince54StepInterpolator - Class in org.apache.commons.math.ode.nonstiff
This class represents an interpolator over the last step during an ODE integration for the 5(4) Dormand-Prince integrator.
DormandPrince54StepInterpolator() - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Simple constructor.
DormandPrince54StepInterpolator(DormandPrince54StepInterpolator) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Copy constructor.
DormandPrince853Integrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
DormandPrince853StepInterpolator - Class in org.apache.commons.math.ode.nonstiff
This class represents an interpolator over the last step during an ODE integration for the 8(5,3) Dormand-Prince integrator.
DormandPrince853StepInterpolator() - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Simple constructor.
DormandPrince853StepInterpolator(DormandPrince853StepInterpolator) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Copy constructor.
dotProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the dot-product of two vectors.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the dot product.
dotProduct(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the dot product.
dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the dot product.
dotProduct(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the dot product.
dotProduct(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the dot product.
dotProduct(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the dot product.
dotProduct(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the dot product.
dotProduct(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Compute the dot product.
dotProduct(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the dot product.
dotProduct(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the dot product.
DoubleArray - Interface in org.apache.commons.math.util
Provides a standard interface for double arrays.
doubleValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.math.util.BigReal
Get the double value corresponding to the instance.
dqd(int, int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Perform a dqd step.
dqds(int, int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Perform a dqds step, using current shift increment.
DummyStepHandler - Class in org.apache.commons.math.ode.sampling
This class is a step handler that does nothing.
DummyStepHandler() - Constructor for class org.apache.commons.math.ode.sampling.DummyStepHandler
Private constructor.
DummyStepInterpolator - Class in org.apache.commons.math.ode.sampling
This class is a step interpolator that does nothing.
DummyStepInterpolator() - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Simple constructor.
DummyStepInterpolator(double[], boolean) - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Simple constructor.
DummyStepInterpolator(DummyStepInterpolator) - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Copy constructor.
DuplicateSampleAbscissaException - Exception in org.apache.commons.math
Exeption thrown when a sample contains several entries at the same abscissa.
DuplicateSampleAbscissaException(double, int, int) - Constructor for exception org.apache.commons.math.DuplicateSampleAbscissaException
Construct an exception indicating the duplicate abscissa.

E

e1 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Error array, element 1.
e1_01 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
First error weights array, element 1.
e1_06 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
First error weights array, element 6.
e1_07 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
First error weights array, element 7.
e1_08 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
First error weights array, element 8.
e1_09 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
First error weights array, element 9.
e1_10 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
First error weights array, element 10.
e1_11 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
First error weights array, element 11.
e1_12 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
First error weights array, element 12.
e2_01 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Second error weights array, element 1.
e2_06 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Second error weights array, element 6.
e2_07 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Second error weights array, element 7.
e2_08 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Second error weights array, element 8.
e2_09 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Second error weights array, element 9.
e2_10 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Second error weights array, element 10.
e2_11 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Second error weights array, element 11.
e2_12 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Second error weights array, element 12.
e3 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Error array, element 3.
e4 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Error array, element 4.
e5 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Error array, element 5.
e6 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Error array, element 6.
e7 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Error array, element 7.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element division.
ebeDivide(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element division.
ebeDivide(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element division.
ebeDivide(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element division.
ebeDivide(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element division.
ebeDivide(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element division.
ebeDivide(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element division.
ebeDivide(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element division.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element multiplication.
ebeMultiply(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element multiplication.
ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element multiplication.
ebeMultiply(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element multiplication.
ebeMultiply(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element multiplication.
eDA - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Stored data values
EigenDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the eigen decomposition of a real matrix.
eigenDecomposition - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Eigen decomposition of the tridiagonal matrix.
EigenDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the eigen decomposition of a symmetric matrix.
EigenDecompositionImpl(RealMatrix, double) - Constructor for class org.apache.commons.math.linear.EigenDecompositionImpl
Calculates the eigen decomposition of the given symmetric matrix.
EigenDecompositionImpl(double[], double[], double) - Constructor for class org.apache.commons.math.linear.EigenDecompositionImpl
Calculates the eigen decomposition of the given tridiagonal symmetric matrix.
EigenDecompositionImpl.Solver - Class in org.apache.commons.math.linear
Specialized solver.
EigenDecompositionImpl.Solver(double[], double[], ArrayRealVector[]) - Constructor for class org.apache.commons.math.linear.EigenDecompositionImpl.Solver
Build a solver from decomposed matrix.
eigenvaluesRange(int, int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Compute an interval containing all realEigenvalues of a block.
eigenvectors - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Eigenvectors.
eigenvectors - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl.Solver
Eigenvectors.
elitismRate - Variable in class org.apache.commons.math.genetics.ElitisticListPopulation
percentage of chromosomes copied to the next generation
ElitisticListPopulation - Class in org.apache.commons.math.genetics
Population of chromosomes which uses elitism (certain percentace of the best chromosomes is directly copied to the next generation).
ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math.genetics.ElitisticListPopulation
Creates a new ElitisticListPopulation instance.
ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math.genetics.ElitisticListPopulation
Creates a new ListPopulation instance and initializes its inner chromosome list.
EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
eMin - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Min value of off-diagonal elements in current segment.
EmpiricalDistribution - Interface in org.apache.commons.math.random
Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
empiricalDistribution - Variable in class org.apache.commons.math.random.ValueServer
Empirical probability distribution for use with DIGEST_MODE
EmpiricalDistributionImpl - Class in org.apache.commons.math.random
Implements EmpiricalDistribution interface.
EmpiricalDistributionImpl() - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl
Creates a new EmpiricalDistribution with the default bin count.
EmpiricalDistributionImpl(int) - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl
Creates a new EmpiricalDistribution with the specified bin count.
EmpiricalDistributionImpl.ArrayDataAdapter - Class in org.apache.commons.math.random
DataAdapter for data provided as array of doubles.
EmpiricalDistributionImpl.ArrayDataAdapter(double[]) - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl.ArrayDataAdapter
Construct an ArrayDataAdapter from a double[] array
EmpiricalDistributionImpl.DataAdapter - Class in org.apache.commons.math.random
Provides methods for computing sampleStats and beanStats abstracting the source of data.
EmpiricalDistributionImpl.DataAdapter() - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl.DataAdapter
 
EmpiricalDistributionImpl.DataAdapterFactory - Class in org.apache.commons.math.random
Factory of DataAdapter objects.
EmpiricalDistributionImpl.DataAdapterFactory() - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl.DataAdapterFactory
 
EmpiricalDistributionImpl.StreamDataAdapter - Class in org.apache.commons.math.random
DataAdapter for data provided through some input stream
EmpiricalDistributionImpl.StreamDataAdapter(BufferedReader) - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl.StreamDataAdapter
Create a StreamDataAdapter from a BufferedReader
end() - Method in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.FieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.FieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.RealMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.RealMatrixPreservingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator.Corrector
End visiting te Nordsieck vector.
endTime - Variable in class org.apache.commons.math.ode.AbstractIntegrator.EndTimeChecker
Desired end time.
entries - Variable in class org.apache.commons.math.linear.OpenMapRealMatrix
Storage for (sparse) matrix elements.
entries - Variable in class org.apache.commons.math.linear.OpenMapRealVector
Entries of the vector.
entries - Variable in class org.apache.commons.math.linear.SparseFieldMatrix
Storage for (sparse) matrix elements.
entries - Variable in class org.apache.commons.math.linear.SparseFieldVector
Entries of the vector.
epsilon - Variable in class org.apache.commons.math.linear.OpenMapRealVector
Tolerance for having a value considered zero.
epsilon - Variable in class org.apache.commons.math.optimization.linear.SimplexSolver
Amount of error to accept in floating point comparisons.
epsilon - Variable in class org.apache.commons.math.optimization.linear.SimplexTableau
Amount of error to accept in floating point comparisons.
EPSILON - Static variable in class org.apache.commons.math.util.MathUtils
Smallest positive number such that 1 - EPSILON is not numerically equal to 1.
equals(Object) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
equals(Object) - Method in class org.apache.commons.math.complex.Complex
Test for the equality of two Complex objects.
equals(Object) - Method in class org.apache.commons.math.fraction.BigFraction
Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math.fraction.Fraction
Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math.geometry.Vector3D
Test for the equality of two 3D vectors.
equals(Object) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns true iff object is a FieldMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns true iff object is a RealMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math.linear.ArrayRealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns true iff object is a BigMatrixImpl instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Implementation Note: This performs an exact comparison, and as a result it is possible for a.subtract(b} to be the zero vector, while a.equals(b) == false.
equals(Object) - Method in class org.apache.commons.math.linear.SparseFieldVector
equals(Object) - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
equals(Object) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
equals(Object) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
equals(Object) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns true iff object is an AbstractStorelessUnivariateStatistic returning the same values as this for getResult() and getN()
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
Returns true iff object is a StatisticalSummaryValues instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.Frequency
equals(Object) - Method in class org.apache.commons.math.util.BigReal
equals(Object) - Method in class org.apache.commons.math.util.DefaultTransformer
equals(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are NaN or neither is NaN and they are equal
equals(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are equal or within the range of allowed error (inclusive).
equals(double, double, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are equal or within the range of allowed error (inclusive).
equals(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are null or have same dimensions and all their elements are equals
equals(Object) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array.
equals(Object) - Method in class org.apache.commons.math.util.TransformerMap
equations - Variable in class org.apache.commons.math.ode.AbstractIntegrator
Differential equations to integrate.
equations - Variable in class org.apache.commons.math.ode.FirstOrderConverter
Underlying second order equations set.
Erf - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the error functions.
Erf() - Constructor for class org.apache.commons.math.special.Erf
Default constructor.
erf(double) - Static method in class org.apache.commons.math.special.Erf
Returns the error function erf(x).
errfac - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Error coefficients for the interpolation.
estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Solve an estimation problem.
estimate - Variable in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Current value of the parameter
estimate(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Solve an estimation problem.
estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Solve an estimation problem using a least squares criterion.
estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Solve an estimation problem using the Levenberg-Marquardt algorithm.
EstimatedParameter - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
EstimatedParameter(String, double) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Simple constructor.
EstimatedParameter(String, double, boolean) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Simple constructor.
EstimatedParameter(EstimatedParameter) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Copy constructor.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Compute the error ratio.
estimateError(double[]) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Estimate interpolation error.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Compute the error ratio.
estimateRegressandVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressandVariance() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressionParameters() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParameters() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionParametersVariance() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateResiduals() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
estimateResiduals() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
EstimationException - Exception in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
EstimationException(String, Object...) - Constructor for exception org.apache.commons.math.estimation.EstimationException
Deprecated. Simple constructor.
EstimationProblem - Interface in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
Estimator - Interface in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
EuclideanIntegerPoint - Class in org.apache.commons.math.stat.clustering
A simple implementation of Clusterable for points with integer coordinates.
EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Build an instance wrapping an integer array.
EulerIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.EulerIntegrator
Simple constructor.
EulerStepInterpolator - Class in org.apache.commons.math.ode.nonstiff
This class implements a linear interpolator for step.
EulerStepInterpolator() - Constructor for class org.apache.commons.math.ode.nonstiff.EulerStepInterpolator
Simple constructor.
EulerStepInterpolator(EulerStepInterpolator) - Constructor for class org.apache.commons.math.ode.nonstiff.EulerStepInterpolator
Copy constructor.
evaluate(double[], double) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Evaluate the Lagrange polynomial using Neville's Algorithm.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Evaluate the Newton polynomial using nested multiplication.
evaluate(double[]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Evaluate the objective function on one point.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the geometric mean of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Returns the kurtosis of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Returns the Skewness of the entries in the specifed portion of the input array.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the input array, or Double.NaN if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the variance of the entries in the input array, or Double.NaN if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the variance of the entries in the input array, using the precomputed mean value.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns an estimate of the quantileth percentile of the designated values in the values array.
evaluate(double[], int, int, double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
The sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[]) - Method in interface org.apache.commons.math.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, int) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double, int) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluateNewSimplex(RealPointValuePair[], double, Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.MultiDirectional
Compute and evaluate a new simplex.
evaluateSimplex(Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Evaluate all the non-evaluated points of the simplex.
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Evaluate the impact of the proposed step on all managed event handlers.
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math.ode.events.EventState
Evaluate the impact of the proposed step on the event handler.
evaluations - Variable in class org.apache.commons.math.ode.AbstractIntegrator
Number of evaluations already performed.
evaluations - Variable in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Number of evaluations already performed.
evaluations - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Number of evaluations already performed.
evaluations - Variable in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Number of evaluations already performed.
even - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Parity of the permutation associated with the LU decomposition
even - Variable in class org.apache.commons.math.linear.LUDecompositionImpl
Parity of the permutation associated with the LU decomposition
EventException - Exception in org.apache.commons.math.ode.events
This exception is made available to users to report the error conditions that are triggered by EventHandler
EventException(String, Object...) - Constructor for exception org.apache.commons.math.ode.events.EventException
Simple constructor.
EventException(Throwable) - Constructor for exception org.apache.commons.math.ode.events.EventException
Create an exception with a given root cause.
EventHandler - Interface in org.apache.commons.math.ode.events
This interface represents a handler for discrete events triggered during ODE integration.
eventOccurred(double, double[], boolean) - Method in class org.apache.commons.math.ode.AbstractIntegrator.EndTimeChecker
Handle an event and choose what to do next.
eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math.ode.events.EventHandler
Handle an event and choose what to do next.
eventsHandlersManager - Variable in class org.apache.commons.math.ode.AbstractIntegrator
Events handlers manager.
EventState - Class in org.apache.commons.math.ode.events
This class handles the state for one event handler during integration steps.
EventState(EventHandler, double, double, int) - Constructor for class org.apache.commons.math.ode.events.EventState
Simple constructor.
evolve(Population, StoppingCondition) - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Evolve the given population.
exp() - Method in class org.apache.commons.math.complex.Complex
Compute the exponential function of this complex number.
exp - Variable in class org.apache.commons.math.ode.MultistepIntegrator
Stepsize control exponent.
exp - Variable in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Stepsize control exponent.
expand() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Expands the internal storage array using the expansion factor.
expandTo(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Expands the internal storage array to the specified size.
expansionFactor - Variable in class org.apache.commons.math.util.ResizableDoubleArray
The expansion factor of the array.
expansionMode - Variable in class org.apache.commons.math.util.ResizableDoubleArray
Determines whether array expansion by expansionFactor is additive or multiplicative.
exponent - Variable in class org.apache.commons.math.distribution.ZipfDistributionImpl
Exponent parameter of the distribution.
EXPONENTIAL_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Exponential random deviates with mean = mu
ExponentialDistribution - Interface in org.apache.commons.math.distribution
The Exponential Distribution.
ExponentialDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of ExponentialDistribution.
ExponentialDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.ExponentialDistributionImpl
Create a exponential distribution with the given mean.
extractField(T[][]) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix
Get the elements type from an array.
extractField(T[]) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix
Get the elements type from an array.
extrapolate(int, int, double[][], double[]) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Extrapolate a vector.

F

f - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Deprecated. as of 2.0 the integrand function is passed as an argument to the UnivariateRealIntegrator.integrate(UnivariateRealFunction, double, double)method.
f - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. as of 2.0 the function to solve is passed as an argument to the UnivariateRealSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
f - Variable in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Objective function.
f - Variable in class org.apache.commons.math.optimization.fitting.CurveFitter.TheoreticalValuesFunction
Function to fit.
f - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Objective function.
f - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Objective function.
f - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Linear objective function.
f - Variable in class org.apache.commons.math.optimization.linear.SimplexTableau
Linear objective function.
F - Variable in class org.apache.commons.math.stat.inference.OneWayAnovaImpl.AnovaStats
Statistic.
factorial(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns n!.
factorialDouble(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns n!.
factorialLog(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the natural logarithm of n!.
factorials - Static variable in class org.apache.commons.math.util.MathUtils
All long-representable factorials
FACTORY - Static variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils.LazyHolder
Cached solver factory
FastCosineTransformer - Class in org.apache.commons.math.transform
Implements the Fast Cosine Transform for transformation of one-dimensional data sets.
FastCosineTransformer() - Constructor for class org.apache.commons.math.transform.FastCosineTransformer
Construct a default transformer.
FastFourierTransformer - Class in org.apache.commons.math.transform
Implements the Fast Fourier Transform for transformation of one-dimensional data sets.
FastFourierTransformer() - Constructor for class org.apache.commons.math.transform.FastFourierTransformer
Construct a default transformer.
FastFourierTransformer.MultiDimensionalComplexMatrix - Class in org.apache.commons.math.transform
Complex matrix implementation.
FastFourierTransformer.MultiDimensionalComplexMatrix(Object) - Constructor for class org.apache.commons.math.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
Simple constructor.
FastFourierTransformer.RootsOfUnity - Class in org.apache.commons.math.transform
Computes the nth roots of unity.
FastFourierTransformer.RootsOfUnity() - Constructor for class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Build an engine for computing then th roots of unity
FastHadamardTransformer - Class in org.apache.commons.math.transform
Implements the Fast Hadamard Transform (FHT).
FastHadamardTransformer() - Constructor for class org.apache.commons.math.transform.FastHadamardTransformer
 
FastSineTransformer - Class in org.apache.commons.math.transform
Implements the Fast Sine Transform for transformation of one-dimensional data sets.
FastSineTransformer() - Constructor for class org.apache.commons.math.transform.FastSineTransformer
Construct a default transformer.
fct(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Perform the FCT algorithm (including inverse).
FDistribution - Interface in org.apache.commons.math.distribution
F-Distribution.
FDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of FDistribution.
FDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.FDistributionImpl
Create a F distribution using the given degrees of freedom.
fft(double[], boolean) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Perform the base-4 Cooley-Tukey FFT algorithm (including inverse).
fft(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Perform the base-4 Cooley-Tukey FFT algorithm (including inverse).
fht(double[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
fht(int[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
Field<T> - Interface in org.apache.commons.math
Interface representing a field.
field - Variable in class org.apache.commons.math.linear.AbstractFieldMatrix
Field to which the elements belong.
field - Variable in class org.apache.commons.math.linear.ArrayFieldVector
Field to which the elements belong.
field - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Field to which the elements belong.
field - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Field to which the elements belong.
field - Variable in class org.apache.commons.math.linear.SparseFieldVector
Field to which the elements belong.
field - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Field to which the elements belong.
FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
Interface handling decomposition algorithms that can solve A × X = B.
FieldElement<T> - Interface in org.apache.commons.math
Interface representing field elements.
FieldLUDecomposition<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the LU-decomposition of a real matrix.
FieldLUDecompositionImpl<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Calculates the LUP-decomposition of a square matrix.
FieldLUDecompositionImpl(FieldMatrix<T>) - Constructor for class org.apache.commons.math.linear.FieldLUDecompositionImpl
Calculates the LU-decomposition of the given matrix.
FieldLUDecompositionImpl.Solver<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Specialized solver.
FieldLUDecompositionImpl.Solver(Field<T>, T[][], int[], boolean) - Constructor for class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Build a solver from decomposed matrix.
FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math.linear
Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math.linear
Interface defining a visitor for matrix entries.
FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
Interface defining a field-valued vector with basic algebraic operations.
filePointer - Variable in class org.apache.commons.math.random.ValueServer
file pointer for REPLAY_MODE
fill(double[]) - Method in class org.apache.commons.math.random.ValueServer
Fills the input array with values generated using getNext() repeatedly.
fill(int) - Method in class org.apache.commons.math.random.ValueServer
Returns an array of length length with values generated using getNext() repeatedly.
fill(double[], List<Integer>, double) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Setsdata[i] = value for each i in tiesTrace.
fillBinStats(Object) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Fills binStats array (second pass through data file).
filterStep(double, boolean, boolean) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Filter the integration step.
finalized - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
indicate if the step has been finalized or not.
finalizeStep() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Finalize the step.
finalTime - Variable in class org.apache.commons.math.ode.ContinuousOutputModel
Final integration time.
findBin(double, double, double) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns the index of the bin to which the given value belongs
findEigenvalues() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Find the realEigenvalues.
findEigenvector(double, double[], double[]) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Find an eigenvector corresponding to an eigenvalue, using bidiagonals.
findEigenVectors() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Find eigenvectors.
findInsertionIndex(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Find the index at which a key should be inserted
findInsertionIndex(int[], byte[], int, int) - Static method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Find the index at which a key should be inserted
findInsertionIndex(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Find the index at which a key should be inserted
findInsertionIndex(int[], byte[], int, int) - Static method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Find the index at which a key should be inserted
findSameChromosome(Population) - Method in class org.apache.commons.math.genetics.Chromosome
Searches the population for another chromosome with the same representation.
findUpperBound(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Find the upper bound b ensuring bracketing of a root between a and b
first - Variable in class org.apache.commons.math.genetics.ChromosomePair
the first chromosome in the pair.
first - Variable in class org.apache.commons.math.ode.events.CombinedEventsManager
First active event.
FirstMoment - Class in org.apache.commons.math.stat.descriptive.moment
Computes the first moment (arithmetic mean).
FirstMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Create a FirstMoment instance
FirstMoment(FirstMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Copy constructor, creates a new FirstMoment identical to the original
FirstOrderConverter - Class in org.apache.commons.math.ode
This class converts second order differential equations to first order ones.
FirstOrderConverter(SecondOrderDifferentialEquations) - Constructor for class org.apache.commons.math.ode.FirstOrderConverter
Simple constructor.
FirstOrderDifferentialEquations - Interface in org.apache.commons.math.ode
This interface represents a first order differential equations set.
FirstOrderIntegrator - Interface in org.apache.commons.math.ode
This interface represents a first order integrator for differential equations.
fit(ParametricRealFunction, double[]) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Fit a curve.
fit() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFitter
Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter
Get the polynomial fitting the weighted (x, y) points.
fitness - Variable in class org.apache.commons.math.genetics.Chromosome
Cached value of the fitness of this chromosome.
Fitness - Interface in org.apache.commons.math.genetics
Fitness of a chromosome.
fitness() - Method in interface org.apache.commons.math.genetics.Fitness
Compute the fitness.
fitter - Variable in class org.apache.commons.math.optimization.fitting.HarmonicFitter
Fitter for the coefficients.
fitter - Variable in class org.apache.commons.math.optimization.fitting.PolynomialFitter
Fitter for the coefficients.
FixedGenerationCount - Class in org.apache.commons.math.genetics
Stops after a fixed number of generations.
FixedGenerationCount(int) - Constructor for class org.apache.commons.math.genetics.FixedGenerationCount
Create a new FixedGenerationCount instance.
FixedStepHandler - Interface in org.apache.commons.math.ode.sampling
This interface represents a handler that should be called after each successful fixed step.
flipIfWarranted(int, int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Flip qd array if warranted.
floatValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a float.
floatValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a float.
format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.complex.ComplexFormat
Formats a Complex object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.complex.ComplexFormat
Formats a object to produce a string.
format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.AbstractFormat
Formats a double value as a fraction and appends the result to a StringBuffer.
format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.AbstractFormat
Formats a long value as a fraction and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Formats a BigFraction object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Formats an object and appends the result to a StringBuffer.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.FractionFormat
Formats a Fraction object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.FractionFormat
Formats an object and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat
Formats a BigFraction object to produce a string.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.ProperFractionFormat
Formats a Fraction object to produce a string.
format - Variable in class org.apache.commons.math.geometry.Vector3DFormat
The format used for components.
format(Vector3D, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Formats a Vector3D object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Formats a object to produce a string.
format - Variable in class org.apache.commons.math.linear.RealVectorFormat
The format used for components.
format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.linear.RealVectorFormat
Formats a RealVector object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.linear.RealVectorFormat
Formats a object to produce a string.
formatBigFraction(BigFraction) - Static method in class org.apache.commons.math.fraction.BigFractionFormat
This static method calls formatBigFraction() on a default instance of BigFractionFormat.
formatComplex(Complex) - Static method in class org.apache.commons.math.complex.ComplexFormat
This static method calls Format.format(Object) on a default instance of ComplexFormat.
formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.util.CompositeFormat
Formats a double value to produce a string.
formatFraction(Fraction) - Static method in class org.apache.commons.math.fraction.FractionFormat
This static method calls formatFraction() on a default instance of FractionFormat.
formatRealVector(RealVector) - Static method in class org.apache.commons.math.linear.RealVectorFormat
This static method calls Format.format(Object) on a default instance of RealVectorFormat.
formatVector3D(Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3DFormat
This static method calls Format.format(Object) on a default instance of Vector3DFormat.
forward - Variable in class org.apache.commons.math.ode.ContinuousOutputModel
Integration direction indicator.
forward - Variable in class org.apache.commons.math.ode.events.EventState
Integration direction.
forward - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
integration direction.
forward - Variable in class org.apache.commons.math.ode.sampling.StepNormalizer
Integration direction indicator.
FOUR_FIFTHS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "4/5".
FOUR_FIFTHS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "4/5".
FourthMoment - Class in org.apache.commons.math.stat.descriptive.moment
Computes a statistic related to the Fourth Central Moment.
FourthMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Create a FourthMoment instance
FourthMoment(FourthMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Copy constructor, creates a new FourthMoment identical to the original
Fraction - Class in org.apache.commons.math.fraction
Representation of a rational number.
Fraction(double) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the double value.
Fraction(double, double, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the double value and maximum error allowed.
Fraction(double, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the double value and maximum denominator.
Fraction(double, double, int, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the double value and either the maximum error allowed or the maximum number of denominator digits.
Fraction(int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction from an int.
Fraction(int, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the numerator and denominator.
FractionConversionException - Exception in org.apache.commons.math.fraction
Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.
FractionConversionException(double, int) - Constructor for exception org.apache.commons.math.fraction.FractionConversionException
Constructs an exception with specified formatted detail message.
FractionConversionException(double, long, long) - Constructor for exception org.apache.commons.math.fraction.FractionConversionException
Constructs an exception with specified formatted detail message.
FractionField - Class in org.apache.commons.math.fraction
Representation of the fractional numbers field.
FractionField() - Constructor for class org.apache.commons.math.fraction.FractionField
Private constructor for the singleton.
FractionField.LazyHolder - Class in org.apache.commons.math.fraction
Holder for the instance.
FractionField.LazyHolder() - Constructor for class org.apache.commons.math.fraction.FractionField.LazyHolder
 
FractionFormat - Class in org.apache.commons.math.fraction
Formats a Fraction number in proper format or improper format.
FractionFormat() - Constructor for class org.apache.commons.math.fraction.FractionFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
FractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.FractionFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
FractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.FractionFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
fractionMatrixToRealMatrix(FieldMatrix<Fraction>) - Static method in class org.apache.commons.math.linear.MatrixUtils
Convert a FieldMatrix/Fraction matrix to a RealMatrix.
FREE - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Status indicator for free table entries.
FREE - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Status indicator for free table entries.
freqTable - Variable in class org.apache.commons.math.stat.Frequency
underlying collection
Frequency - Class in org.apache.commons.math.stat
Maintains a frequency distribution.
Frequency() - Constructor for class org.apache.commons.math.stat.Frequency
Default constructor.
Frequency(Comparator<?>) - Constructor for class org.apache.commons.math.stat.Frequency
Constructor allowing values Comparator to be specified.
Frequency.NaturalComparator<T extends java.lang.Comparable<T>> - Class in org.apache.commons.math.stat
A Comparator that compares comparable objects using the natural order.
Frequency.NaturalComparator() - Constructor for class org.apache.commons.math.stat.Frequency.NaturalComparator
 
fsal - Variable in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Indicator for fsal methods.
fst(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer
Perform the FST algorithm (including inverse).
FULL - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Status indicator for full table entries.
FULL - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Status indicator for full table entries.
function - Variable in class org.apache.commons.math.optimization.LeastSquaresConverter
Underlying vectorial function.
FunctionEvaluationException - Exception in org.apache.commons.math
Exception thrown when an error occurs evaluating a function.
FunctionEvaluationException(double) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Construct an exception indicating the argument value that caused the function evaluation to fail.
FunctionEvaluationException(double[]) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Construct an exception indicating the argument value that caused the function evaluation to fail.
FunctionEvaluationException(double, String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message.
FunctionEvaluationException(double[], String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message.
FunctionEvaluationException(Throwable, double) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified root cause.
FunctionEvaluationException(Throwable, double[]) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified root cause.
FunctionEvaluationException(Throwable, double, String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message and root cause.
FunctionEvaluationException(Throwable, double[], String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message and root cause.
functionValue - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Value of the function at the last computed result.
functionValue - Variable in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Value of the function at the last computed result.
functionValueAccuracy - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Maximum error of function.

G

g - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Shift ratio with respect to dMin used when tType == 6.
g(double, double[]) - Method in class org.apache.commons.math.ode.AbstractIntegrator.EndTimeChecker
Compute the value of the switching function.
g(double, double[]) - Method in interface org.apache.commons.math.ode.events.EventHandler
Compute the value of the switching function.
g0 - Variable in class org.apache.commons.math.ode.events.EventState
Value of the events handler at the beginning of the step.
g0Positive - Variable in class org.apache.commons.math.ode.events.EventState
Simulated sign of g0 (we cheat when crossing events).
gamma - Variable in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Internal Gamma distribution.
gamma - Variable in class org.apache.commons.math.optimization.direct.MultiDirectional
Contraction coefficient.
gamma - Variable in class org.apache.commons.math.optimization.direct.NelderMead
Contraction coefficient.
Gamma - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the Gamma family of functions.
Gamma() - Constructor for class org.apache.commons.math.special.Gamma
Default constructor.
GAMMA - Static variable in class org.apache.commons.math.special.Gamma
Euler-Mascheroni constant
GammaDistribution - Interface in org.apache.commons.math.distribution
The Gamma Distribution.
GammaDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of GammaDistribution.
GammaDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.GammaDistributionImpl
Create a new gamma distribution with the given alpha and beta values.
GAUSSIAN_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Gaussian random deviates with mean = mu, std dev = sigma
GaussianRandomGenerator - Class in org.apache.commons.math.random
This class is a gaussian normalized random generator for scalars.
GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math.random.GaussianRandomGenerator
Create a new generator.
GaussNewtonEstimator - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
GaussNewtonEstimator() - Constructor for class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Simple constructor with default settings.
GaussNewtonEstimator(int, double, double) - Constructor for class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Simple constructor.
GaussNewtonOptimizer - Class in org.apache.commons.math.optimization.general
Gauss-Newton least-squares solver.
GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math.optimization.general.GaussNewtonOptimizer
Simple constructor with default settings.
gcd(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
generalizedHarmonic(int, double) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Calculates the Nth generalized harmonic number.
generate(int) - Method in interface org.apache.commons.math.analysis.polynomials.PolynomialsUtils.RecurrenceCoefficientsGenerator
Generate recurrence coefficients.
generator - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Random generator for multi-start.
generator - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Random generator for multi-start.
generator - Variable in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Random generator for multi-start.
generator - Variable in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Random generator for multi-start.
generator - Variable in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Underlying generator.
generator - Variable in class org.apache.commons.math.random.GaussianRandomGenerator
Underlying generator.
generator - Variable in class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
Underlying scalar generator.
generator - Variable in class org.apache.commons.math.random.UniformRandomGenerator
Underlying generator.
GeneticAlgorithm - Class in org.apache.commons.math.genetics
Implementation of a genetic algorithm.
GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math.genetics.GeneticAlgorithm
 
geoMean - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
geoMean of values that have been added
geoMeanImpl - Variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Geometric mean statistic implementation - can be reset by setter.
geoMeanImpl - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Geometric mean statistic implementation - can be reset by setter.
GeometricMean - Class in org.apache.commons.math.stat.descriptive.moment
Returns the geometric mean of the available values.
GeometricMean() - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Create a GeometricMean instance
GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Copy constructor, creates a new GeometricMean identical to the original
GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Create a GeometricMean instance using the given SumOfLogs instance
geometricMean - Static variable in class org.apache.commons.math.stat.StatUtils
geometric mean
geometricMean(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the geometric mean of the entries in the input array, or Double.NaN if the array is empty.
geometricMean(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the geometric mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
geometricMeanImpl - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Geometric mean statistic implementation - can be reset by setter.
get(int...) - Method in class org.apache.commons.math.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
Get a matrix element.
get(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Get the stored value associated with the given key
get(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Get the stored value associated with the given key
getA(int, double) - Method in class org.apache.commons.math.util.ContinuedFraction
Access the n-th a coefficient of the continued fraction.
getA1() - Method in class org.apache.commons.math.geometry.RotationOrder
Get the axis of the first rotation.
getA2() - Method in class org.apache.commons.math.geometry.RotationOrder
Get the axis of the second rotation.
getA3() - Method in class org.apache.commons.math.geometry.RotationOrder
Get the axis of the second rotation.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the actual absolute accuracy.
getAdapter(Object) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl.DataAdapterFactory
Creates a DataAdapter from a data object
getAllParameters() - Method in interface org.apache.commons.math.estimation.EstimationProblem
Deprecated. Get all the parameters of the problem.
getAllParameters() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Get all the parameters of the problem.
getAlpha() - Method in interface org.apache.commons.math.distribution.BetaDistribution
Access the shape parameter, alpha
getAlpha() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the shape parameter, alpha
getAlpha() - Method in interface org.apache.commons.math.distribution.GammaDistribution
Access the shape parameter, alpha
getAlpha() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the shape parameter, alpha
getAlpha() - Method in class org.apache.commons.math.geometry.Vector3D
Get the azimuth of the vector.
getAmplitude() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Get the amplitude a.
getAngle() - Method in class org.apache.commons.math.geometry.Rotation
Get the angle of the rotation.
getAngles(RotationOrder) - Method in class org.apache.commons.math.geometry.Rotation
Get the Cardan or Euler angles corresponding to the instance.
getArgument() - Method in class org.apache.commons.math.complex.Complex
Compute the argument of this complex number.
getArgument() - Method in exception org.apache.commons.math.FunctionEvaluationException
Returns the function argument that caused this exception.
getArguments() - Method in exception org.apache.commons.math.MathException
Gets the arguments used to build the message of this throwable.
getArguments() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the arguments used to build the message of this throwable.
getArity() - Method in class org.apache.commons.math.genetics.TournamentSelection
Gets the arity (number of chromosomes drawn to the tournament).
getArray() - Method in class org.apache.commons.math.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
Get the underlying storage array
getArtificialVariableOffset() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the offset of the first artificial variable.
getAvailableLocales() - Static method in class org.apache.commons.math.complex.ComplexFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.fraction.FractionFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.geometry.Vector3DFormat
Get the set of locales for which 3D vectors formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.linear.RealVectorFormat
Get the set of locales for which real vectors formats are available.
getAxis() - Method in class org.apache.commons.math.geometry.Rotation
Get the normalized axis of the rotation.
getB() - Method in class org.apache.commons.math.linear.BiDiagonalTransformer
Returns the bi-diagonal matrix B of the transform.
getB(int, double) - Method in class org.apache.commons.math.util.ContinuedFraction
Access the n-th b coefficient of the continued fraction.
getBasicRow(int) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Checks whether the given column is basic.
getBeta() - Method in interface org.apache.commons.math.distribution.BetaDistribution
Access the shape parameter, beta
getBeta() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the shape parameter, beta
getBeta() - Method in interface org.apache.commons.math.distribution.GammaDistribution
Access the scale parameter, beta
getBeta() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the scale parameter, beta
getBinCount() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns the number of bins.
getBinCount() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns the number of bins.
getBinStats() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns a list of SummaryStatistics containing statistics describing the values in each of the bins.
getBinStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns a List of SummaryStatistics instances containing statistics describing the values in each of the bins.
getCenter() - Method in class org.apache.commons.math.stat.clustering.Cluster
Get the point chosen to be the center of this cluster.
getCenters() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of the centers array.
getChiSquare(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the Chi-Square value.
getChiSquare() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the Chi-Square value.
getChiSquareTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Return a (singleton) ChiSquareTest instance.
getChromosomes() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the list of chromosomes.
getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
Get the coefficients of the constraint (left hand side).
getCoefficients() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Get the coefficients of the linear equation being optimized.
getColumn(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in column number col as an array.
getColumnAsDoubleArray(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in column number col as an array of double values.
getColumnAsDoubleArray(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in column number col as an array of double values.
getColumnDimension() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in interface org.apache.commons.math.linear.AnyMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns the number of columns in the matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in column number column as a column matrix.
getColumnVector(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in column number column as a vector.
getConditionNumber() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Return the condition number of the matrix.
getConditionNumber() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Return the condition number of the matrix.
getConstantTerm() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Get the constant of the linear equation being optimized.
getConstraintTypeCounts(Relationship) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get a count of constraints corresponding to a specified relationship.
getContents() - Method in class org.apache.commons.math.MessagesResources_fr
Get the non-translated/translated messages arrays from this resource bundle.
getContractionCriteria() - Method in class org.apache.commons.math.util.ResizableDoubleArray
The contraction criteria defines when the internal array will contract to store only the number of elements in the element array.
getConvergence() - Method in class org.apache.commons.math.ode.events.EventState
Get the convergence threshold for event localization.
getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the convergence checker.
getConvertedMatrix() - Method in class org.apache.commons.math.linear.MatrixUtils.BigFractionMatrixConverter
Get the converted matrix.
getConvertedMatrix() - Method in class org.apache.commons.math.linear.MatrixUtils.FractionMatrixConverter
Get the converted matrix.
getCorrelationMatrix() - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Returns the correlation matrix
getCorrelationMatrix() - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Calculate the Spearman Rank Correlation Matrix.
getCorrelationPValues() - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.
getCorrelationStandardErrors() - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Returns a matrix of standard errors associated with the estimates in the correlation matrix.
getCorrelationStandardErrors().getEntry(i,j) is the standard error associated with getCorrelationMatrix.getEntry(i,j)
getCostEvaluations() - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the number of cost evaluations.
getCount(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getCount(Comparable) as of 2.0
getCount(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCovariance(double) - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the n × n covariance matrix.
getCovariance(double) - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the n × n covariance matrix.
getCovariance() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the covariance matrix of the values that have been added.
getCovariance() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns the covariance of the available values.
getCovariance() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the covariance matrix of the values that have been added.
getCovarianceMatrix() - Method in class org.apache.commons.math.stat.correlation.Covariance
Returns the covariance matrix
getCovariances(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the covariance matrix of unbound estimated parameters.
getCovariances(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Get the covariance matrix of estimated parameters.
getCovariances() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the covariance matrix of optimized parameters.
getCrossoverPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the crossover policy.
getCrossoverRate() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the crossover rate.
getCumFreq(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getCumFreq(Comparable) as of 2.0
getCumFreq(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumPct(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getCumPct(Comparable) as of 2.0
getCumPct(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCurrentSignedStepsize() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the current signed value of the integration stepsize.
getCurrentStepStart() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the current value of the step start time ti.
getCurrentTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the current grid point time.
getCurrentTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the current grid point time.
getD() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the block diagonal matrix D of the decomposition.
getD() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the block diagonal matrix D of the decomposition.
getData() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns vector entries as a double array.
getData() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math.linear.FieldVector
Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns vector entries as a double array.
getData() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math.linear.RealVector
Returns vector entries as a double array.
getData() - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the tableau data.
getDataAsDoubleArray() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns matrix entries as a two-dimensional array.
getDataAsDoubleArray() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns matrix entries as a two-dimensional array.
getDataRef() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns a reference to the underlying data array.
getDefaultNumberFormat() - Static method in class org.apache.commons.math.fraction.AbstractFormat
Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math.fraction.AbstractFormat
Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.math.fraction.FractionFormat
Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.math.util.CompositeFormat
Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math.util.CompositeFormat
Create a default number format.
getDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Access the degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the degrees of freedom.
getDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.TDistribution
Access the degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the degrees of freedom.
getDelta() - Method in class org.apache.commons.math.geometry.Vector3D
Get the elevation of the vector.
getDenominator() - Method in class org.apache.commons.math.fraction.BigFraction
Access the denominator as a BigInteger.
getDenominator() - Method in class org.apache.commons.math.fraction.Fraction
Access the denominator.
getDenominatorAsInt() - Method in class org.apache.commons.math.fraction.BigFraction
Access the denominator as a int.
getDenominatorAsLong() - Method in class org.apache.commons.math.fraction.BigFraction
Access the denominator as a long.
getDenominatorDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.FDistribution
Access the denominator degrees of freedom.
getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the denominator degrees of freedom.
getDenominatorFormat() - Method in class org.apache.commons.math.fraction.AbstractFormat
Access the denominator format.
getDeterminant() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
getDeterminant() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the determinant of this matrix.
getDeterminant() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the determinant of this matrix.
getDeterminant() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.LUDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by new LUDecompositionImpl(m).getDeterminant()
getDimension() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math.linear.FieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math.linear.RealVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.ode.FirstOrderConverter
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math.ode.FirstOrderDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math.ode.MultistepIntegrator.CountingDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math.ode.SecondOrderDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the dimension of the data
getDimension() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the dimension of the data
getDimension1() - Method in exception org.apache.commons.math.DimensionMismatchException
Get the first dimension
getDimension2() - Method in exception org.apache.commons.math.DimensionMismatchException
Get the second dimension
getDimensionSizes() - Method in class org.apache.commons.math.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
Get the size in all dimensions.
getDistance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getDistance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getDistance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getDistance(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to compute distance.
getDistance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getDistance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getDistance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getDistance(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getDomain(int, int, int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Return the domain for the given hypergeometric distribution parameters.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDuplicateAbscissa() - Method in exception org.apache.commons.math.DuplicateSampleAbscissaException
Get the duplicate abscissa.
getEigenvector(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns a copy of the ith eigenvector of the original matrix.
getEigenvector(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns a copy of the ith eigenvector of the original matrix.
getElement(int) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in interface org.apache.commons.math.util.DoubleArray
Returns the element at the specified index.
getElement(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the element at the specified index
getElements() - Method in interface org.apache.commons.math.util.DoubleArray
Returns a double[] array containing the elements of this DoubleArray.
getElements() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns a double array containing the elements of this ResizableArray.
getElitismRate() - Method in class org.apache.commons.math.genetics.ElitisticListPopulation
Access the elitism rate.
getEmpiricalDistribution() - Method in class org.apache.commons.math.random.ValueServer
Getter for property empiricalDistribution.
getEntries() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Get the entries of this instance.
getEntries() - Method in class org.apache.commons.math.linear.SparseFieldVector
Get the entries of this instance.
getEntry(int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns the entry in the specified index.
getEntry(int) - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the entry in the specified index.
getEntry(int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in interface org.apache.commons.math.linear.FieldVector
Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns the entry in the specified index.
getEntry(int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the entry in the specified row and column.
getEntry(int) - Method in interface org.apache.commons.math.linear.RealVector
Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get an entry of the tableau.
getEntryAsDouble(int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entry in the specified row and column as a double.
getEntryAsDouble(int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entry in the specified row and column as a double.
getEpsilon() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Get the tolerance for having a value considered zero.
getEstimate() - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Get the current estimate of the parameter
getEvaluations() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the number of evaluations of the objective function.
getEventHandler() - Method in class org.apache.commons.math.ode.events.EventState
Get the underlying event handler.
getEventHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get all the event handlers that have been added to the integrator.
getEventsHandlers() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Get all the events handlers that have been added to the manager.
getEventsStates() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Get all the events state wrapping the handlers that have been added to the manager.
getEventTime() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Get the occurrence time of the first event triggered in the last evaluated step.
getEventTime() - Method in class org.apache.commons.math.ode.events.EventState
Get the occurrence time of the event triggered in the current step.
getExpansionFactor() - Method in class org.apache.commons.math.util.ResizableDoubleArray
The expansion factor controls the size of a new array when an array needs to be expanded.
getExpansionMode() - Method in class org.apache.commons.math.util.ResizableDoubleArray
The expansionMode determines whether the internal storage array grows additively (ADDITIVE_MODE) or multiplicatively (MULTIPLICATIVE_MODE) when it is expanded.
getExponent() - Method in interface org.apache.commons.math.distribution.ZipfDistribution
Get the exponent characterising the distribution.
getExponent() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Get the exponent characterising the distribution.
getField() - Method in class org.apache.commons.math.complex.Complex
Get the Field to which the instance belongs.
getField() - Method in interface org.apache.commons.math.FieldElement
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.fraction.BigFraction
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.fraction.Fraction
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Get the type of field elements of the matrix.
getField() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Get the type of field elements of the vector.
getField() - Method in interface org.apache.commons.math.linear.FieldMatrix
Get the type of field elements of the matrix.
getField() - Method in interface org.apache.commons.math.linear.FieldVector
Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math.linear.SparseFieldVector
Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math.util.BigReal
Get the Field to which the instance belongs.
getFinalTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the final integration time.
getFirst() - Method in class org.apache.commons.math.genetics.ChromosomePair
Access the first chromosome.
getFitness() - Method in class org.apache.commons.math.genetics.Chromosome
Access the fitness of this chromosome.
getFittestChromosome() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the fittest chromosome in this population.
getFittestChromosome() - Method in interface org.apache.commons.math.genetics.Population
Access the fittest chromosome in this population.
getFormat() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the components format.
getFormat() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the components format.
getFrobeniusNorm() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the Frobenius norm of the matrix.
getFunctionValue() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Get the result of the last run of the solver.
getFunctionValue() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Get the result of the last run of the solver.
getFunctionValue() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getFunctionValue() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getFunctionValue() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the result of the last run of the optimizer.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Get the actual function value accuracy.
getFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Get the actual function value accuracy.
getGamma() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the Gamma distribution.
getGenerator() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Get the underlying normalized components generator.
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured geometric mean implementation
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the geometric mean of all the aggregated data.
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the geometric mean of the available values
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getGeometricMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that correspond to each multivariate sample
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the geometric mean of the values that have been added.
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the geometric mean of the values that have been added.
getGeometricMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured geometric mean implementation.
getGradientEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function gradient.
getGradientEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the number of evaluations of the objective function gradient.
getGradientEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function gradient.
getGuessedAmplitude() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Get the guessed amplitude a.
getGuessedPhase() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Get the guessed phase φ.
getGuessedPulsation() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Get the guessed pulsation ω.
getH() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the Householder reflector vectors.
getH() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the Householder reflector vectors.
getHeight() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the height of the tableau.
getHouseholderVectorsRef() - Method in class org.apache.commons.math.linear.BiDiagonalTransformer
Get the Householder vectors of the transform.
getHouseholderVectorsRef() - Method in class org.apache.commons.math.linear.TriDiagonalTransformer
Get the Householder vectors of the transform.
getImagEigenvalue(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the imaginary part of the ith eigenvalue of the original matrix.
getImagEigenvalue(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the imaginary part of the ith eigenvalue of the original matrix.
getImagEigenvalues() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns a copy of the imaginary parts of the eigenvalues of the original matrix.
getImagEigenvalues() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns a copy of the imaginary parts of the eigenvalues of the original matrix.
getImaginary() - Method in class org.apache.commons.math.complex.Complex
Access the imaginary part.
getImaginaryCharacter() - Method in class org.apache.commons.math.complex.ComplexFormat
Access the imaginaryCharacter.
getImaginaryFormat() - Method in class org.apache.commons.math.complex.ComplexFormat
Access the imaginaryFormat.
getImproperInstance() - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the given locale.
getImproperInstance() - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the given locale.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the initial integration time.
getInstance() - Static method in class org.apache.commons.math.complex.ComplexField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math.complex.ComplexFormat
Returns the default complex format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math.complex.ComplexFormat
Returns the default complex format for the given locale.
getInstance() - Static method in class org.apache.commons.math.fraction.BigFractionField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math.fraction.FractionField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math.geometry.Vector3DFormat
Returns the default 3D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math.geometry.Vector3DFormat
Returns the default 3D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math.linear.RealVectorFormat
Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math.linear.RealVectorFormat
Returns the default real vector format for the given locale.
getInstance(int) - Static method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Get the Nordsieck transformer for a given number of steps.
getInstance() - Static method in class org.apache.commons.math.ode.sampling.DummyStepHandler
Get the only instance.
getInstance() - Static method in class org.apache.commons.math.util.BigRealField
Get the unique instance.
getIntercept() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the intercept of the estimated regression line.
getIntercept(double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the intercept of the estimated regression line, given the slope.
getInterceptStdErr() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the standard error of the intercept estimate, usually denoted s(b0).
getInternalLength() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Notice the package scope on this method.
getInternalValues() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the internal storage array.
getInterpolatedDerivatives() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the derivatives of the state vector of the interpolated point.
getInterpolatedDerivatives() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the derivatives of the state vector of the interpolated point.
getInterpolatedState() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the state vector of the interpolated point.
getInterpolatedState() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the state vector of the interpolated point.
getInterpolatedState() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the state vector of the interpolated point.
getInterpolatedStateVariation() - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Get the state vector variation from current to interpolated state.
getInterpolatedTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the time of the interpolated point.
getInterpolatedTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the time of the interpolated point.
getInterpolatedTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the time of the interpolated point.
getInterpolatingPoints() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the interpolating points array.
getInterpolatingValues() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the interpolating values array.
getInverse() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl.Solver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in interface org.apache.commons.math.linear.DecompositionSolver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl.Solver
Get the inverse of the decomposed matrix.
getInverse() - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in class org.apache.commons.math.linear.LUDecompositionImpl.Solver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in class org.apache.commons.math.linear.QRDecompositionImpl.Solver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl.Solver
Get the pseudo-inverse of the decomposed matrix.
getInvertedCoeffiecientSum(RealVector) - Static method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the -1 times the sum of all coefficients in the given array.
getIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Get the number of iterations in the last run of the algorithm.
getIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Get the number of iterations in the last run of the algorithm.
getIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the number of iterations in the last run of the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getJacobianEvaluations() - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the number of jacobian evaluations.
getJacobianEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function jacobian .
getJacobianEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the number of evaluations of the objective function jacobian .
getJacobianEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function jacobian .
getKnots() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns an array copy of the knot points.
getKurtosis() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the Kurtosis of the available values.
getKurtosisImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured kurtosis implementation.
getL() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Returns the matrix L of the decomposition.
getL() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the matrix L of the decomposition.
getL() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the matrix L of the decomposition.
getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getL1Distance(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getL1Norm() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the L1 norm of the vector.
getL1Norm() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns the L1 norm of the vector.
getL1Norm() - Method in interface org.apache.commons.math.linear.RealVector
Returns the L1 norm of the vector.
getLength() - Method in class org.apache.commons.math.genetics.AbstractListChromosome
Returns the length of the chromosome.
getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to compute LInfDistance.
getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getLInfNorm() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the L norm of the vector.
getLInfNorm() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns the L norm of the vector.
getLInfNorm() - Method in interface org.apache.commons.math.linear.RealVector
Returns the L norm of the vector.
getLocalizedMessage() - Method in exception org.apache.commons.math.MathException
getLocalizedMessage() - Method in exception org.apache.commons.math.MathRuntimeException
getLowerDomain(int, int, int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Return the lowest domain value for the given hypergeometric distribution parameters.
getLT() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Returns the transpose of the matrix L of the decomposition.
getLT() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Returns the transpose of the matrix L of the decomposition.
getLUMatrix() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the LU decomposition as a BigMatrix.
getMainDiagonalRef() - Method in class org.apache.commons.math.linear.BiDiagonalTransformer
Get the main diagonal elements of the matrix B of the transform.
getMainDiagonalRef() - Method in class org.apache.commons.math.linear.TriDiagonalTransformer
Get the main diagonal elements of the matrix T of the transform.
getMatrix() - Method in class org.apache.commons.math.geometry.Rotation
Get the 3X3 matrix corresponding to the instance
getMax() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMax() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the maximum of the ith entries of the arrays that correspond to each multivariate sample
getMax() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getMax() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the maximum of the values that have been added.
getMax() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMax() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the maximum of the values that have been added.
getMaxCheckInterval() - Method in class org.apache.commons.math.ode.events.EventState
Get the maximal time interval between events handler checks.
getMaxEvaluations() - Method in exception org.apache.commons.math.MaxEvaluationsExceededException
Get the maximal number of evaluations allowed.
getMaxEvaluations() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxGrowth() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the maximal growth factor for stepsize control.
getMaxGrowth() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the maximal growth factor for stepsize control.
getMaximalIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the upper limit for the number of iterations.
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured maximum implementation.
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured maximum implementation
getMaxIterationCount() - Method in class org.apache.commons.math.ode.events.EventState
Get the upper limit in the iteration count for event localization.
getMaxIterations() - Method in exception org.apache.commons.math.MaxIterationsExceededException
Get the maximal number of iterations allowed.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxStep() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the maximal step.
getMean() - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Access the mean.
getMean() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Access the mean.
getMean() - Method in interface org.apache.commons.math.distribution.NormalDistribution
Access the mean.
getMean() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the mean.
getMean() - Method in interface org.apache.commons.math.distribution.PoissonDistribution
Get the mean for the distribution.
getMean() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Get the Poisson mean for the distribution.
getMean() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the mean of the ith entries of the arrays that correspond to each multivariate sample
getMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getMean() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the mean of the values that have been added.
getMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the mean of the values that have been added.
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured mean implementation.
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured mean implementation
getMeanSquareError() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMeasuredValue() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the measured value
getMeasurements() - Method in interface org.apache.commons.math.estimation.EstimationProblem
Deprecated. Get the measurements of an estimation problem.
getMeasurements() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Get the measurements of an estimation problem.
getMedian() - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Access the median.
getMedian() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the median.
getMessage(Locale) - Method in exception org.apache.commons.math.MathException
Gets the message in a specified locale.
getMessage(Locale) - Method in exception org.apache.commons.math.MathRuntimeException
Gets the message in a specified locale.
getMin() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMin() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the minimum of the ith entries of the arrays that correspond to each multivariate sample
getMin() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getMin() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the minimum of the values that have been added.
getMin() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMin() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the minimum of the values that have been added.
getMinimalIterationCount() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Get the lower limit for the number of iterations.
getMinimalIterationCount() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Get the lower limit for the number of iterations.
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured minimum implementation.
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured minimum implementation
getMinReduction() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the minimal reduction factor for stepsize control.
getMinReduction() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the minimal reduction factor for stepsize control.
getMinStep() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the minimal step.
getMode() - Method in class org.apache.commons.math.random.ValueServer
Getter for property mode.
getMu() - Method in class org.apache.commons.math.random.ValueServer
Getter for property mu.
getMutationPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the mutation policy.
getMutationRate() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the mutation rate.
getN() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns the number of spline segments = the number of polynomials = the number of knot points - 1.
getN() - Method in class org.apache.commons.math.stat.correlation.Covariance
Returns the number of observations (length of covariate vectors)
getN() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Returns the number of values that have been added.
getN() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns the number of available values
getN() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getN() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the number of observations that have been added to the model.
getName() - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. get the name of the parameter
getName() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the name of the method.
getName() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the name of the method.
getNanPositions(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Returns a list of indexes where ranks is NaN.
getNanStrategy() - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Return the NaNStrategy
getNatural(int) - Method in class org.apache.commons.math.random.RandomDataImpl
Returns an array representing n.
getNearestCluster(Collection<Cluster<T>>, T) - Static method in class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer
Returns the nearest Cluster to the given point
getNewtonCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of coefficients in Newton form formula.
getNext() - Method in class org.apache.commons.math.random.ValueServer
Returns the next generated value, generated according to the mode value (see MODE constants).
getNextDigest() - Method in class org.apache.commons.math.random.ValueServer
Gets a random value in DIGEST_MODE.
getNextExponential() - Method in class org.apache.commons.math.random.ValueServer
Gets an exponentially distributed random value with mean = mu.
getNextGaussian() - Method in class org.apache.commons.math.random.ValueServer
Gets a Gaussian distributed random value with mean = mu and standard deviation = sigma.
getNextReplay() - Method in class org.apache.commons.math.random.ValueServer
Gets next sequential value from the valuesFileURL.
getNextUniform() - Method in class org.apache.commons.math.random.ValueServer
Gets a uniformly distributed random value with mean = mu.
getNextValue() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Generates a random value from this distribution.
getNextValue() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Generates a random value from this distribution.
getNorm() - Method in class org.apache.commons.math.geometry.Vector3D
Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the L2 norm of the vector.
getNorm() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns the L2 norm of the vector.
getNorm() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in interface org.apache.commons.math.linear.RealVector
Returns the L2 norm of the vector.
getNorm() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the L2 norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the L2 norm of the matrix.
getNorm1() - Method in class org.apache.commons.math.geometry.Vector3D
Get the L1 norm for the vector.
getNormalizedConstraints() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get new versions of the constraints which have positive right hand sides.
getNormInf() - Method in class org.apache.commons.math.geometry.Vector3D
Get the L norm for the vector.
getNormSq() - Method in class org.apache.commons.math.geometry.Vector3D
Get the square of the norm for the vector.
getNSteps() - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Get the number of steps of the method (excluding the one being computed).
getNumArtificialVariables() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the number of artificial variables.
getNumberOfElements() - Method in interface org.apache.commons.math.distribution.ZipfDistribution
Get the number of elements (e.g.
getNumberOfElements() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Get the number of elements (e.g.
getNumberOfSuccesses() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the number of successes.
getNumberOfSuccesses() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the number of successes.
getNumberOfSuccesses() - Method in interface org.apache.commons.math.distribution.PascalDistribution
Access the number of successes for this distribution.
getNumberOfSuccesses() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Access the number of successes for this distribution.
getNumberOfTrials() - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Access the number of trials for this distribution.
getNumberOfTrials() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the number of trials for this distribution.
getNumDecisionVariables() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the number of decision variables.
getNumElements() - Method in interface org.apache.commons.math.util.DoubleArray
Returns the number of elements currently in the array.
getNumElements() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the number of elements currently in the array.
getNumerator() - Method in class org.apache.commons.math.fraction.BigFraction
Access the numerator as a BigInteger.
getNumerator() - Method in class org.apache.commons.math.fraction.Fraction
Access the numerator.
getNumeratorAsInt() - Method in class org.apache.commons.math.fraction.BigFraction
Access the numerator as a int.
getNumeratorAsLong() - Method in class org.apache.commons.math.fraction.BigFraction
Access the numerator as a long.
getNumeratorDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.FDistribution
Access the numerator degrees of freedom.
getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the numerator degrees of freedom.
getNumeratorFormat() - Method in class org.apache.commons.math.fraction.AbstractFormat
Access the numerator format.
getNumGenerations() - Method in class org.apache.commons.math.genetics.FixedGenerationCount
 
getNumObjectiveFunctions() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the number of objective functions in this tableau.
getNumSlackVariables() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the number of slack variables.
getNumVariables() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the number of variables.
getObservations() - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Get the observed points.
getOmegaImaginary(int) - Method in class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Get the imaginary part of the kth nth root of unity
getOmegaInverse() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Get the inverse of the covariance.
getOmegaReal(int) - Method in class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Get the real part of the kth nth root of unity
getOne() - Method in class org.apache.commons.math.complex.ComplexField
Get the multiplicative identity of the field.
getOne() - Method in interface org.apache.commons.math.Field
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.fraction.BigFractionField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.fraction.FractionField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.util.BigRealField
Get the multiplicative identity of the field.
getOneWayAnova() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Return a (singleton) OneWayAnova instance.
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get all the optima found during the last call to optimize.
getOptimaValues() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get all the function values at optima found during the last call to optimize.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Get the order of the method.
getOriginalNumDecisionVariables() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the original number of decision variables.
getP() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the P rows permutation matrix.
getP() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the P rows permutation matrix.
getPartial(EstimatedParameter) - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the partial derivative of the theoretical value according to the parameter.
getPattern() - Method in exception org.apache.commons.math.MathException
Gets the pattern used to build the message of this throwable.
getPattern() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the pattern used to build the message of this throwable.
getPct(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getPct(Comparable) as of 2.0
getPct(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPercentile(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns an estimate for the pth percentile of the stored values.
getPercentileImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured percentile implementation.
getPermutation() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the permutation associated with the lu decomposition.
getPhase() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Get the phase φ.
getPivot() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the pivot permutation vector.
getPivot() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the pivot permutation vector.
getPivot() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the pivot permutation vector.
getPivot() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the pivot permutation vector.
getPivotColumn(SimplexTableau) - Method in class org.apache.commons.math.optimization.linear.SimplexSolver
Returns the column with the most negative coefficient in the objective function row.
getPivotRow(int, SimplexTableau) - Method in class org.apache.commons.math.optimization.linear.SimplexSolver
Returns the row with the minimum ratio as given by the minimum ratio test (MRT).
getPoint() - Method in class org.apache.commons.math.optimization.RealPointValuePair
Get the point.
getPoint() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair
Get the point.
getPoint() - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Get the n-dimensional point in integer space.
getPointRef() - Method in class org.apache.commons.math.optimization.RealPointValuePair
Get a reference to the point.
getPointRef() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair
Get a reference to the point.
getPoints() - Method in class org.apache.commons.math.stat.clustering.Cluster
Get the points contained in the cluster.
getPolynomialFunction() - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. as of 2.0 the function is not stored anymore within the instance.
getPolynomials() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns a copy of the interpolating polynomials array.
getPopulationLimit() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the maximum population size.
getPopulationLimit() - Method in interface org.apache.commons.math.genetics.Population
Access the maximum population size.
getPopulationSize() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the population size.
getPopulationSize() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the population size.
getPopulationSize() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the current population size.
getPopulationSize() - Method in interface org.apache.commons.math.genetics.Population
Access the current population size.
getPosition() - Method in class org.apache.commons.math.stat.ranking.NaturalRanking.IntDoublePair
Returns the original position of the pair.
getPrefix() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the format prefix.
getPrefix() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the format prefix.
getPreviousTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the previous grid point time.
getPreviousTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the previous grid point time.
getProbabilityOfSuccess() - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in interface org.apache.commons.math.distribution.PascalDistribution
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Access the probability of success for this distribution.
getProperInstance() - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the given locale.
getProperInstance() - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the given locale.
getPulsation() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Get the pulsation ω.
getQ() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the matrix Q of the decomposition.
getQ() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the matrix Q of the decomposition.
getQ() - Method in class org.apache.commons.math.linear.TriDiagonalTransformer
Returns the matrix Q of the transform.
getQ0() - Method in class org.apache.commons.math.geometry.Rotation
Get the scalar coordinate of the quaternion.
getQ1() - Method in class org.apache.commons.math.geometry.Rotation
Get the first coordinate of the vectorial part of the quaternion.
getQ2() - Method in class org.apache.commons.math.geometry.Rotation
Get the second coordinate of the vectorial part of the quaternion.
getQ3() - Method in class org.apache.commons.math.geometry.Rotation
Get the third coordinate of the vectorial part of the quaternion.
getQT() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the transpose of the matrix Q of the decomposition.
getQT() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the transpose of the matrix Q of the decomposition.
getQT() - Method in class org.apache.commons.math.linear.TriDiagonalTransformer
Returns the transpose of the matrix Q of the transform.
getQuantile() - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
getR() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the matrix R of the decomposition.
getR() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the matrix R of the decomposition.
getR() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns Pearson's product moment correlation coefficient, usually denoted r.
getRan() - Method in class org.apache.commons.math.random.RandomDataImpl
Returns the RandomGenerator used to generate non-secure random data.
getRandomGenerator() - Static method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the (static) random generator.
getRank() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Get the rank of the covariance matrix.
getRankCorrelation() - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Returns a PearsonsCorrelation instance constructed from the ranked input data.
getReal() - Method in class org.apache.commons.math.complex.Complex
Access the real part.
getRealEigenvalue(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the real part of the ith eigenvalue of the original matrix.
getRealEigenvalue(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the real part of the ith eigenvalue of the original matrix.
getRealEigenvalues() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns a copy of the real parts of the eigenvalues of the original matrix.
getRealEigenvalues() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns a copy of the real parts of the eigenvalues of the original matrix.
getRealFormat() - Method in class org.apache.commons.math.complex.ComplexFormat
Access the realFormat.
getReducedFraction(int, int) - Static method in class org.apache.commons.math.fraction.BigFraction
Creates a BigFraction instance with the 2 parts of a fraction Y/Z.
getReducedFraction(int, int) - Static method in class org.apache.commons.math.fraction.Fraction
Creates a Fraction instance with the 2 parts of a fraction Y/Z.
getRegressionSumSquares() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRegressionSumSquares(double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Computes SSR from b1.
getRelationship() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
Get the relationship between left and right hand sides.
getRelativeAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the actual relative accuracy.
getRepresentation() - Method in class org.apache.commons.math.genetics.AbstractListChromosome
Returns the (immutable) inner representation of the chromosome.
getResidual() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the residual for this measurement The residual is the measured value minus the theoretical value.
getResult() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Get the result of the last run of the integrator.
getResult() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Access the last computed integral.
getResult() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Get the result of the last run of the solver.
getResult() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Get the result of the last run of the solver.
getResult() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getResult() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getResult() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the result of the last run of the optimizer.
getResult() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Returns the value of the statistic based on the values that have been added.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Get the covariance matrix.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Get the mean vector.
getResult() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Returns the current value of the Statistic.
getResult() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns the current value of the Statistic.
getResults(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array of the results of a statistic.
getRhsOffset() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the offset of the right hand side.
getRMS(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the Root Mean Square value.
getRMS(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Get the Root Mean Square value.
getRMS() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the Root Mean Square value.
getRootMatrix() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Get the root of the covariance matrix.
getRoundingMode() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Gets the rounding mode
getRoundingMode() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Gets the rounding mode for division operations The default is BigDecimal.ROUND_HALF_UP
getRow(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in row number row as an array.
getRowAsDoubleArray(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in row number row as an array of double values.
getRowAsDoubleArray(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in row number row as an array of double values.
getRowDimension() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in interface org.apache.commons.math.linear.AnyMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns the number of rows in the matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in row number row as a row matrix.
getRowVector(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in row number row as a vector.
getRSquare() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the coefficient of determination, usually denoted r-square.
getS() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the diagonal matrix Σ of the decomposition.
getS() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the diagonal matrix Σ of the decomposition.
getSafety() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the safety factor for stepsize control.
getSafety() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the safety factor for stepsize control.
getSampleSize() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the sample size.
getSampleSize() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the sample size.
getSampleStats() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns a StatisticalSummary describing this distribution.
getSampleStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns a StatisticalSummary describing this distribution.
getScale() - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Access the scale parameter.
getScale() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the scale parameter.
getScale() - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Access the scale parameter.
getScale() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the scale parameter.
getScale() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Sets the scale for division operations.
getSecond() - Method in class org.apache.commons.math.genetics.ChromosomePair
Access the second chromosome.
getSecondaryDiagonalRef() - Method in class org.apache.commons.math.linear.BiDiagonalTransformer
Get the secondary diagonal elements of the matrix B of the transform.
getSecondaryDiagonalRef() - Method in class org.apache.commons.math.linear.TriDiagonalTransformer
Get the secondary diagonal elements of the matrix T of the transform.
getSecondMoment() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns a statistic related to the Second Central Moment.
getSecondMoment() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns a statistic related to the Second Central Moment.
getSecRan() - Method in class org.apache.commons.math.random.RandomDataImpl
Returns the SecureRandom used to generate secure random data.
getSelectionPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the selection policy.
getSeparator() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the format separator between components.
getSeparator() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the format separator between components.
getShape() - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Access the shape parameter.
getShape() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the shape parameter.
getSigma() - Method in class org.apache.commons.math.random.ValueServer
Getter for property sigma.
getSignificance() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the significance level of the slope (equiv) correlation.
getSingularValues() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the diagonal elements of the matrix Σ of the decomposition.
getSingularValues() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the diagonal elements of the matrix Σ of the decomposition.
getSkewness() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the skewness of the available values.
getSkewnessImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured skewness implementation.
getSlackVariableOffset() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the offset of the first slack variable.
getSlope() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the slope of the estimated regression line.
getSlopeConfidenceInterval() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the half-width of a 95% confidence interval for the slope estimate.
getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.
getSlopeStdErr() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the standard error of the slope estimate, usually denoted s(b1).
getSolution() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the current solution.
getSolver() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in interface org.apache.commons.math.linear.LUDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in interface org.apache.commons.math.linear.QRDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Get a solver for finding the A × X = B solution in least square sense.
getSortedValues() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the current set of values in an array of double primitives, sorted in ascending order.
getSparcity() - Method in class org.apache.commons.math.linear.OpenMapRealVector
 
getStandardDeviation() - Method in interface org.apache.commons.math.distribution.NormalDistribution
Access the standard deviation.
getStandardDeviation() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the standard deviation.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getStandardDeviation() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that correspond to each multivariate sample
getStandardDeviation() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the standard deviation of the values that have been added.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the standard deviation of the values that have been added.
getStarterIntegrator() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the starter integrator.
getStepHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get all the step handlers that have been added to the integrator.
getStepHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get all the step handlers that have been added to the integrator.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Gets a submatrix.
getSubVector(int, int) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math.linear.ArrayRealVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in interface org.apache.commons.math.linear.FieldVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in interface org.apache.commons.math.linear.RealVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math.linear.SparseFieldVector
Get a subvector from consecutive elements.
getSuffix() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the format suffix.
getSuffix() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the format suffix.
getSum() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSum() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the sum of the ith entries of the arrays that correspond to each multivariate sample
getSum() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getSum() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the sum of the values that have been added
getSum() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSum() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the sum of the values that have been added
getSumFreq() - Method in class org.apache.commons.math.stat.Frequency
Returns the sum of all frequencies.
getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured sum implementation.
getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured Sum implementation
getSumLog() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumLog() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that correspond to each multivariate sample
getSumLog() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured sum of logs implementation
getSummary() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Return a StatisticalSummaryValues instance reporting current aggregate statistics.
getSummary() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Return a StatisticalSummaryValues instance reporting current statistics.
getSummary() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Return a StatisticalSummaryValues instance reporting current statistics.
getSumOfCrossProducts() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of crossproducts, xi*yi.
getSumOfLogs() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the sum of the logs of all the aggregated data.
getSumOfLogs() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the sum of the logs of the values that have been added.
getSumsq() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the sum of the squares of all the aggregated data.
getSumsq() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the sum of the squares of the available values.
getSumSq() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumSq() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that correspond to each multivariate sample
getSumsq() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the sum of the squares of the values that have been added.
getSumSq() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumsq() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the sum of the squares of the values that have been added.
getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured sum of squares implementation.
getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured sum of squares implementation
getSumSquaredErrors() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared errors (SSE) associated with the regression model.
getT() - Method in class org.apache.commons.math.linear.TriDiagonalTransformer
Returns the tridiagonal matrix T of the transform.
getTheoreticalValue() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the theoretical value expected for this measurement
getTiesStrategy() - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Return the TiesStrategy
getTotalSumSquares() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared deviations of the y values about their mean.
getTrace() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTransformer(Class<?>) - Method in class org.apache.commons.math.util.TransformerMap
Returns the Transformer that is mapped to a class if mapping is not present, this returns null.
getTTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Return a (singleton) TTest instance.
getU() - Method in class org.apache.commons.math.linear.BiDiagonalTransformer
Returns the matrix U of the transform.
getU() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the matrix U of the decomposition.
getU() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the matrix U of the decomposition.
getU() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the matrix U of the decomposition.
getUnboundParameters() - Method in interface org.apache.commons.math.estimation.EstimationProblem
Deprecated. Get the unbound parameters of the problem.
getUnboundParameters() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Get the unbound parameters of the problem.
getUnknownDistributionChiSquareTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Return a (singleton) UnknownDistributionChiSquareTest instance.
getUpperBounds() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns the array of upper bounds for the bins.
getUpperBounds() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns (a fresh copy of) the array of upper bounds for the bins.
getUpperDomain(int, int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Return the highest domain value for the given hypergeometric distribution parameters.
getUT() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the transpose of the matrix U of the decomposition.
getUT() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the transpose of the matrix U of the decomposition.
getV() - Method in class org.apache.commons.math.linear.BiDiagonalTransformer
Returns the matrix V of the transform.
getV() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the matrix V of the decomposition.
getV() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the matrix V of the decomposition.
getV() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the matrix V of the decomposition.
getV() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the matrix V of the decomposition.
getValue() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
Get the value of the constraint (right hand side).
getValue(double[]) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Compute the value of the linear equation at the current point
getValue(RealVector) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Compute the value of the linear equation at the current point
getValue() - Method in class org.apache.commons.math.optimization.RealPointValuePair
Get the value of the objective function.
getValue() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair
Get the value of the objective function.
getValue() - Method in class org.apache.commons.math.stat.ranking.NaturalRanking.IntDoublePair
Returns the value of the pair.
getValueRef() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair
Get a reference to the value of the objective function.
getValues() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the current set of values in an array of double primitives.
getValues() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the current set of values in an array of double primitives.
getValues() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Deprecated. replaced by ResizableDoubleArray.getInternalValues() as of 2.0
getValuesFileURL() - Method in class org.apache.commons.math.random.ValueServer
Getter for valuesFileURL
getVariance() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the variance of the available values.
getVariance() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getVariance() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the variance of the values that have been added.
getVariance() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the variance of the values that have been added.
getVarianceImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured variance implementation.
getVarianceImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured variance implementation
getVarianceImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured variance implementation
getVT() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the transpose of the matrix V of the decomposition.
getVT() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the transpose of the matrix V of the decomposition.
getVT() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the transpose of the matrix V of the decomposition.
getVT() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the transpose of the matrix V of the decomposition.
getWeight() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the weight of the measurement in the least squares problem
getWeight() - Method in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Get the weight of the measurement in the fitting process.
getWholeFormat() - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat
Access the whole format.
getWholeFormat() - Method in class org.apache.commons.math.fraction.ProperFractionFormat
Access the whole format.
getWidth() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get the width of the tableau.
getWindowSize() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getWindowSize() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getX() - Method in class org.apache.commons.math.geometry.Vector3D
Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Get the abscissa of the point.
getXSumSquares() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared deviations of the x values about their mean.
getY() - Method in class org.apache.commons.math.geometry.Vector3D
Get the ordinate of the vector.
getY() - Method in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Get the observed value of the function at x.
getZ() - Method in class org.apache.commons.math.geometry.Vector3D
Get the height of the vector.
getZero() - Method in class org.apache.commons.math.complex.ComplexField
Get the additive identity of the field.
getZero() - Method in interface org.apache.commons.math.Field
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math.fraction.BigFractionField
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math.fraction.FractionField
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math.util.BigRealField
Get the additive identity of the field.
GillIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
GillIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.GillIntegrator
Simple constructor.
GillStepInterpolator - Class in org.apache.commons.math.ode.nonstiff
This class implements a step interpolator for the Gill fourth order Runge-Kutta integrator.
GillStepInterpolator() - Constructor for class org.apache.commons.math.ode.nonstiff.GillStepInterpolator
Simple constructor.
GillStepInterpolator(GillStepInterpolator) - Constructor for class org.apache.commons.math.ode.nonstiff.GillStepInterpolator
Copy constructor.
GLSMultipleLinearRegression - Class in org.apache.commons.math.stat.regression
The GLS implementation of the multiple linear regression.
GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
 
goalType - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Type of optimization.
GoalType - Enum in org.apache.commons.math.optimization
Goal type for an optimization problem.
GoalType() - Constructor for enum org.apache.commons.math.optimization.GoalType
 
goalType - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Type of optimization goal: either GoalType.MAXIMIZE or GoalType.MINIMIZE.
goodStep(int, int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Perform one "good" dqd/dqds step.
gradient() - Method in interface org.apache.commons.math.analysis.DifferentiableMultivariateRealFunction
Returns the gradient function.
gradient(double, double[]) - Method in class org.apache.commons.math.optimization.fitting.HarmonicFitter.ParametricHarmonicFunction
Compute the gradient of the function with respect to its parameters.
gradient(double, double[]) - Method in interface org.apache.commons.math.optimization.fitting.ParametricRealFunction
Compute the gradient of the function with respect to its parameters.
gradient(double, double[]) - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter.ParametricPolynomial
Compute the gradient of the function with respect to its parameters.
gradient - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Objective function gradient.
gradientEvaluations - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Number of gradient evaluations.
GraggBulirschStoerIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations.
GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Simple constructor.
GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Simple constructor.
GraggBulirschStoerStepInterpolator - Class in org.apache.commons.math.ode.nonstiff
This class implements an interpolator for the Gragg-Bulirsch-Stoer integrator.
GraggBulirschStoerStepInterpolator() - Constructor for class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Simple constructor.
GraggBulirschStoerStepInterpolator(double[], double[], double[], double[], double[][], boolean) - Constructor for class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Simple constructor.
GraggBulirschStoerStepInterpolator(GraggBulirschStoerStepInterpolator) - Constructor for class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Copy constructor.
growTable() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Grow the tables.
growTable() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Grow the tables.
guess() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Estimate a first guess of the coefficients.
guessAOmega() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Estimate a first guess of the a and ω coefficients.
guessParametersErrors(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Guess the errors in unbound estimated parameters.
guessParametersErrors(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Guess the errors in estimated parameters.
guessParametersErrors() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Guess the errors in optimized parameters.
guessPhi() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Estimate a first guess of the φ coefficient.

H

h - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
current time step
h - Variable in class org.apache.commons.math.ode.sampling.StepNormalizer
Fixed time step.
HALF_LOG_2_PI - Static variable in class org.apache.commons.math.special.Gamma
Avoid repeated computation of log of 2 PI in logGamma
handler - Variable in class org.apache.commons.math.ode.events.EventState
Event handler.
handler - Variable in class org.apache.commons.math.ode.sampling.StepNormalizer
Underlying step handler.
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Handle the last accepted step.
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math.ode.MultistepIntegrator.NordsieckInitializer
Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math.ode.sampling.DummyStepHandler
Handle the last accepted step.
handleStep(double, double[], double[], boolean) - Method in interface org.apache.commons.math.ode.sampling.FixedStepHandler
Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in interface org.apache.commons.math.ode.sampling.StepHandler
Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math.ode.sampling.StepNormalizer
Handle the last accepted step
HarmonicCoefficientsGuesser - Class in org.apache.commons.math.optimization.fitting
This class guesses harmonic coefficients from a sample.
HarmonicCoefficientsGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Simple constructor.
HarmonicFitter - Class in org.apache.commons.math.optimization.fitting
This class implements a curve fitting specialized for sinusoids.
HarmonicFitter(DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicFitter
Simple constructor.
HarmonicFitter(DifferentiableMultivariateVectorialOptimizer, double[]) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicFitter
Simple constructor.
HarmonicFitter.ParametricHarmonicFunction - Class in org.apache.commons.math.optimization.fitting
Parametric harmonic function.
HarmonicFitter.ParametricHarmonicFunction() - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicFitter.ParametricHarmonicFunction
 
HarmonicFunction - Class in org.apache.commons.math.optimization.fitting
Harmonic function of the form f (t) = a cos (ω t + φ).
HarmonicFunction(double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicFunction
Simple constructor.
HasDensity<P> - Interface in org.apache.commons.math.distribution
Interface that signals that a distribution can compute the probability density function for a particular point.
hash(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns an integer hash code representing the given double value.
hash(double[]) - Static method in class org.apache.commons.math.util.MathUtils
Returns an integer hash code representing the given double array.
hashCode() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
hashCode() - Method in class org.apache.commons.math.complex.Complex
Get a hashCode for the complex number.
hashCode() - Method in class org.apache.commons.math.fraction.BigFraction
Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math.fraction.Fraction
Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math.geometry.Vector3D
Get a hashCode for the 3D vector.
hashCode() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Get a hashCode for the real vector.
hashCode() - Method in class org.apache.commons.math.linear.ArrayRealVector
Get a hashCode for the real vector.
hashCode() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math.linear.OpenMapRealVector
hashCode() - Method in class org.apache.commons.math.linear.SparseFieldVector
hashCode() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
hashCode() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
hashCode() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
hashCode() - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
hashCode() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns hash code based on getResult() and getN()
hashCode() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
hashCode() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
hashCode() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.Frequency
hashCode() - Method in class org.apache.commons.math.util.BigReal
hashCode() - Method in class org.apache.commons.math.util.DefaultTransformer
hashCode() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns a hash code consistent with equals.
hashCode() - Method in class org.apache.commons.math.util.TransformerMap
hashOf(int) - Static method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Compute the hash value of a key
hashOf(int) - Static method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Compute the hash value of a key
hasNext() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Check if there is a next element in the map.
hasNext() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Check if there is a next element in the map.
HERMITE_COEFFICIENTS - Static variable in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Coefficients for Hermite polynomials.
HighamHall54Integrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
HighamHall54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Simple constructor.
HighamHall54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Simple constructor.
HighamHall54StepInterpolator - Class in org.apache.commons.math.ode.nonstiff
This class represents an interpolator over the last step during an ODE integration for the 5(4) Higham and Hall integrator.
HighamHall54StepInterpolator() - Constructor for class org.apache.commons.math.ode.nonstiff.HighamHall54StepInterpolator
Simple constructor.
HighamHall54StepInterpolator(HighamHall54StepInterpolator) - Constructor for class org.apache.commons.math.ode.nonstiff.HighamHall54StepInterpolator
Copy constructor.
homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
homoscedasticT(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.
homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.
homoscedasticT(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.
homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.
homoscedasticT(double, double, double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes t test statistic for 2-sample t-test under the hypothesis of equal subpopulation variances.
homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
homoscedasticTTest(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.
homoscedasticTTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal.
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.
homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal.
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
homoscedasticTTest(double, double, double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes p-value for 2-sided, 2-sample t-test, under the assumption of equal subpopulation variances.
householderVectors - Variable in class org.apache.commons.math.linear.BiDiagonalTransformer
Householder vectors.
householderVectors - Variable in class org.apache.commons.math.linear.TriDiagonalTransformer
Householder vectors.
HypergeometricDistribution - Interface in org.apache.commons.math.distribution
The Hypergeometric Distribution.
HypergeometricDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of HypergeometricDistribution.
HypergeometricDistributionImpl(int, int, int) - Constructor for class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Construct a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.

I

I - Static variable in class org.apache.commons.math.complex.Complex
The square root of -1.
IDENTITY - Static variable in class org.apache.commons.math.geometry.Rotation
Identity rotation.
identityPermutation(int) - Static method in class org.apache.commons.math.genetics.RandomKey
Generates a representation corresponding to an identity permutation of length l which can be passed to the RandomKey constructor.
ignored - Variable in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Ignore measurement indicator.
imagEigenvalues - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Imaginary part of the realEigenvalues.
imagEigenvalues - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl.Solver
Imaginary part of the realEigenvalues.
imaginary - Variable in class org.apache.commons.math.complex.Complex
The imaginary part
imaginaryCharacter - Variable in class org.apache.commons.math.complex.ComplexFormat
The notation used to signify the imaginary part of the complex number.
imaginaryFormat - Variable in class org.apache.commons.math.complex.ComplexFormat
The format used for the imaginary part.
incMoment - Variable in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math.stat.descriptive.moment.Mean
Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math.stat.descriptive.moment.Skewness
Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math.stat.descriptive.moment.Variance
Boolean test to determine if this Variance should also increment the second moment, this evaluates to false when this Variance is constructed with an external SecondMoment as a parameter.
increasing - Variable in class org.apache.commons.math.ode.events.EventState
Variation direction around pending event.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Add a new vector to the sample.
increment(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Add a new vector to the sample.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Updates the internal state of the statistic to reflect the addition of the new value.
incrementAll(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the input array.
incrementAll(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array.
incrementAll(double[]) - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Updates the internal state of the statistic to reflect addition of all values in the values array.
incrementAll(double[], int, int) - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array.
incrementIterationsCounter() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Increment the iterations counter by 1.
incrementIterationsCounter() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Increment the iterations counter by 1.
incrementIterationsCounter() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Increment the iterations counter by 1.
incrementIterationsCounter() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Increment the iterations counter by 1.
incrementJacobianEvaluationsCounter() - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Increment the jacobian evaluations counter.
index - Variable in class org.apache.commons.math.ode.ContinuousOutputModel
Current interpolator index.
indicator(byte) - Static method in class org.apache.commons.math.util.MathUtils
For a byte value x, this method returns (byte)(+1) if x >= 0 and (byte)(-1) if x < 0.
indicator(double) - Static method in class org.apache.commons.math.util.MathUtils
For a double precision value x, this method returns +1.0 if x >= 0 and -1.0 if x < 0.
indicator(float) - Static method in class org.apache.commons.math.util.MathUtils
For a float value x, this method returns +1.0F if x >= 0 and -1.0F if x < 0.
indicator(int) - Static method in class org.apache.commons.math.util.MathUtils
For an int value x, this method returns +1 if x >= 0 and -1 if x < 0.
indicator(long) - Static method in class org.apache.commons.math.util.MathUtils
For a long value x, this method returns +1L if x >= 0 and -1L if x < 0.
indicator(short) - Static method in class org.apache.commons.math.util.MathUtils
For a short value x, this method returns (short)(+1) if x >= 0 and (short)(-1) if x < 0.
inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math.genetics.RandomKey
Generates a representation of a permutation corresponding to a permutation which yields permutedData when applied to originalData.
INF - Static variable in class org.apache.commons.math.complex.Complex
A complex number representing "+INF + INFi"
INFINITE_WINDOW - Static variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Represents an infinite window size.
initialCapacity - Variable in class org.apache.commons.math.util.ResizableDoubleArray
The initial capacity of the array.
initialization - Variable in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Initialization matrix for the higher order derivatives wrt y'', y''' ...
initialize() - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Puts the tableau in proper form by zeroing out the artificial variables in the objective function via elementary row operations.
initializeArrays() - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Initialize the integrator internal arrays.
initialized - Variable in class org.apache.commons.math.ode.events.CombinedEventsManager
Initialization indicator.
initializeEstimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Initialization of the common parts of the estimation.
initializeHighOrderDerivatives(double[], double[][]) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double[], double[][]) - Method in interface org.apache.commons.math.ode.MultistepIntegrator.NordsieckTransformer
Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double[], double[][]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double[], double[][]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Initialize the high order scaled derivatives at step start.
initializeStep(FirstOrderDifferentialEquations, boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Initialize the integration step.
initialSplits(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Perform two iterations with Li's tests for initial splits.
initialStep - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
User supplied initial step.
initialStep - Variable in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Initial step used to bracket the optimum in line search.
initialStepBoundFactor - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Positive input variable used in determining the initial step bound.
initialStepBoundFactor - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Positive input variable used in determining the initial step bound.
initialTime - Variable in class org.apache.commons.math.ode.ContinuousOutputModel
Initial integration time.
innerCumulativeProbability(int, int, int, int, int, int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this distribution, X, this method returns P(x0 ≤ X ≤ x1).
inputArray - Variable in class org.apache.commons.math.random.EmpiricalDistributionImpl.ArrayDataAdapter
Array of input data values
inputStream - Variable in class org.apache.commons.math.random.EmpiricalDistributionImpl.StreamDataAdapter
Input stream providng access to the data
INSTANCE - Static variable in class org.apache.commons.math.complex.ComplexField.LazyHolder
Cached field instance.
INSTANCE - Static variable in class org.apache.commons.math.fraction.BigFractionField.LazyHolder
Cached field instance.
INSTANCE - Static variable in class org.apache.commons.math.fraction.FractionField.LazyHolder
Cached field instance.
instance - Static variable in class org.apache.commons.math.ode.sampling.DummyStepHandler
The only instance.
INSTANCE - Static variable in class org.apache.commons.math.util.BigRealField.LazyHolder
Cached field instance.
IntegerDistribution - Interface in org.apache.commons.math.distribution
Interface for discrete distributions of integer-valued random variables.
integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Deprecated. 
integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Integrate the function in the given interval.
integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.RombergIntegrator
Deprecated. 
integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.RombergIntegrator
Integrate the function in the given interval.
integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.SimpsonIntegrator
Deprecated. 
integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.SimpsonIntegrator
Integrate the function in the given interval.
integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Deprecated. 
integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Integrate the function in the given interval.
integrate(double, double) - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Deprecated. replaced by UnivariateRealIntegrator.integrate(UnivariateRealFunction, double, double) since 2.0
integrate(UnivariateRealFunction, double, double) - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Integrate the function in the given interval.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math.ode.FirstOrderIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsBashforthIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator
Integrate the differential equations up to the given time.
integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math.ode.SecondOrderIntegrator
Integrate the differential equations up to the given time
integrator - Variable in class org.apache.commons.math.ode.nonstiff.RungeKuttaStepInterpolator
Reference to the integrator.
IntegratorException - Exception in org.apache.commons.math.ode
This exception is made available to users to report the error conditions that are triggered during integration
IntegratorException(String, Object...) - Constructor for exception org.apache.commons.math.ode.IntegratorException
Simple constructor.
IntegratorException(Throwable) - Constructor for exception org.apache.commons.math.ode.IntegratorException
Create an exception with a given root cause.
internalArray - Variable in class org.apache.commons.math.util.ResizableDoubleArray
The internal storage array.
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a SplineInterpolator on the resulting fit.
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.NevilleInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.SplineInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in interface org.apache.commons.math.analysis.interpolation.UnivariateRealInterpolator
Computes an interpolating function for the data set.
interpolatedDerivatives - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
interpolated derivatives
interpolatedState - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
interpolated state
interpolatedTime - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
interpolated time
intValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as an int.
intValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as an int.
InvalidMatrixException - Exception in org.apache.commons.math.linear
Thrown when a system attempts an operation on a matrix, and that matrix does not satisfy the preconditions for the aforementioned operation.
InvalidMatrixException(String, Object...) - Constructor for exception org.apache.commons.math.linear.InvalidMatrixException
Construct an exception with the given message.
InvalidMatrixException(Throwable) - Constructor for exception org.apache.commons.math.linear.InvalidMatrixException
Construct an exception with the given message.
InvalidRepresentationException - Exception in org.apache.commons.math.genetics
Exception indicating that the representation of a chromosome is not valid.
InvalidRepresentationException() - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException
Constructor
InvalidRepresentationException(String) - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException
Construct an InvalidRepresentationException
InvalidRepresentationException(Throwable) - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException
Construct an InvalidRepresentationException
InvalidRepresentationException(String, Throwable) - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException
Construct an InvalidRepresentationException
inverse() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
inverse() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the inverse of this matrix.
inverse() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the inverse matrix if this matrix is invertible.
inverse() - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by new LUDecompositionImpl(m).getSolver().getInverse()
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns the largest x, such that P(X ≤ x) ≤ p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
For this distribution, X, this method returns the largest x, such that P(X ≤ x) ≤ p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.math.distribution.ContinuousDistribution
For this distribution, X, this method returns x such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.math.distribution.IntegerDistribution
For this distribution, X, this method returns the largest x such that P(X ≤ x) <= p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
For this distribution, X, this method returns the largest x, such that P(X ≤ x) ≤ p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Inversely transform the given real data set.
inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given real data set.
inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given complex data set.
inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
Inversely transform the given real data set.
inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer
Inversely transform the given real data set.
inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform(double[]) - Method in interface org.apache.commons.math.transform.RealTransformer
Inversely transform the given real data set.
inversetransform(UnivariateRealFunction, double, double, int) - Method in interface org.apache.commons.math.transform.RealTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform2(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Inversely transform the given real data set.
inversetransform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform2(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given real data set.
inversetransform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform2(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given complex data set.
inversetransform2(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer
Inversely transform the given real data set.
inversetransform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer
Inversely transform the given real function, sampled on the given interval.
isBiasCorrected() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
 
isBiasCorrected - Variable in class org.apache.commons.math.stat.descriptive.moment.Variance
Determines whether or not bias correction is applied when computing the value of the statisic.
isBiasCorrected() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
 
isBiasCorrected - Variable in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Indicator for bias correction.
isBound() - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Check if the parameter is bound
isBracketing(double, double, UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Returns true iff the function takes opposite signs at the endpoints.
isEmpty() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Check if the manager does not manage any event handlers.
isForward() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Check if the natural integration direction is forward.
isForward() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Check if the natural integration direction is forward.
isForward - Variable in class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Forward/reverse indicator.
isForward() - Method in class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Check if computation has been done for forward or reverse transform.
isIgnored() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Check if this measurement should be ignored
isInfinite - Variable in class org.apache.commons.math.complex.Complex
Record whether this complex number is infinite
isInfinite() - Method in class org.apache.commons.math.complex.Complex
Returns true if either the real or imaginary part of this complex number takes an infinite value (either Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY) and neither part is NaN.
isInfinite() - Method in class org.apache.commons.math.geometry.Vector3D
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in interface org.apache.commons.math.linear.RealVector
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isLoaded() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Property indicating whether or not the distribution has been loaded.
isLoaded() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Property indicating whether or not the distribution has been loaded.
isNaN - Variable in class org.apache.commons.math.complex.Complex
Record whether this complex number is equal to NaN
isNaN() - Method in class org.apache.commons.math.complex.Complex
Returns true if either or both parts of this complex number is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math.geometry.Vector3D
Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in interface org.apache.commons.math.linear.RealVector
Returns true if any coordinate of this vector is NaN; false otherwise
isNonSingular() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl.Solver
Check if the decomposed matrix is non-singular.
isNonSingular() - Method in interface org.apache.commons.math.linear.DecompositionSolver
Check if the decomposed matrix is non-singular.
isNonSingular() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl.Solver
Check if the decomposed matrix is non-singular.
isNonSingular() - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Check if the decomposed matrix is non-singular.
isNonSingular() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Check if the decomposed matrix is non-singular.
isNonSingular() - Method in class org.apache.commons.math.linear.LUDecompositionImpl.Solver
Check if the decomposed matrix is non-singular.
isNonSingular() - Method in class org.apache.commons.math.linear.QRDecompositionImpl.Solver
Check if the decomposed matrix is non-singular.
isNonSingular() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl.Solver
Check if the decomposed matrix is non-singular.
isOptimal(SimplexTableau) - Method in class org.apache.commons.math.optimization.linear.SimplexSolver
Returns whether the problem is at an optimal state.
isPhase1Solved(SimplexTableau) - Method in class org.apache.commons.math.optimization.linear.SimplexSolver
Checks whether Phase 1 is solved.
isPowerOf2(long) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Returns true if the argument is power of 2.
isRootOK(double, double, Complex) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Returns true iff the given complex root is actually a real zero in the given interval, within the solver tolerance level.
isSame(Chromosome) - Method in class org.apache.commons.math.genetics.BinaryChromosome
Returns true iff another has the same representation and therefore the same fitness.
isSame(Chromosome) - Method in class org.apache.commons.math.genetics.Chromosome
Returns true iff another has the same representation and therefore the same fitness.
isSame(Chromosome) - Method in class org.apache.commons.math.genetics.RandomKey
Returns true iff another is a RandomKey and encodes the same permutation.
isSatisfied(Population) - Method in class org.apache.commons.math.genetics.FixedGenerationCount
Determine whether or not the given number of generations have passed.
isSatisfied(Population) - Method in interface org.apache.commons.math.genetics.StoppingCondition
Determine whether or not the given population satisfies the stopping condition.
isSequence(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Returns true if the arguments form a (strictly) increasing sequence
isSingular() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
isSingular() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Is this a singular matrix?
isSingular() - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by the boolean negation of new LUDecompositionImpl(m).getSolver().isNonSingular()
isSquare() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Is this a square matrix?
isSquare() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Is this a square matrix?
isSquare() - Method in interface org.apache.commons.math.linear.AnyMatrix
Is this a square matrix?
isSquare() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Is this a square matrix?
isStrictlyIncreasing(double[]) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Determines if the given array is ordered in a strictly increasing fashion.
isSymmetric(RealMatrix) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Check if a matrix is symmetric.
isUpperBiDiagonal() - Method in class org.apache.commons.math.linear.BiDiagonalTransformer
Check if the matrix is transformed to upper bi-diagonal.
isZero(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Determine if this value is zero.
iterateSimplex(Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Compute the next simplex of the algorithm.
iterateSimplex(Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.MultiDirectional
Compute the next simplex of the algorithm.
iterateSimplex(Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.NelderMead
Compute the next simplex of the algorithm.
iterationCount - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
The last iteration count.
iterations - Variable in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Number of iterations already performed.
iterations - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Number of iterations already performed.
iterations - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Number of iterations already performed.
iterations - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Number of iterations already performed.
iterator() - Method in class org.apache.commons.math.genetics.ListPopulation
Chromosome list iterator
iterator() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Get an iterator over map elements.
iterator() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Get an iterator over map elements.

J

jacNorm - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Norms of the columns of the jacobian matrix.
jacNorm - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Norms of the columns of the jacobian matrix.
jacobian() - Method in interface org.apache.commons.math.analysis.DifferentiableMultivariateVectorialFunction
Returns the jacobian function.
jacobian - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Jacobian matrix.
jacobian() - Method in class org.apache.commons.math.optimization.fitting.CurveFitter.TheoreticalValuesFunction
Returns the jacobian function.
jacobian - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Jacobian matrix.
jacobianEvaluations - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Number of jacobian evaluations.
jacobianEvaluations - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Number of jacobian evaluations.
JDKRandomGenerator - Class in org.apache.commons.math.random
Extension of java.util.Random to implement RandomGenerator.
JDKRandomGenerator() - Constructor for class org.apache.commons.math.random.JDKRandomGenerator
 
jF - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Objective function derivatives.

K

k - Variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Dimension of the data.
k14_01 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 14, element 1.
k14_06 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 14, element 6.
k14_07 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 14, element 7.
k14_08 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 14, element 8.
k14_09 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 14, element 9.
k14_10 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 14, element 10.
k14_11 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 14, element 11.
k14_12 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 14, element 12.
k14_13 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 14, element 13.
k15_01 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 15, element 1.
k15_06 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 15, element 6.
k15_07 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 15, element 7.
k15_08 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 15, element 8.
k15_09 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 15, element 9.
k15_10 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 15, element 10.
k15_11 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 15, element 11.
k15_12 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 15, element 12.
k15_13 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 15, element 13.
k15_14 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 15, element 14.
k16_01 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 1.
k16_06 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 6.
k16_07 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 7.
k16_08 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 8.
k16_09 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 9.
k16_10 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 10.
k16_11 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 11.
k16_12 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 12.
k16_13 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 13.
k16_14 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 14.
k16_15 - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Internal weights for stage 16, element 15.
key() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Get the key of current entry.
key() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Get the key of current entry.
keys - Variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Keys table.
keys - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Keys table.
khi - Variable in class org.apache.commons.math.optimization.direct.MultiDirectional
Expansion coefficient.
khi - Variable in class org.apache.commons.math.optimization.direct.NelderMead
Expansion coefficient.
KMeansPlusPlusClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math.stat.clustering
Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
KMeansPlusPlusClusterer(Random) - Constructor for class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer
Build a clusterer.
knots - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Spline segment interval delimiters (knots).
Kurtosis - Class in org.apache.commons.math.stat.descriptive.moment
Computes the Kurtosis of the available values.
Kurtosis() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Construct a Kurtosis
Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Construct a Kurtosis from an external moment
Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Copy constructor, creates a new Kurtosis identical to the original
kurtosisImpl - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Kurtosis statistic implementation - can be reset by setter.

L

LAGUERRE_COEFFICIENTS - Static variable in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Coefficients for Laguerre polynomials.
LaguerreSolver - Class in org.apache.commons.math.analysis.solvers
Implements the Laguerre's Method for root finding of real coefficient polynomials.
LaguerreSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the LaguerreSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
LaguerreSolver() - Constructor for class org.apache.commons.math.analysis.solvers.LaguerreSolver
Construct a solver.
lanczos - Static variable in class org.apache.commons.math.special.Gamma
Lanczos coefficients
lastDerivatives - Variable in class org.apache.commons.math.ode.sampling.StepNormalizer
Last Derivatives vector.
lastState - Variable in class org.apache.commons.math.ode.sampling.StepNormalizer
Last State vector.
lastTime - Variable in class org.apache.commons.math.ode.sampling.StepNormalizer
Last step time.
lcm(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.
ldlTDecomposition(double, int, int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Decompose the shifted tridiagonal matrix T-λI as LDLT.
LeastSquaresConverter - Class in org.apache.commons.math.optimization
This class converts vectorial objective functions to scalar objective functions when the goal is to minimize them.
LeastSquaresConverter(MultivariateVectorialFunction, double[]) - Constructor for class org.apache.commons.math.optimization.LeastSquaresConverter
Build a simple converter for uncorrelated residuals with the same weight.
LeastSquaresConverter(MultivariateVectorialFunction, double[], double[]) - Constructor for class org.apache.commons.math.optimization.LeastSquaresConverter
Build a simple converter for uncorrelated residuals with the specific weights.
LeastSquaresConverter(MultivariateVectorialFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math.optimization.LeastSquaresConverter
Build a simple converter for correlated residuals with the specific weights.
LEGENDRE_COEFFICIENTS - Static variable in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Coefficients for Legendre polynomials.
LegendreGaussIntegrator - Class in org.apache.commons.math.analysis.integration
Implements the Legendre-Gauss quadrature formula.
LegendreGaussIntegrator(int, int) - Constructor for class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Build a Legendre-Gauss integrator.
LevenbergMarquardtEstimator - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
LevenbergMarquardtEstimator() - Constructor for class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Build an estimator for least squares problems.
LevenbergMarquardtOptimizer - Class in org.apache.commons.math.optimization.general
This class solves a least squares problem using the Levenberg-Marquardt algorithm.
LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Build an optimizer for least squares problems.
LinearConstraint - Class in org.apache.commons.math.optimization.linear
A linear constraint for a linear optimization problem.
LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint
Build a constraint involving a single linear equation.
LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint
Build a constraint involving a single linear equation.
LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint
Build a constraint involving two linear equations.
LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint
Build a constraint involving two linear equations.
LinearObjectiveFunction - Class in org.apache.commons.math.optimization.linear
An objective function for a linear optimization problem.
LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
 
LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
 
LinearOptimizer - Interface in org.apache.commons.math.optimization.linear
This interface represents an optimization algorithm for linear problems.
ListPopulation - Class in org.apache.commons.math.genetics
Population of chromosomes represented by a List.
ListPopulation(List<Chromosome>, int) - Constructor for class org.apache.commons.math.genetics.ListPopulation
Creates a new ListPopulation instance.
ListPopulation(int) - Constructor for class org.apache.commons.math.genetics.ListPopulation
Creates a new ListPopulation instance and initializes its inner chromosome list.
lmDir - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Parameters evolution direction associated with lmPar.
lmDir - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Parameters evolution direction associated with lmPar.
lmPar - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Levenberg-Marquardt parameter.
lmPar - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Levenberg-Marquardt parameter.
load(double[]) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Computes the empirical distribution from the provided array of numbers.
load(File) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Computes the empirical distribution from the input file.
load(URL) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Computes the empirical distribution using data read from a URL.
load(double[]) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Computes the empirical distribution from the provided array of numbers.
load(URL) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Computes the empirical distribution using data read from a URL.
load(File) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Computes the empirical distribution from the input file.
LOAD_FACTOR - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Load factor for the map.
LOAD_FACTOR - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Load factor for the map.
loaded - Variable in class org.apache.commons.math.random.EmpiricalDistributionImpl
is the distribution loaded?
localMin(UnivariateRealFunction, GoalType, double, double, double, double) - Method in class org.apache.commons.math.optimization.univariate.BrentOptimizer
Find the minimum of the function f within the interval (a, b).
locatePoint(double, StepInterpolator) - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Compare a step interval and a double.
LoessInterpolator - Class in org.apache.commons.math.analysis.interpolation
Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.
LoessInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Constructs a new LoessInterpolator with a bandwidth of LoessInterpolator.DEFAULT_BANDWIDTH and LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS robustness iterations.
LoessInterpolator(double, int) - Constructor for class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Constructs a new LoessInterpolator with given bandwidth and number of robustness iterations.
log() - Method in class org.apache.commons.math.complex.Complex
Compute the natural logarithm of this complex number.
log(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the logarithm for base b of x.
logBeta(double, double) - Static method in class org.apache.commons.math.special.Beta
Returns the natural logarithm of the beta function B(a, b).
logBeta(double, double, double, int) - Static method in class org.apache.commons.math.special.Beta
Returns the natural logarithm of the beta function B(a, b).
logGamma(double) - Static method in class org.apache.commons.math.special.Gamma
Returns the natural logarithm of the gamma function Γ(x).
longValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a long.
longValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a long.
lowerSpectra - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Lower bound of spectra.
lTData - Variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Row-oriented storage for LT matrix data.
lTData - Variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl.Solver
Row-oriented storage for LT matrix data.
lu - Variable in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. as of release 2.0, since all methods using this are deprecated
lu - Variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Entries of cached LU decomposition.
lu - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Entries of LU decomposition.
lu - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Entries of LU decomposition.
lu - Variable in class org.apache.commons.math.linear.LUDecompositionImpl
Entries of LU decomposition.
lu - Variable in class org.apache.commons.math.linear.LUDecompositionImpl.Solver
Entries of LU decomposition.
luDecompose() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. as of release 2.0, replaced by LUDecomposition
luDecompose() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Computes a new LU decompostion for this matrix, storing the result for use by other methods.
LUDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the LU-decomposition of a real matrix.
LUDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the LUP-decomposition of a square matrix.
LUDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.LUDecompositionImpl
Calculates the LU-decomposition of the given matrix.
LUDecompositionImpl(RealMatrix, double) - Constructor for class org.apache.commons.math.linear.LUDecompositionImpl
Calculates the LU-decomposition of the given matrix.
LUDecompositionImpl.Solver - Class in org.apache.commons.math.linear
Specialized solver.
LUDecompositionImpl.Solver(double[][], int[], boolean) - Constructor for class org.apache.commons.math.linear.LUDecompositionImpl.Solver
Build a solver from decomposed matrix.

M

m - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Number of rows of the initial matrix.
M - Static variable in class org.apache.commons.math.random.MersenneTwister
Period second parameter.
m1 - Variable in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
First moment of values that have been added
m2 - Variable in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
second moment of values that have been added
m3 - Variable in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
third moment of values that have been added
m4 - Variable in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
fourth moment of values that have been added
MAG01 - Static variable in class org.apache.commons.math.random.MersenneTwister
X * MATRIX_A for X = {0, 1}.
main - Variable in class org.apache.commons.math.linear.BiDiagonalTransformer
Main diagonal.
main - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Main diagonal of the tridiagonal matrix.
main - Variable in class org.apache.commons.math.linear.TriDiagonalTransformer
Main diagonal.
mainBidiagonal - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Main diagonal of the bidiagonal matrix.
mainTridiagonal - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Main diagonal of the tridiagonal matrix.
map - Variable in class org.apache.commons.math.util.TransformerMap
The internal Map.
mapAbs() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.abs(double) function to each entry.
mapAbs() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.abs(double) function to each entry.
mapAbs() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.abs(double) function to each entry.
mapAbsToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.abs(double) function to each entry.
mapAbsToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.abs(double) function to each entry.
mapAbsToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.abs(double) function to each entry.
mapAcos() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.acos(double) function to each entry.
mapAcos() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.acos(double) function to each entry.
mapAcos() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.acos(double) function to each entry.
mapAcosToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.acos(double) function to each entry.
mapAcosToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.acos(double) function to each entry.
mapAcosToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.acos(double) function to each entry.
mapAdd(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map an addition operation to each entry.
mapAdd(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map an addition operation to each entry.
mapAdd(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map an addition operation to each entry.
mapAdd(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map an addition operation to each entry.
mapAdd(double) - Method in interface org.apache.commons.math.linear.RealVector
Map an addition operation to each entry.
mapAdd(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map an addition operation to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map an addition operation to each entry.
mapAddToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map an addition operation to each entry.
mapAddToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector
Map an addition operation to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map an addition operation to each entry.
mapAsin() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.asin(double) function to each entry.
mapAsin() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.asin(double) function to each entry.
mapAsin() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.asin(double) function to each entry.
mapAsinToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.asin(double) function to each entry.
mapAsinToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.asin(double) function to each entry.
mapAsinToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.asin(double) function to each entry.
mapAtan() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.atan(double) function to each entry.
mapAtan() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.atan(double) function to each entry.
mapAtan() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.atan(double) function to each entry.
mapAtanToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.atan(double) function to each entry.
mapAtanToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.atan(double) function to each entry.
mapAtanToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.atan(double) function to each entry.
mapCbrt() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.cbrt(double) function to each entry.
mapCbrt() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.cbrt(double) function to each entry.
mapCbrt() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.cbrt(double) function to each entry.
mapCbrtToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.cbrt(double) function to each entry.
mapCbrtToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.cbrt(double) function to each entry.
mapCbrtToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.cbrt(double) function to each entry.
mapCeil() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.ceil(double) function to each entry.
mapCeil() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.ceil(double) function to each entry.
mapCeil() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.ceil(double) function to each entry.
mapCeilToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.ceil(double) function to each entry.
mapCeilToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.ceil(double) function to each entry.
mapCeilToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.ceil(double) function to each entry.
mapCos() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.cos(double) function to each entry.
mapCos() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.cos(double) function to each entry.
mapCos() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.cos(double) function to each entry.
mapCosh() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.cosh(double) function to each entry.
mapCosh() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.cosh(double) function to each entry.
mapCosh() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.cosh(double) function to each entry.
mapCoshToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.cosh(double) function to each entry.
mapCoshToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.cosh(double) function to each entry.
mapCoshToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.cosh(double) function to each entry.
mapCosToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.cos(double) function to each entry.
mapCosToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.cos(double) function to each entry.
mapCosToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.cos(double) function to each entry.
mapDivide(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a division operation to each entry.
mapDivide(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map a division operation to each entry.
mapDivide(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a division operation to each entry.
mapDivide(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map a division operation to each entry.
mapDivide(double) - Method in interface org.apache.commons.math.linear.RealVector
Map a division operation to each entry.
mapDivide(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a division operation to each entry.
mapDivideToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map a division operation to each entry.
mapDivideToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map a division operation to each entry.
mapDivideToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector
Map a division operation to each entry.
mapDivideToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a division operation to each entry.
mapExp() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.exp(double) function to each entry.
mapExp() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.exp(double) function to each entry.
mapExp() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.exp(double) function to each entry.
mapExpm1() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.expm1(double) function to each entry.
mapExpm1() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.expm1(double) function to each entry.
mapExpm1() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.expm1(double) function to each entry.
mapExpm1ToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.expm1(double) function to each entry.
mapExpm1ToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.expm1(double) function to each entry.
mapExpm1ToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.expm1(double) function to each entry.
mapExpToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.exp(double) function to each entry.
mapExpToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.exp(double) function to each entry.
mapExpToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.exp(double) function to each entry.
mapFloor() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.floor(double) function to each entry.
mapFloor() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.floor(double) function to each entry.
mapFloor() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.floor(double) function to each entry.
mapFloorToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.floor(double) function to each entry.
mapFloorToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.floor(double) function to each entry.
mapFloorToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.floor(double) function to each entry.
mapInv() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map the 1/x function to each entry.
mapInv() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the 1/x function to each entry.
mapInv() - Method in interface org.apache.commons.math.linear.FieldVector
Map the 1/x function to each entry.
mapInv() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the 1/x function to each entry.
mapInv() - Method in interface org.apache.commons.math.linear.RealVector
Map the 1/x function to each entry.
mapInv() - Method in class org.apache.commons.math.linear.SparseFieldVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in interface org.apache.commons.math.linear.FieldVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math.linear.SparseFieldVector
Map the 1/x function to each entry.
mapLog() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.log(double) function to each entry.
mapLog() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.log(double) function to each entry.
mapLog() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.log(double) function to each entry.
mapLog10() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.log10(double) function to each entry.
mapLog10() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.log10(double) function to each entry.
mapLog10() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.log10(double) function to each entry.
mapLog10ToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.log10(double) function to each entry.
mapLog10ToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.log10(double) function to each entry.
mapLog10ToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.log10(double) function to each entry.
mapLog1p() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.log1p(double) function to each entry.
mapLog1p() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.log1p(double) function to each entry.
mapLog1p() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.log1p(double) function to each entry.
mapLog1pToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.log1p(double) function to each entry.
mapLog1pToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.log1p(double) function to each entry.
mapLog1pToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.log1p(double) function to each entry.
mapLogToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.log(double) function to each entry.
mapLogToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.log(double) function to each entry.
mapLogToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.log(double) function to each entry.
mapMultiply(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a multiplication operation to each entry.
mapMultiply(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map a multiplication operation to each entry.
mapMultiply(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a multiplication operation to each entry.
mapMultiply(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map a multiplication operation to each entry.
mapMultiply(double) - Method in interface org.apache.commons.math.linear.RealVector
Map a multiplication operation to each entry.
mapMultiply(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a multiplication operation to each entry.
mapPow(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map a power operation to each entry.
mapPow(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map a power operation to each entry.
mapPow(double) - Method in interface org.apache.commons.math.linear.RealVector
Map a power operation to each entry.
mapPowToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map a power operation to each entry.
mapPowToSelf(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map a power operation to each entry.
mapPowToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector
Map a power operation to each entry.
mapRint() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.rint(double) function to each entry.
mapRint() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.rint(double) function to each entry.
mapRint() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.rint(double) function to each entry.
mapRintToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.rint(double) function to each entry.
mapRintToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.rint(double) function to each entry.
mapRintToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.rint(double) function to each entry.
mapSignum() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.signum(double) function to each entry.
mapSignum() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.signum(double) function to each entry.
mapSignum() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.signum(double) function to each entry.
mapSignumToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.signum(double) function to each entry.
mapSignumToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.signum(double) function to each entry.
mapSignumToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.signum(double) function to each entry.
mapSin() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.sin(double) function to each entry.
mapSin() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.sin(double) function to each entry.
mapSin() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.sin(double) function to each entry.
mapSinh() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.sinh(double) function to each entry.
mapSinh() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.sinh(double) function to each entry.
mapSinh() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.sinh(double) function to each entry.
mapSinhToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.sinh(double) function to each entry.
mapSinhToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.sinh(double) function to each entry.
mapSinhToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.sinh(double) function to each entry.
mapSinToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.sin(double) function to each entry.
mapSinToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.sin(double) function to each entry.
mapSinToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.sin(double) function to each entry.
mapSqrt() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.sqrt(double) function to each entry.
mapSqrt() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.sqrt(double) function to each entry.
mapSqrt() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.sqrt(double) function to each entry.
mapSqrtToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.sqrt(double) function to each entry.
mapSqrtToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.sqrt(double) function to each entry.
mapSqrtToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.sqrt(double) function to each entry.
mapSubtract(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a subtraction operation to each entry.
mapSubtract(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map a subtraction operation to each entry.
mapSubtract(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a subtraction operation to each entry.
mapSubtract(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map a subtraction operation to each entry.
mapSubtract(double) - Method in interface org.apache.commons.math.linear.RealVector
Map a subtraction operation to each entry.
mapSubtract(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a subtraction operation to each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map a subtraction operation to each entry.
mapSubtractToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector
Map a subtraction operation to each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a subtraction operation to each entry.
mapTan() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.tan(double) function to each entry.
mapTan() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.tan(double) function to each entry.
mapTan() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.tan(double) function to each entry.
mapTanh() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.tanh(double) function to each entry.
mapTanh() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.tanh(double) function to each entry.
mapTanh() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.tanh(double) function to each entry.
mapTanhToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.tanh(double) function to each entry.
mapTanhToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.tanh(double) function to each entry.
mapTanhToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.tanh(double) function to each entry.
mapTanToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.tan(double) function to each entry.
mapTanToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.tan(double) function to each entry.
mapTanToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.tan(double) function to each entry.
mapUlp() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.ulp(double) function to each entry.
mapUlp() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.ulp(double) function to each entry.
mapUlp() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.ulp(double) function to each entry.
mapUlpToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.ulp(double) function to each entry.
mapUlpToSelf() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Map the Math.ulp(double) function to each entry.
mapUlpToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Map the Math.ulp(double) function to each entry.
mask - Variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Bit mask for hash values.
mask - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Bit mask for hash values.
MathConfigurationException - Exception in org.apache.commons.math
Signals a configuration problem with any of the factory methods.
MathConfigurationException() - Constructor for exception org.apache.commons.math.MathConfigurationException
Default constructor.
MathConfigurationException(String, Object...) - Constructor for exception org.apache.commons.math.MathConfigurationException
Constructs an exception with specified formatted detail message.
MathConfigurationException(Throwable) - Constructor for exception org.apache.commons.math.MathConfigurationException
Create an exception with a given root cause.
MathConfigurationException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.MathConfigurationException
Constructs an exception with specified formatted detail message and root cause.
MathException - Exception in org.apache.commons.math
Base class for commons-math checked exceptions.
MathException() - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with no detail message.
MathException(String, Object...) - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with specified formatted detail message.
MathException(Throwable) - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with specified nested Throwable root cause.
MathException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with specified formatted detail message and nested Throwable root cause.
MathRuntimeException - Exception in org.apache.commons.math
Base class for commons-math unchecked exceptions.
MathRuntimeException(String, Object...) - Constructor for exception org.apache.commons.math.MathRuntimeException
Constructs a new MathRuntimeException with specified formatted detail message.
MathRuntimeException(Throwable) - Constructor for exception org.apache.commons.math.MathRuntimeException
Constructs a new MathRuntimeException with specified nested Throwable root cause.
MathRuntimeException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.MathRuntimeException
Constructs a new MathRuntimeException with specified formatted detail message and nested Throwable root cause.
MathUtils - Class in org.apache.commons.math.util
Some useful additions to the built-in functions in Math.
MathUtils() - Constructor for class org.apache.commons.math.util.MathUtils
Private Constructor
MatrixIndexException - Exception in org.apache.commons.math.linear
Thrown when an operation addresses a matrix coordinate (row, col) which is outside of the dimensions of a matrix.
MatrixIndexException(String, Object...) - Constructor for exception org.apache.commons.math.linear.MatrixIndexException
Constructs a new instance with specified formatted detail message.
MatrixUtils - Class in org.apache.commons.math.linear
A collection of static methods that operate on or return matrices.
MatrixUtils() - Constructor for class org.apache.commons.math.linear.MatrixUtils
Default constructor.
MatrixUtils.BigFractionMatrixConverter - Class in org.apache.commons.math.linear
Converter for FieldMatrix/BigFraction.
MatrixUtils.BigFractionMatrixConverter() - Constructor for class org.apache.commons.math.linear.MatrixUtils.BigFractionMatrixConverter
Simple constructor.
MatrixUtils.FractionMatrixConverter - Class in org.apache.commons.math.linear
Converter for FieldMatrix/Fraction.
MatrixUtils.FractionMatrixConverter() - Constructor for class org.apache.commons.math.linear.MatrixUtils.FractionMatrixConverter
Simple constructor.
MatrixVisitorException - Exception in org.apache.commons.math.linear
Thrown when a visitor encounters an error while processing a matrix entry.
MatrixVisitorException(String, Object[]) - Constructor for exception org.apache.commons.math.linear.MatrixVisitorException
Constructs a new instance with specified formatted detail message.
Max - Class in org.apache.commons.math.stat.descriptive.rank
Returns the maximum of the available values.
Max() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Max
Create a Max instance
Max(Max) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Max
Copy constructor, creates a new Max identical to the original
max - Variable in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
The maximum value
max - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
max of values that have been added
max - Static variable in class org.apache.commons.math.stat.StatUtils
max
max(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the maximum of the entries in the input array, or Double.NaN if the array is empty.
max(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
maxCheckInterval - Variable in class org.apache.commons.math.ode.events.EventState
Maximal time interval between events handler checks.
maxChecks - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
maximal number of checks for each iteration.
maxCostEval - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Maximal allowed number of cost evaluations.
maxEvaluations - Variable in exception org.apache.commons.math.MaxEvaluationsExceededException
Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math.ode.AbstractIntegrator
Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Maximal number of evaluations allowed.
maxEvaluations - Variable in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Maximal number of evaluations allowed.
MaxEvaluationsExceededException - Exception in org.apache.commons.math
Error thrown when a numerical computation exceeds its allowed number of functions evaluations.
MaxEvaluationsExceededException(int) - Constructor for exception org.apache.commons.math.MaxEvaluationsExceededException
Constructs an exception with specified formatted detail message.
MaxEvaluationsExceededException(int, String, Object...) - Constructor for exception org.apache.commons.math.MaxEvaluationsExceededException
Constructs an exception with specified formatted detail message.
maxGenerations - Variable in class org.apache.commons.math.genetics.FixedGenerationCount
Maximum number of generations (stopping criteria)
maxGrowth - Variable in class org.apache.commons.math.ode.MultistepIntegrator
Maximal growth factor for stepsize control.
maxGrowth - Variable in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Maximal growth factor for stepsize control.
maximalIterationCount - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
Maximum number of iterations.
maxImpl - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Maximum statistic implementation - can be reset by setter.
maxImpl - Variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Maximum statistic implementation - can be reset by setter.
maxImpl - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Maximum statistic implementation - can be reset by setter.
maxIter - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
maximal number of iterations for which checks are performed.
maxIterationCount - Variable in class org.apache.commons.math.ode.events.EventState
Upper limit in the iteration count for event localization.
maxIterations - Variable in exception org.apache.commons.math.MaxIterationsExceededException
Maximal number of iterations allowed.
maxIterations - Variable in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Maximal number of iterations allowed.
maxIterations - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Maximal number of iterations allowed.
maxIterations - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Maximal number of iterations allowed.
maxIterations - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Maximal number of iterations allowed.
maxIterations - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Maximal number of iterations allowed.
maxIterations - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Maximal number of iterations allowed.
maxIterations - Variable in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Maximal number of iterations allowed.
maxIterations - Variable in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Maximal number of iterations allowed.
MaxIterationsExceededException - Exception in org.apache.commons.math
Error thrown when a numerical computation exceeds its allowed number of iterations.
MaxIterationsExceededException(int) - Constructor for exception org.apache.commons.math.MaxIterationsExceededException
Constructs an exception with specified formatted detail message.
MaxIterationsExceededException(int, String, Object...) - Constructor for exception org.apache.commons.math.MaxIterationsExceededException
Constructs an exception with specified formatted detail message.
maxOrder - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
maximal order.
maxStep - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Maximal step.
mdfft(Object, boolean) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Performs a multi-dimensional Fourier transform on a given array.
mdfft(FastFourierTransformer.MultiDimensionalComplexMatrix, boolean, int, int[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Performs one dimension of a multi-dimensional Fourier transform.
mean - Variable in class org.apache.commons.math.distribution.ExponentialDistributionImpl
The mean of this distribution.
mean - Variable in class org.apache.commons.math.distribution.NormalDistributionImpl
The mean of this distribution.
mean - Variable in class org.apache.commons.math.distribution.PoissonDistributionImpl
Holds the Poisson mean for the distribution.
mean - Variable in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Mean vector.
mean - Variable in class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
Mean vector.
Mean - Class in org.apache.commons.math.stat.descriptive.moment
Computes the arithmetic mean of a set of values.
Mean() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Mean
Constructs a Mean.
Mean(FirstMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Mean
Constructs a Mean with an External Moment.
Mean(Mean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Mean
Copy constructor, creates a new Mean identical to the original
mean - Variable in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
The sample mean
mean - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
mean of values that have been added
mean - Static variable in class org.apache.commons.math.stat.StatUtils
mean
mean(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the arithmetic mean of the entries in the input array, or Double.NaN if the array is empty.
mean(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
meanDifference(double[], double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
meanImpl - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Mean statistic implementation - can be reset by setter.
meanImpl - Variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Mean statistic implementation - can be reset by setter.
meanImpl - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Mean statistic implementation - can be reset by setter.
means - Variable in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Means for each component.
measuredValue - Variable in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Value of the measurements.
measurements - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Array of measurements.
measurements - Variable in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Measurements.
median - Variable in class org.apache.commons.math.distribution.CauchyDistributionImpl
The median of this distribution.
Median - Class in org.apache.commons.math.stat.descriptive.rank
Returns the median of the available values.
Median() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Median
Default constructor.
Median(Median) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Median
Copy constructor, creates a new Median identical to the original
MersenneTwister - Class in org.apache.commons.math.random
This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
MersenneTwister() - Constructor for class org.apache.commons.math.random.MersenneTwister
Creates a new random number generator.
MersenneTwister(int) - Constructor for class org.apache.commons.math.random.MersenneTwister
Creates a new random number generator using a single int seed.
MersenneTwister(int[]) - Constructor for class org.apache.commons.math.random.MersenneTwister
Creates a new random number generator using an int array seed.
MersenneTwister(long) - Constructor for class org.apache.commons.math.random.MersenneTwister
Creates a new random number generator using a single long seed.
MessagesResources_fr - Class in org.apache.commons.math
French localization message resources for the commons-math library.
MessagesResources_fr() - Constructor for class org.apache.commons.math.MessagesResources_fr
Simple constructor.
METHOD_NAME - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Integrator method name.
METHOD_NAME - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Integrator method name.
METHOD_NAME - Static variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Integrator method name.
METHOD_NAME - Static variable in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Integrator method name.
midpoint(double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
Compute the midpoint of two values.
MidpointIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
MidpointIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.MidpointIntegrator
Simple constructor.
MidpointStepInterpolator - Class in org.apache.commons.math.ode.nonstiff
This class implements a step interpolator for second order Runge-Kutta integrator.
MidpointStepInterpolator() - Constructor for class org.apache.commons.math.ode.nonstiff.MidpointStepInterpolator
Simple constructor.
MidpointStepInterpolator(MidpointStepInterpolator) - Constructor for class org.apache.commons.math.ode.nonstiff.MidpointStepInterpolator
Copy constructor.
Min - Class in org.apache.commons.math.stat.descriptive.rank
Returns the minimum of the available values.
Min() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Min
Create a Min instance
Min(Min) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Min
Copy constructor, creates a new Min identical to the original
min - Variable in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
The minimum value
min - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
min of values that have been added
min - Static variable in class org.apache.commons.math.stat.StatUtils
min
min(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the minimum of the entries in the input array, or Double.NaN if the array is empty.
min(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
minimalIterationCount - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
minimum number of iterations
minImpl - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Minimum statistic implementation - can be reset by setter.
minImpl - Variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Minimum statistic implementation - can be reset by setter.
minImpl - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Minimum statistic implementation - can be reset by setter.
minPivot - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Minimum pivot in the Sturm sequence.
minReduction - Variable in class org.apache.commons.math.ode.MultistepIntegrator
Minimal reduction factor for stepsize control.
minReduction - Variable in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Minimal reduction factor for stepsize control.
minStep - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Minimal step.
MINUS_I - Static variable in class org.apache.commons.math.geometry.Vector3D
Opposite of the first canonical vector (coordinates: -1, 0, 0).
MINUS_J - Static variable in class org.apache.commons.math.geometry.Vector3D
Opposite of the second canonical vector (coordinates: 0, -1, 0).
MINUS_K - Static variable in class org.apache.commons.math.geometry.Vector3D
Opposite of the third canonical vector (coordinates: 0, 0, -1).
MINUS_ONE - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "-1 / 1".
MINUS_ONE - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "-1 / 1".
missingEntries - Variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Return value for missing entries.
missingEntries - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Return value for missing entries.
mode - Variable in class org.apache.commons.math.random.ValueServer
mode determines how values are generated
moment - Variable in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Fourth Moment on which this statistic is based
moment - Variable in class org.apache.commons.math.stat.descriptive.moment.Mean
First moment on which this statistic is based.
moment - Variable in class org.apache.commons.math.stat.descriptive.moment.Skewness
Third moment on which this statistic is based
moment - Variable in class org.apache.commons.math.stat.descriptive.moment.Variance
SecondMoment is used in incremental calculation of Variance
mt - Variable in class org.apache.commons.math.random.MersenneTwister
Bytes pool.
mti - Variable in class org.apache.commons.math.random.MersenneTwister
Current index in the bytes pool.
mu - Variable in class org.apache.commons.math.random.ValueServer
Mean for use with non-data-driven modes
mudif - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
interpolation order control parameter.
mulAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Multiply two integers, checking for overflow.
mulAndCheck(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Multiply two long integers, checking for overflow.
MullerSolver - Class in org.apache.commons.math.analysis.solvers
Implements the Muller's Method for root finding of real univariate functions.
MullerSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the MullerSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
MullerSolver() - Constructor for class org.apache.commons.math.analysis.solvers.MullerSolver
Construct a solver.
multiDimensionalComplexArray - Variable in class org.apache.commons.math.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
Storage array.
MultiDirectional - Class in org.apache.commons.math.optimization.direct
This class implements the multi-directional direct search method.
MultiDirectional() - Constructor for class org.apache.commons.math.optimization.direct.MultiDirectional
Build a multi-directional optimizer with default coefficients.
MultiDirectional(double, double) - Constructor for class org.apache.commons.math.optimization.direct.MultiDirectional
Build a multi-directional optimizer with specified coefficients.
MultipleLinearRegression - Interface in org.apache.commons.math.stat.regression
The multiple linear regression can be represented in matrix-notation.
MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math.util.ResizableDoubleArray
multiplicative expansion mode
multiply(PolynomialFunction) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Multiply the instance by a polynomial.
multiply(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the product of this complex number and the given complex number.
multiply(double) - Method in class org.apache.commons.math.complex.Complex
Return the product of this complex number and the given scalar number.
multiply(T) - Method in interface org.apache.commons.math.FieldElement
Compute this × a.
multiply(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Multiplies the value of this fraction by the passed BigInteger, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math.fraction.BigFraction
Multiply the value of this fraction by the passed int, returning the result in reduced form.
multiply(long) - Method in class org.apache.commons.math.fraction.BigFraction
Multiply the value of this fraction by the passed long, returning the result in reduced form.
multiply(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math.fraction.Fraction
Multiply the fraction by an integer.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result of postmultiplying this by m.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the result of postmultiplying this by m.
multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the result of postmultiplying this by m.
multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the result of postmultiplying this by m.
multiply(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the result of postmultiplying this by m.
multiply(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of postmultiplying this by m.
multiply(BigMatrixImpl) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of postmultiplying this by m.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the result of postmultiplying this by m.
multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the result of postmultiplying this by m.
multiply(BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the result of postmultiplying this by m.
multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the result of postmultiplying this by m.
multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the result of postmultiplying this by m.
multiply(RealMatrixImpl) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the result of postmultiplying this by m.
multiply(BigReal) - Method in class org.apache.commons.math.util.BigReal
Compute this × a.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Change an entry in the specified row and column.
MultiStartDifferentiableMultivariateRealOptimizer - Class in org.apache.commons.math.optimization
Special implementation of the DifferentiableMultivariateRealOptimizer interface adding multi-start features to an existing optimizer.
MultiStartDifferentiableMultivariateRealOptimizer(DifferentiableMultivariateRealOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Create a multi-start optimizer from a single-start optimizer
MultiStartDifferentiableMultivariateVectorialOptimizer - Class in org.apache.commons.math.optimization
Special implementation of the DifferentiableMultivariateVectorialOptimizer interface adding multi-start features to an existing optimizer.
MultiStartDifferentiableMultivariateVectorialOptimizer(DifferentiableMultivariateVectorialOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Create a multi-start optimizer from a single-start optimizer
MultiStartMultivariateRealOptimizer - Class in org.apache.commons.math.optimization
Special implementation of the MultivariateRealOptimizer interface adding multi-start features to an existing optimizer.
MultiStartMultivariateRealOptimizer(MultivariateRealOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Create a multi-start optimizer from a single-start optimizer
MultiStartUnivariateRealOptimizer - Class in org.apache.commons.math.optimization
Special implementation of the UnivariateRealOptimizer interface adding multi-start features to an existing optimizer.
MultiStartUnivariateRealOptimizer(UnivariateRealOptimizer, int, RandomGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Create a multi-start optimizer from a single-start optimizer
MultistepIntegrator - Class in org.apache.commons.math.ode
This class is the base class for multistep integrators for Ordinary Differential Equations.
MultistepIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.MultistepIntegrator
Build a multistep integrator with the given stepsize bounds.
MultistepIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.MultistepIntegrator
Build a multistep integrator with the given stepsize bounds.
MultistepIntegrator.CountingDifferentialEquations - Class in org.apache.commons.math.ode
Wrapper for differential equations, ensuring start evaluations are counted.
MultistepIntegrator.CountingDifferentialEquations(int) - Constructor for class org.apache.commons.math.ode.MultistepIntegrator.CountingDifferentialEquations
Simple constructor.
MultistepIntegrator.InitializationCompletedMarkerException - Exception in org.apache.commons.math.ode
Marker exception used ONLY to stop the starter integrator after first step.
MultistepIntegrator.InitializationCompletedMarkerException() - Constructor for exception org.apache.commons.math.ode.MultistepIntegrator.InitializationCompletedMarkerException
Simple constructor.
MultistepIntegrator.NordsieckInitializer - Class in org.apache.commons.math.ode
Specialized step handler storing the first step.
MultistepIntegrator.NordsieckInitializer(int) - Constructor for class org.apache.commons.math.ode.MultistepIntegrator.NordsieckInitializer
Simple constructor.
MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math.ode
Transformer used to convert the first step to Nordsieck representation.
MultivariateMatrixFunction - Interface in org.apache.commons.math.analysis
An interface representing a multivariate matrix function.
MultivariateRealFunction - Interface in org.apache.commons.math.analysis
An interface representing a multivariate real function.
MultivariateRealOptimizer - Interface in org.apache.commons.math.optimization
This interface represents an optimization algorithm for scalar objective functions.
MultivariateSummaryStatistics - Class in org.apache.commons.math.stat.descriptive
Computes summary statistics for a stream of n-tuples added using the addValue method.
MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Construct a MultivariateSummaryStatistics instance
MultivariateVectorialFunction - Interface in org.apache.commons.math.analysis
An interface representing a multivariate vectorial function.
mutate(Chromosome) - Method in class org.apache.commons.math.genetics.BinaryMutation
Mutate the given chromosome.
mutate(Chromosome) - Method in interface org.apache.commons.math.genetics.MutationPolicy
Mutate the given chromosome.
mutate(Chromosome) - Method in class org.apache.commons.math.genetics.RandomKeyMutation
Mutate the given chromosome.
mutationPolicy - Variable in class org.apache.commons.math.genetics.GeneticAlgorithm
the mutation policy used by the algorithm.
MutationPolicy - Interface in org.apache.commons.math.genetics
Algorithm used to mutate a chrommosome.
mutationRate - Variable in class org.apache.commons.math.genetics.GeneticAlgorithm
the rate of mutation for the algorithm.

N

n - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Number of spline segments = number of polynomials = number of partition points - 1
n - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Number of columns of the initial matrix.
n - Variable in class org.apache.commons.math.ode.MultistepIntegrator.NordsieckInitializer
Problem dimension.
N - Static variable in class org.apache.commons.math.random.MersenneTwister
Size of the bytes pool.
n - Variable in class org.apache.commons.math.stat.correlation.Covariance
Number of observations (length of covariate vectors)
n - Variable in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Count of values that have been added
n - Variable in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Number of vectors in the sample.
n - Variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Count of values that have been added
n - Variable in class org.apache.commons.math.stat.descriptive.rank.Max
Number of values that have been added
n - Variable in class org.apache.commons.math.stat.descriptive.rank.Min
Number of values that have been added
n - Variable in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
The number of observations in the sample
n - Variable in class org.apache.commons.math.stat.descriptive.summary.Product
The number of values that have been added
n - Variable in class org.apache.commons.math.stat.descriptive.summary.Sum
 
n - Variable in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Number of values that have been added
n - Variable in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
 
n - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
count of values that have been added
n - Variable in class org.apache.commons.math.stat.regression.SimpleRegression
number of observations
name - Variable in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Name of the parameter
name - Variable in class org.apache.commons.math.geometry.RotationOrder
Name of the rotations order.
name - Variable in class org.apache.commons.math.ode.AbstractIntegrator
Name of the method.
NaN - Static variable in class org.apache.commons.math.complex.Complex
A complex number representing "NaN + NaNi"
NaN - Static variable in class org.apache.commons.math.geometry.Vector3D
A vector with all coordinates set to NaN.
NAN_GAP - Static variable in class org.apache.commons.math.util.MathUtils
Gap between NaN and regular numbers.
NaNStrategy - Enum in org.apache.commons.math.stat.ranking
Strategies for handling NaN values in rank transformations.
NaNStrategy() - Constructor for enum org.apache.commons.math.stat.ranking.NaNStrategy
 
nanStrategy - Variable in class org.apache.commons.math.stat.ranking.NaturalRanking
NaN strategy - defaults to NaNs maximal
NaturalRanking - Class in org.apache.commons.math.stat.ranking
Ranking based on the natural ordering on doubles.
NaturalRanking() - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with default strategies for handling ties and NaNs.
NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with the given TiesStrategy.
NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with the given NaNStrategy.
NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with the given NaNStrategy and TiesStrategy.
NaturalRanking(RandomGenerator) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.
NaturalRanking(NaNStrategy, RandomGenerator) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
NaturalRanking.IntDoublePair - Class in org.apache.commons.math.stat.ranking
Represents the position of a double value in an ordering.
NaturalRanking.IntDoublePair(double, int) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking.IntDoublePair
Construct an IntDoublePair with the given value and position.
NB - Static variable in class org.apache.commons.math.util.MathUtils
-1.0 cast as a byte.
nDev - Variable in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Deviation of most recently added value from previous first moment, normalized by previous sample size.
nDevSq - Variable in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Square of deviation of most recently added value from previous first moment, normalized by previous sample size.
negate() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Negate the instance.
negate() - Method in class org.apache.commons.math.complex.Complex
Return the additive inverse of this complex number.
negate() - Method in class org.apache.commons.math.fraction.BigFraction
Return the additive inverse of this fraction, returning the result in reduced form.
negate() - Method in class org.apache.commons.math.fraction.Fraction
Return the additive inverse of this fraction.
negate() - Method in class org.apache.commons.math.geometry.Vector3D
Get the opposite of the instance.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math.geometry.Vector3D
A vector with all coordinates set to negative infinity.
NelderMead - Class in org.apache.commons.math.optimization.direct
This class implements the Nelder-Mead direct search method.
NelderMead() - Constructor for class org.apache.commons.math.optimization.direct.NelderMead
Build a Nelder-Mead optimizer with default coefficients.
NelderMead(double, double, double, double) - Constructor for class org.apache.commons.math.optimization.direct.NelderMead
Build a Nelder-Mead optimizer with specified coefficients.
NevilleInterpolator - Class in org.apache.commons.math.analysis.interpolation
Implements the Neville's Algorithm for interpolation of real univariate functions.
NevilleInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.NevilleInterpolator
 
newBisectionSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new UnivariateRealSolver.
newBisectionSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver.
newBrentSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new UnivariateRealSolver.
newBrentSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver.
newCovarianceData(double[][]) - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Add the covariance data.
newDefaultSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new UnivariateRealSolver.
newDefaultSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver.
newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math.genetics.AbstractListChromosome
Creates a new instance of the same class as this is, with a given arrayRepresentation.
newInstance() - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new factory.
newNewtonSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new UnivariateRealSolver.
newNewtonSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver.
newSampleData(double[], int, int) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Loads model x and y sample data from a flat array of data, overriding any previous sample.
newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Replace sample data, overriding any previous sample.
newSampleData(double[], double[][]) - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Loads model x and y sample data, overriding any previous sample.
newSampleData(double[], int, int) - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Loads model x and y sample data from a flat array of data, overriding any previous sample.
newSecantSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new UnivariateRealSolver.
newSecantSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver.
NewtonSolver - Class in org.apache.commons.math.analysis.solvers
Implements Newton's Method for finding zeros of real univariate functions.
NewtonSolver(DifferentiableUnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.NewtonSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the NewtonSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
NewtonSolver() - Constructor for class org.apache.commons.math.analysis.solvers.NewtonSolver
Construct a solver.
newXSampleData(double[][]) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Loads new x sample data, overriding any previous sample
newXSampleData(double[][]) - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Loads new x sample data, overriding any previous sample
newYSampleData(double[]) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Loads new y sample data, overriding any previous sample
next(int) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math.random.MersenneTwister
Generate next pseudorandom number.
next - Variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Index of next element.
next - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Index of next element.
nextAction - Variable in class org.apache.commons.math.ode.events.EventState
Next action indicator.
nextAfter(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Get the next machine representable number after a number, moving in the direction of another number.
nextBoolean() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBytes(byte[]) - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math.random.RandomAdaptor
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in interface org.apache.commons.math.random.RandomGenerator
Generates random bytes and places them into a user-supplied byte array.
nextDouble() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextExponential(double) - Method in interface org.apache.commons.math.random.RandomData
Generates a random value from the exponential distribution with expected value = mean.
nextExponential(double) - Method in class org.apache.commons.math.random.RandomDataImpl
Returns a random value from an Exponential distribution with the given mean.
nextFloat() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian - Variable in class org.apache.commons.math.random.BitsStreamGenerator
Next gaussian.
nextGaussian() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian(double, double) - Method in interface org.apache.commons.math.random.RandomData
Generates a random value from the Normal (or Gaussian) distribution with the given mean and standard deviation.
nextGaussian(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random value from a Normal (a.k.a.
nextGaussian() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGeneration() - Method in class org.apache.commons.math.genetics.ElitisticListPopulation
Start the population for the next generation.
nextGeneration(Population) - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Evolve the given population into the next generation.
nextGeneration() - Method in interface org.apache.commons.math.genetics.Population
Start the population for the next generation.
nextHexString(int) - Method in interface org.apache.commons.math.random.RandomData
Generates a random string of hex characters of length len.
nextHexString(int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random string of hex characters of length len.
nextInt() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math.random.RandomAdaptor
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt(int, int) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random integer between lower and upper (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random int value uniformly distributed between lower and upper, inclusive.
nextInt() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in interface org.apache.commons.math.random.RandomGenerator
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong(long, long) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random long integer between lower and upper (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random long value uniformly distributed between lower and upper, inclusive.
nextLong() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextNormalizedDouble() - Method in class org.apache.commons.math.random.GaussianRandomGenerator
Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in interface org.apache.commons.math.random.NormalizedRandomGenerator
Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in class org.apache.commons.math.random.UniformRandomGenerator
Generate a random scalar with null mean and unit standard deviation.
nextPermutation(int, int) - Method in interface org.apache.commons.math.random.RandomData
Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0 through n-1 (inclusive).
nextPermutation(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0 through n-1 (inclusive).
nextPoisson(double) - Method in interface org.apache.commons.math.random.RandomData
Generates a random value from the Poisson distribution with the given mean.
nextPoisson(double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the Poisson distribution with the given mean.
nextPowerOfTwo(int) - Static method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Find the smallest power of two greater than the input value
nextPowerOfTwo(int) - Static method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Find the smallest power of two greater than the input value
nextSample(Collection<?>, int) - Method in interface org.apache.commons.math.random.RandomData
Returns an array of k objects selected randomly from the Collection c.
nextSample(Collection<?>, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Uses a 2-cycle permutation shuffle to generate a random permutation.
nextSecureHexString(int) - Method in interface org.apache.commons.math.random.RandomData
Generates a random string of hex characters from a secure random sequence.
nextSecureHexString(int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random string of hex characters from a secure random sequence.
nextSecureInt(int, int) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence.
nextSecureInt(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random int value uniformly distributed between lower and upper, inclusive.
nextSecureLong(long, long) - Method in interface org.apache.commons.math.random.RandomData
Generates a random long integer between lower and upper (endpoints included).
nextSecureLong(long, long) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random long value uniformly distributed between lower and upper, inclusive.
nextUniform(double, double) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random value from the open interval (lower,upper) (i.e., endpoints excluded).
nextUniform(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a uniformly distributed random value from the open interval (lower,upper) (i.e., endpoints excluded).
nextVector() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Generate a correlated random vector.
nextVector() - Method in interface org.apache.commons.math.random.RandomVectorGenerator
Generate a random vector.
nextVector() - Method in class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
Generate an uncorrelated random vector.
nObs - Variable in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
number of observations
NoFeasibleSolutionException - Exception in org.apache.commons.math.optimization.linear
This class represents exceptions thrown by optimizers when no solution fulfills the constraints.
NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math.optimization.linear.NoFeasibleSolutionException
Simple constructor using a default message.
NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math.optimization.general
Non-linear conjugate gradient optimizer.
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula) - Constructor for class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Simple constructor with default settings.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math.optimization.general
Default identity preconditioner.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
 
NonLinearConjugateGradientOptimizer.LineSearchFunction - Class in org.apache.commons.math.optimization.general
Internal class for line search.
NonLinearConjugateGradientOptimizer.LineSearchFunction(double[]) - Constructor for class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
Simple constructor.
nonSingular - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl.Solver
Singularity indicator.
NonSquareMatrixException - Exception in org.apache.commons.math.linear
Thrown when an operation defined only for square matrices is applied to non-square ones.
NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math.linear.NonSquareMatrixException
Construct an exception with the given message.
nordsieck - Variable in class org.apache.commons.math.ode.MultistepIntegrator
Nordsieck matrix of the higher scaled derivatives.
nordsieck - Variable in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Nordsieck vector.
NordsieckStepInterpolator - Class in org.apache.commons.math.ode.sampling
This class implements an interpolator for integrators using Nordsieck representation.
NordsieckStepInterpolator() - Constructor for class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Simple constructor.
NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Copy constructor.
normal - Variable in class org.apache.commons.math.distribution.PoissonDistributionImpl
Distribution used to compute normal approximation.
normalApproximateProbability(int) - Method in interface org.apache.commons.math.distribution.PoissonDistribution
Calculates the Poisson distribution function using a normal approximation.
normalApproximateProbability(int) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Calculates the Poisson distribution function using a normal approximation.
NormalDistribution - Interface in org.apache.commons.math.distribution
Normal (Gauss) Distribution.
NormalDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of NormalDistribution.
NormalDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.NormalDistributionImpl
Create a normal distribution using the given mean and standard deviation.
NormalDistributionImpl() - Constructor for class org.apache.commons.math.distribution.NormalDistributionImpl
Creates normal distribution with the mean equal to zero and standard deviation equal to one.
normalize() - Method in class org.apache.commons.math.geometry.Vector3D
Get a normalized vector aligned with the instance.
normalize(LinearConstraint) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Get a new equation equivalent to this one with a positive right hand side.
normalizeAngle(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Normalize an angle in a 2&pi wide interval around a center value.
normalized - Variable in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Storage for the normalized vector.
NormalizedRandomGenerator - Interface in org.apache.commons.math.random
This interface represent a normalized random generator for scalars.
NotARotationMatrixException - Exception in org.apache.commons.math.geometry
This class represents exceptions thrown while building rotations from matrices.
NotARotationMatrixException(String, Object...) - Constructor for exception org.apache.commons.math.geometry.NotARotationMatrixException
Simple constructor.
NotPositiveDefiniteMatrixException - Exception in org.apache.commons.math.linear
This class represents exceptions thrown when a matrix expected to be positive definite is not.
NotPositiveDefiniteMatrixException() - Constructor for exception org.apache.commons.math.linear.NotPositiveDefiniteMatrixException
Simple constructor.
NotSymmetricMatrixException - Exception in org.apache.commons.math.linear
This class represents exceptions thrown when a matrix expected to be symmetric is not
NotSymmetricMatrixException() - Constructor for exception org.apache.commons.math.linear.NotSymmetricMatrixException
Simple constructor.
NS - Static variable in class org.apache.commons.math.util.MathUtils
-1.0 cast as a short.
nSteps - Variable in class org.apache.commons.math.ode.MultistepIntegrator
Number of steps of the multistep method (excluding the one being computed).
nthRoot(int) - Method in class org.apache.commons.math.complex.Complex
Computes the n-th roots of this complex number.
numArtificialVariables - Variable in class org.apache.commons.math.optimization.linear.SimplexTableau
Number of artificial variables.
numberOfElements - Variable in class org.apache.commons.math.distribution.ZipfDistributionImpl
Number of elements.
numberOfSuccesses - Variable in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
The number of successes in the population.
numberOfSuccesses - Variable in class org.apache.commons.math.distribution.PascalDistributionImpl
The number of successes
numberOfTrials - Variable in class org.apache.commons.math.distribution.BinomialDistributionImpl
The number of trials.
NumberTransformer - Interface in org.apache.commons.math.util
Subclasses implementing this interface can transform Objects to doubles.
numDecisionVariables - Variable in class org.apache.commons.math.optimization.linear.SimplexTableau
Number of decision variables.
numElements - Variable in class org.apache.commons.math.util.ResizableDoubleArray
The number of addressable elements in the array.
numerator - Variable in class org.apache.commons.math.fraction.BigFraction
The numerator.
numerator - Variable in class org.apache.commons.math.fraction.Fraction
The numerator.
numeratorDegreesOfFreedom - Variable in class org.apache.commons.math.distribution.FDistributionImpl
The numerator degrees of freedom
numeratorFormat - Variable in class org.apache.commons.math.fraction.AbstractFormat
The format used for the numerator.
numGenerations - Variable in class org.apache.commons.math.genetics.FixedGenerationCount
Number of generations that have passed
numSlackVariables - Variable in class org.apache.commons.math.optimization.linear.SimplexTableau
Number of slack variables.

O

objective - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Current objective function value.
objectiveEvaluations - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Number of evaluations already performed.
observations - Variable in class org.apache.commons.math.optimization.fitting.CurveFitter
Observed points.
observations - Variable in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Sampled observations.
observations - Variable in class org.apache.commons.math.optimization.LeastSquaresConverter
Observations to be compared to objective function to compute residuals.
ODEIntegrator - Interface in org.apache.commons.math.ode
This interface defines the common parts shared by integrators for first and second order differential equations.
OLSMultipleLinearRegression - Class in org.apache.commons.math.stat.regression
Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
 
omega - Variable in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Guessed pulsation ω.
omega - Variable in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Pulsation ω.
Omega - Variable in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Covariance matrix.
omegaCount - Variable in class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Number of roots of unity.
omegaImaginaryForward - Variable in class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Imaginary part of the roots for forward transform.
omegaImaginaryInverse - Variable in class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Imaginary part of the roots for reverse transform.
OmegaInverse - Variable in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Inverse of covariance matrix.
omegaReal - Variable in class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Real part of the roots.
ONE - Static variable in class org.apache.commons.math.complex.Complex
A complex number representing "1.0 + 0.0i"
ONE - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "1".
ONE - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "1".
ONE - Static variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. BigDecimal 1
ONE - Static variable in class org.apache.commons.math.util.BigReal
A big real representing 1.
ONE_FIFTH - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "1/5".
ONE_FIFTH - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "1/5".
ONE_HALF - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "1/2".
ONE_HALF - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "1/2".
ONE_HUNDRED_DOUBLE - Static variable in class org.apache.commons.math.fraction.BigFraction
BigInteger representation of 100.
ONE_QUARTER - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "1/4".
ONE_QUARTER - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "1/4".
ONE_THIRD - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "1/3".
ONE_THIRD - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "1/3".
OnePointCrossover<T> - Class in org.apache.commons.math.genetics
One point crossover policy.
OnePointCrossover() - Constructor for class org.apache.commons.math.genetics.OnePointCrossover
 
OneWayAnova - Interface in org.apache.commons.math.stat.inference
An interface for one-way ANOVA (analysis of variance).
oneWayAnova - Static variable in class org.apache.commons.math.stat.inference.TestUtils
Singleton OneWayAnova instance using default implementation.
oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
OneWayAnovaImpl - Class in org.apache.commons.math.stat.inference
Implements one-way ANOVA statistics defined in the OneWayAnovaImpl interface.
OneWayAnovaImpl() - Constructor for class org.apache.commons.math.stat.inference.OneWayAnovaImpl
Default constructor.
OneWayAnovaImpl.AnovaStats - Class in org.apache.commons.math.stat.inference
Convenience class to pass dfbg,dfwg,F values around within AnovaImpl.
OneWayAnovaImpl.AnovaStats(int, int, double) - Constructor for class org.apache.commons.math.stat.inference.OneWayAnovaImpl.AnovaStats
Constructor
oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
OpenIntToDoubleHashMap - Class in org.apache.commons.math.util
Open addressed map from int to double.
OpenIntToDoubleHashMap() - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap
Build an empty map with default size and using NaN for missing entries.
OpenIntToDoubleHashMap(double) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap
Build an empty map with default size
OpenIntToDoubleHashMap(int) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap
Build an empty map with specified size and using NaN for missing entries.
OpenIntToDoubleHashMap(int, double) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap
Build an empty map with specified size.
OpenIntToDoubleHashMap(OpenIntToDoubleHashMap) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap
Copy constructor.
OpenIntToDoubleHashMap.Iterator - Class in org.apache.commons.math.util
Iterator class for the map.
OpenIntToDoubleHashMap.Iterator() - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Simple constructor.
OpenIntToFieldHashMap<T extends FieldElement<T>> - Class in org.apache.commons.math.util
Open addressed map from int to FieldElement.
OpenIntToFieldHashMap(Field<T>) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap
Build an empty map with default size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, T) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap
Build an empty map with default size
OpenIntToFieldHashMap(Field<T>, int) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap
Build an empty map with specified size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, int, T) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap
Build an empty map with specified size.
OpenIntToFieldHashMap(OpenIntToFieldHashMap<T>) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap
Copy constructor.
OpenIntToFieldHashMap.Iterator - Class in org.apache.commons.math.util
Iterator class for the map.
OpenIntToFieldHashMap.Iterator() - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Simple constructor.
OpenMapRealMatrix - Class in org.apache.commons.math.linear
Sparse matrix implementation based on an open addressed map.
OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.OpenMapRealMatrix
Build a sparse matrix with the supplied row and column dimensions.
OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math.linear.OpenMapRealMatrix
Build a matrix by copying another one.
OpenMapRealVector - Class in org.apache.commons.math.linear
This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store.
OpenMapRealVector() - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Build a 0-length vector.
OpenMapRealVector(int) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Construct a (dimension)-length vector of zeros.
OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Construct a (dimension)-length vector of zeros, specifying zero tolerance.
OpenMapRealVector(OpenMapRealVector, int) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Build a resized vector, for use with append.
OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Build a vector with known the sparseness (for advanced use only).
OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Build a vector with known the sparseness and zero tolerance setting (for advanced use only).
OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Create from a double array.
OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Create from a double array, specifying zero tolerance.
OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Create from a Double array.
OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Create from a Double array.
OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Copy constructor.
OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Generic copy constructor.
operate(T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result of multiplying this by the vector v.
operate(FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result of multiplying this by the vector v.
operate(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result of multiplying this by the vector v.
operate(T[]) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the result of multiplying this by the vector v.
operate(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the result of multiplying this by the vector v.
operate(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of multiplying this by the vector v.
operate(T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the result of multiplying this by the vector v.
operate(T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result of multiplying this by the vector v.
operate(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of multiplying this by the vector v.
operate(RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the result of multiplying this by the vector v.
oppositeRelationship() - Method in enum org.apache.commons.math.optimization.linear.Relationship
Get the relationship obtained when multiplying all coefficients by -1.
optima - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Found optima.
optima - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Found optima.
optima - Variable in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Found optima.
optima - Variable in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Found optima.
optimalStep - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
optimal steps for each order.
optimaValues - Variable in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Found function values at optima.
OptimizationException - Exception in org.apache.commons.math.optimization
This class represents exceptions thrown by optimizers.
OptimizationException(String, Object...) - Constructor for exception org.apache.commons.math.optimization.OptimizationException
Simple constructor.
OptimizationException(Throwable) - Constructor for exception org.apache.commons.math.optimization.OptimizationException
Create an exception with a given root cause.
optimize(DifferentiableMultivariateRealFunction, GoalType, double[]) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Optimizes an objective function.
optimize(DifferentiableMultivariateVectorialFunction, double[], double[], double[]) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Optimizes an objective function.
optimize(MultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Optimizes an objective function.
optimize(DifferentiableMultivariateVectorialFunction, double[], double[], double[]) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Optimizes an objective function.
optimize(DifferentiableMultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Optimizes an objective function.
optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Optimizes an objective function.
optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer
Optimizes an objective function.
optimize(DifferentiableMultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Optimizes an objective function.
optimize(DifferentiableMultivariateVectorialFunction, double[], double[], double[]) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Optimizes an objective function.
optimize(MultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Optimizes an objective function.
optimize(UnivariateRealFunction, GoalType, double, double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Find an optimum in the given interval.
optimize(UnivariateRealFunction, GoalType, double, double, double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Find an optimum in the given interval, start at startValue.
optimize(MultivariateRealFunction, GoalType, double[]) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Optimizes an objective function.
optimize(UnivariateRealFunction, GoalType, double, double, double) - Method in class org.apache.commons.math.optimization.univariate.BrentOptimizer
Find an optimum in the given interval, start at startValue.
optimize(UnivariateRealFunction, GoalType, double, double) - Method in class org.apache.commons.math.optimization.univariate.BrentOptimizer
Find an optimum in the given interval.
optimize(UnivariateRealFunction, GoalType, double, double) - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Find an optimum in the given interval.
optimize(UnivariateRealFunction, GoalType, double, double, double) - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Find an optimum in the given interval, start at startValue.
optimizer - Variable in class org.apache.commons.math.optimization.fitting.CurveFitter
Optimizer to use for the fitting.
optimizer - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Underlying classical optimizer.
optimizer - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Underlying classical optimizer.
optimizer - Variable in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Underlying classical optimizer.
optimizer - Variable in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Underlying classical optimizer.
orderControl1 - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
first order control factor.
orderControl2 - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
second order control factor.
org.apache.commons.math - package org.apache.commons.math
Common classes used throughout the commons-math library.
org.apache.commons.math.analysis - package org.apache.commons.math.analysis
Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
org.apache.commons.math.analysis.integration - package org.apache.commons.math.analysis.integration
Numerical integration (quadrature) algorithms for univariate real functions.
org.apache.commons.math.analysis.interpolation - package org.apache.commons.math.analysis.interpolation
Univariate real functions interpolation algorithms.
org.apache.commons.math.analysis.polynomials - package org.apache.commons.math.analysis.polynomials
Univariate real polynomials implementations, seen as differentiable univariate real functions.
org.apache.commons.math.analysis.solvers - package org.apache.commons.math.analysis.solvers
Root finding algorithms, for univariate real functions.
org.apache.commons.math.complex - package org.apache.commons.math.complex
Complex number type and implementations of complex transcendental functions.
org.apache.commons.math.distribution - package org.apache.commons.math.distribution
Implementations of common discrete and continuous distributions.
org.apache.commons.math.estimation - package org.apache.commons.math.estimation
This package provided classes to solve estimation problems, it is deprecated since 2.0.
org.apache.commons.math.fraction - package org.apache.commons.math.fraction
Fraction number type and fraction number formatting.
org.apache.commons.math.genetics - package org.apache.commons.math.genetics
This package provides Genetic Algorithms components and implementations.
org.apache.commons.math.geometry - package org.apache.commons.math.geometry
This package provides basic 3D geometry components.
org.apache.commons.math.linear - package org.apache.commons.math.linear
Linear algebra support.
org.apache.commons.math.ode - package org.apache.commons.math.ode
This package provides classes to solve Ordinary Differential Equations problems.
org.apache.commons.math.ode.events - package org.apache.commons.math.ode.events
This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.
org.apache.commons.math.ode.nonstiff - package org.apache.commons.math.ode.nonstiff
This package provides classes to solve non-stiff Ordinary Differential Equations problems.
org.apache.commons.math.ode.sampling - package org.apache.commons.math.ode.sampling
This package provides classes to handle sampling steps during Ordinary Differential Equations integration.
org.apache.commons.math.optimization - package org.apache.commons.math.optimization
This package provides common interfaces for the optimization algorithms provided in sub-packages.
org.apache.commons.math.optimization.direct - package org.apache.commons.math.optimization.direct
This package provides optimization algorithms that don't require derivatives.
org.apache.commons.math.optimization.fitting - package org.apache.commons.math.optimization.fitting
This package provides classes to perform curve fitting.
org.apache.commons.math.optimization.general - package org.apache.commons.math.optimization.general
This package provides optimization algorithms that require derivatives.
org.apache.commons.math.optimization.linear - package org.apache.commons.math.optimization.linear
This package provides optimization algorithms for linear constrained problems.
org.apache.commons.math.optimization.univariate - package org.apache.commons.math.optimization.univariate
Univariate real functions minimum finding algorithms.
org.apache.commons.math.random - package org.apache.commons.math.random
Random number and random data generators.
org.apache.commons.math.special - package org.apache.commons.math.special
Implementations of special functions such as Beta and Gamma.
org.apache.commons.math.stat - package org.apache.commons.math.stat
Data storage, manipulation and summary routines.
org.apache.commons.math.stat.clustering - package org.apache.commons.math.stat.clustering
Clustering algorithms
org.apache.commons.math.stat.correlation - package org.apache.commons.math.stat.correlation
Correlations/Covariance computations.
org.apache.commons.math.stat.descriptive - package org.apache.commons.math.stat.descriptive
Generic univariate summary statistic objects.
org.apache.commons.math.stat.descriptive.moment - package org.apache.commons.math.stat.descriptive.moment
Summary statistics based on moments.
org.apache.commons.math.stat.descriptive.rank - package org.apache.commons.math.stat.descriptive.rank
Summary statistics based on ranks.
org.apache.commons.math.stat.descriptive.summary - package org.apache.commons.math.stat.descriptive.summary
Other summary statistics.
org.apache.commons.math.stat.inference - package org.apache.commons.math.stat.inference
Classes providing hypothesis testing and confidence interval construction.
org.apache.commons.math.stat.ranking - package org.apache.commons.math.stat.ranking
Classes providing rank transformations.
org.apache.commons.math.stat.regression - package org.apache.commons.math.stat.regression
Statistical routines involving multivariate data.
org.apache.commons.math.transform - package org.apache.commons.math.transform
Implementations of transform methods, including Fast Fourier transforms.
org.apache.commons.math.util - package org.apache.commons.math.util
Convenience routines and common data structures used throughout the commons-math library.
orthogonal() - Method in class org.apache.commons.math.geometry.Vector3D
Get a vector orthogonal to the instance.
orthogonalizeMatrix(double[][], double) - Method in class org.apache.commons.math.geometry.Rotation
Perfect orthogonality on a 3X3 matrix.
orthoTolerance - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Desired max cosine on the orthogonality between the function vector and the columns of the jacobian.
orthoTolerance - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Desired max cosine on the orthogonality between the function vector and the columns of the jacobian.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the outer product.
outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the outer product.
outerProduct(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the outer product.
outerProduct(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the outer product.
outerProduct(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the outer product.
outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the outer product.
outerProduct(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the outer product.
outerproduct(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the outer product.
outerProduct(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the outer product.
outerProduct(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Compute the outer product.
outerProduct(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Compute the outer product.
outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Optimized method to compute outer product when both vectors are sparse.
outerProduct(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the outer product.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the outer product.

P

p - Variable in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. as of 2.0 the function is not stored anymore in the instance
pairedT(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
pairedT(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a paired, 2-sample t-statistic based on the data in the input arrays.
pairedT(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a paired, 2-sample t-statistic based on the data in the input arrays.
pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
pairedTTest(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
pairedTTest(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
pairedTTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.
pairedTTest(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
pairedTTest(double[], double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.
parameters - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Array of parameters.
parameters - Variable in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Estimated parameters.
parameters - Variable in class org.apache.commons.math.optimization.fitting.HarmonicFitter
Values for amplitude, pulsation ω and phase φ.
ParametricRealFunction - Interface in org.apache.commons.math.optimization.fitting
An interface representing a real function that depends on one independent variable plus some extra parameters.
parity - Variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Parity of the permutation associated with the LU decomposition
parRelativeTolerance - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Desired relative error in the approximate solution parameters.
parRelativeTolerance - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Desired relative error in the approximate solution parameters.
parse(String) - Method in class org.apache.commons.math.complex.ComplexFormat
Parses a string to produce a Complex object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.complex.ComplexFormat
Parses a string to produce a Complex object.
parse(String) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Parses a string to produce a BigFraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Parses a string to produce a BigFraction object.
parse(String) - Method in class org.apache.commons.math.fraction.FractionFormat
Parses a string to produce a Fraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.FractionFormat
Parses a string to produce a Fraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat
Parses a string to produce a BigFraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.ProperFractionFormat
Parses a string to produce a Fraction object.
parse(String) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Parses a string to produce a Vector3D object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Parses a string to produce a Vector3D object.
parse(String) - Method in class org.apache.commons.math.linear.RealVectorFormat
Parses a string to produce a RealVector object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.linear.RealVectorFormat
Parses a string to produce a RealVector object.
parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math.fraction.AbstractFormat
Parses source until a non-whitespace character is found.
parseAndIgnoreWhitespace(String, ParsePosition) - Method in class org.apache.commons.math.util.CompositeFormat
Parses source until a non-whitespace character is found.
parseFixedstring(String, String, ParsePosition) - Method in class org.apache.commons.math.util.CompositeFormat
Parse source for an expected fixed string.
parseNextBigInteger(String, ParsePosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Parses a string to produce a BigInteger.
parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math.fraction.AbstractFormat
Parses source until a non-whitespace character is found.
parseNextCharacter(String, ParsePosition) - Method in class org.apache.commons.math.util.CompositeFormat
Parses source until a non-whitespace character is found.
parseNumber(String, double, ParsePosition) - Method in class org.apache.commons.math.util.CompositeFormat
Parses source for special double values.
parseNumber(String, NumberFormat, ParsePosition) - Method in class org.apache.commons.math.util.CompositeFormat
Parses source for a number.
parseObject(String, ParsePosition) - Method in class org.apache.commons.math.complex.ComplexFormat
Parses a string to produce a object.
parseObject(String, ParsePosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Parses a string to produce a object.
parseObject(String, ParsePosition) - Method in class org.apache.commons.math.linear.RealVectorFormat
Parses a string to produce a object.
partialDerivative(int) - Method in interface org.apache.commons.math.analysis.DifferentiableMultivariateRealFunction
Returns the partial derivative of the function with respect to a point coordinate.
PascalDistribution - Interface in org.apache.commons.math.distribution
The Pascal distribution.
PascalDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of PascalDistribution.
PascalDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.PascalDistributionImpl
Create a binomial distribution with the given number of trials and probability of success.
pattern - Variable in exception org.apache.commons.math.MathException
Pattern used to build the message.
pattern - Variable in exception org.apache.commons.math.MathRuntimeException
Pattern used to build the message.
PB - Static variable in class org.apache.commons.math.util.MathUtils
1.0 cast as a byte.
PearsonsCorrelation - Class in org.apache.commons.math.stat.correlation
Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.
PearsonsCorrelation() - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation instance without data
PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.
PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a Covariance.
PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a covariance matrix.
pendingEvent - Variable in class org.apache.commons.math.ode.events.EventState
Indicator of event expected during the step.
pendingEventTime - Variable in class org.apache.commons.math.ode.events.EventState
Occurrence time of the pending event.
percentageValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction percentage as a double.
Percentile - Class in org.apache.commons.math.stat.descriptive.rank
Provides percentile computation.
Percentile() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Percentile
Constructs a Percentile with a default quantile value of 50.0.
Percentile(double) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Percentile
Constructs a Percentile with the specific quantile value.
Percentile(Percentile) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Percentile
Copy constructor, creates a new Percentile identical to the original
percentile - Static variable in class org.apache.commons.math.stat.StatUtils
percentile
percentile(double[], double) - Static method in class org.apache.commons.math.stat.StatUtils
Returns an estimate of the pth percentile of the values in the values array.
percentile(double[], int, int, double) - Static method in class org.apache.commons.math.stat.StatUtils
Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
percentileImpl - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Percentile statistic implementation - can be reset by setter.
performTest - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
stability check enabling parameter.
permutation - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Columns permutation array.
permutation - Variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Permutation associated with LU decomposition
permutation - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Columns permutation array.
PermutationChromosome<T> - Interface in org.apache.commons.math.genetics
Interface indicating that the chromosome represents a permutation of objects.
perturb(int) - Static method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Perturb the hash for starting probing.
perturb(int) - Static method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Perturb the hash for starting probing.
PERTURB_SHIFT - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Number of bits to perturb the index when probing for collision resolution.
PERTURB_SHIFT - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Number of bits to perturb the index when probing for collision resolution.
phi - Variable in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Guessed phase φ.
phi - Variable in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Phase φ.
pingPong - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Shift within qd array for ping-pong implementation.
pivot - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Pivot permutation associated with LU decomposition
pivot - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Pivot permutation associated with LU decomposition.
pivot - Variable in class org.apache.commons.math.linear.LUDecompositionImpl
Pivot permutation associated with LU decomposition
pivot - Variable in class org.apache.commons.math.linear.LUDecompositionImpl.Solver
Pivot permutation associated with LU decomposition.
PLUS_I - Static variable in class org.apache.commons.math.geometry.Vector3D
First canonical vector (coordinates: 1, 0, 0).
PLUS_J - Static variable in class org.apache.commons.math.geometry.Vector3D
Second canonical vector (coordinates: 0, 1, 0).
PLUS_K - Static variable in class org.apache.commons.math.geometry.Vector3D
Third canonical vector (coordinates: 0, 0, 1).
point - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Current point.
point - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Current point set.
point - Variable in class org.apache.commons.math.optimization.RealPointValuePair
Point coordinates.
point - Variable in class org.apache.commons.math.optimization.VectorialPointValuePair
Point coordinates.
point - Variable in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Point coordinates.
points - Variable in class org.apache.commons.math.stat.clustering.Cluster
The points contained in this cluster.
PoissonDistribution - Interface in org.apache.commons.math.distribution
Interface representing the Poisson Distribution.
PoissonDistributionImpl - Class in org.apache.commons.math.distribution
Implementation for the PoissonDistribution.
PoissonDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl
Create a new Poisson distribution with the given the mean.
PoissonDistributionImpl(double, NormalDistribution) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl
Create a new Poisson distribution with the given the mean.
polar2Complex(double, double) - Static method in class org.apache.commons.math.complex.ComplexUtils
Creates a complex number from the given polar representation.
polynomialDerivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns the derivative as a PolynomialRealFunction
PolynomialFitter - Class in org.apache.commons.math.optimization.fitting
This class implements a curve fitting specialized for polynomials.
PolynomialFitter(int, DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.PolynomialFitter
Simple constructor.
PolynomialFitter.ParametricPolynomial - Class in org.apache.commons.math.optimization.fitting
Dedicated parametric polynomial class.
PolynomialFitter.ParametricPolynomial() - Constructor for class org.apache.commons.math.optimization.fitting.PolynomialFitter.ParametricPolynomial
 
PolynomialFunction - Class in org.apache.commons.math.analysis.polynomials
Immutable representation of a real polynomial function with real coefficients.
PolynomialFunction(double[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Construct a polynomial with the given coefficients.
PolynomialFunctionLagrangeForm - Class in org.apache.commons.math.analysis.polynomials
Implements the representation of a real polynomial function in Lagrange Form.
PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Construct a Lagrange polynomial with the given abscissas and function values.
PolynomialFunctionNewtonForm - Class in org.apache.commons.math.analysis.polynomials
Implements the representation of a real polynomial function in Newton Form.
PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Construct a Newton polynomial with the given a[] and c[].
polynomials - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
The polynomial functions that make up the spline.
polynomialSplineDerivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns the derivative of the polynomial spline function as a PolynomialSplineFunction
PolynomialSplineFunction - Class in org.apache.commons.math.analysis.polynomials
Represents a polynomial spline function.
PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.
PolynomialsUtils - Class in org.apache.commons.math.analysis.polynomials
A collection of static methods that operate on or return polynomials.
PolynomialsUtils() - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Private constructor, to prevent instantiation.
PolynomialsUtils.RecurrenceCoefficientsGenerator - Interface in org.apache.commons.math.analysis.polynomials
Interface for recurrence coefficients generation.
polynoms - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Interpolation polynoms.
Population - Interface in org.apache.commons.math.genetics
A collection of chromosomes that facilitates generational evolution.
populationLimit - Variable in class org.apache.commons.math.genetics.ListPopulation
maximial size of the population
populationSize - Variable in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
The population size.
position - Variable in class org.apache.commons.math.stat.ranking.NaturalRanking.IntDoublePair
Original position of the pair
POSITIVE_INFINITY - Static variable in class org.apache.commons.math.geometry.Vector3D
A vector with all coordinates set to positive infinity.
pow(Complex) - Method in class org.apache.commons.math.complex.Complex
Returns of value of this complex number raised to the power of x.
pow(int) - Method in class org.apache.commons.math.fraction.BigFraction
Returns a integer whose value is (thisexponent), returning the result in reduced form.
pow(long) - Method in class org.apache.commons.math.fraction.BigFraction
Returns a BigFraction whose value is (thisexponent), returning the result in reduced form.
pow(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Returns a BigFraction whose value is (thisexponent), returning the result in reduced form.
pow(double) - Method in class org.apache.commons.math.fraction.BigFraction
Returns a double whose value is (thisexponent), returning the result in reduced form.
pow(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Raise an int to an int power.
pow(int, long) - Static method in class org.apache.commons.math.util.MathUtils
Raise an int to a long power.
pow(long, int) - Static method in class org.apache.commons.math.util.MathUtils
Raise a long to an int power.
pow(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Raise a long to a long power.
pow(BigInteger, int) - Static method in class org.apache.commons.math.util.MathUtils
Raise a BigInteger to an int power.
pow(BigInteger, long) - Static method in class org.apache.commons.math.util.MathUtils
Raise a BigInteger to a long power.
pow(BigInteger, BigInteger) - Static method in class org.apache.commons.math.util.MathUtils
Raise a BigInteger to a BigInteger power.
precondition(double[], double[]) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
Precondition a search direction.
precondition(double[], double[]) - Method in interface org.apache.commons.math.optimization.general.Preconditioner
Precondition a search direction.
preconditioner - Variable in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Preconditioner (may be null).
Preconditioner - Interface in org.apache.commons.math.optimization.general
This interface represents a preconditioner for differentiable scalar objective function optimizers.
predict(double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the "predicted" y value associated with the supplied x value, based on the data that has been added to the model when this method is activated.
prefix - Variable in class org.apache.commons.math.geometry.Vector3DFormat
Prefix.
prefix - Variable in class org.apache.commons.math.linear.RealVectorFormat
Prefix.
preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result premultiplying this by m.
preMultiply(T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result premultiplying this by m.
preMultiply(double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(T[]) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the result premultiplying this by m.
preMultiply(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result premultiplying this by m.
preMultiply(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result premultiplying this by m.
preMultiply(T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result premultiplying this by m.
preMultiply(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the (row) vector result of premultiplying this by the vector v.
previous - Variable in class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator.Corrector
Previous state.
previousEventTime - Variable in class org.apache.commons.math.ode.events.EventState
Occurrence time of the previous event.
previousTime - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
previous time
printStackTrace() - Method in exception org.apache.commons.math.MathException
Prints the stack trace of this exception to the standard error stream.
printStackTrace(PrintStream) - Method in exception org.apache.commons.math.MathException
Prints the stack trace of this exception to the specified stream.
printStackTrace() - Method in exception org.apache.commons.math.MathRuntimeException
Prints the stack trace of this exception to the standard error stream.
printStackTrace(PrintStream) - Method in exception org.apache.commons.math.MathRuntimeException
Prints the stack trace of this exception to the specified stream.
probability(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
For this distribution, X, this method returns P(X = x).
probability(double) - Method in interface org.apache.commons.math.distribution.DiscreteDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this distribution, X, this method returns P(X = x).
probability(int, int, int, int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For the distribution, X, defined by the given hypergeometric distribution parameters, this method returns P(X = x).
probability(int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
For this distribution, X, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
The probability mass function P(X = x) for a Poisson distribution.
probability(int) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
The probability mass function P(X = x) for a Zipf distribution.
probabilityOfSuccess - Variable in class org.apache.commons.math.distribution.BinomialDistributionImpl
The probability of success.
probabilityOfSuccess - Variable in class org.apache.commons.math.distribution.PascalDistributionImpl
The probability of success
probe(int, int) - Static method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Compute next probe for collision resolution
probe(int, int) - Static method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Compute next probe for collision resolution
process1RowBlock(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Find eigenvalue in a block with 1 row.
process2RowsBlock(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Find realEigenvalues in a block with 2 rows.
process3RowsBlock(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Find realEigenvalues in a block with 3 rows.
processGeneralBlock(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Find realEigenvalues using dqd/dqds algorithms.
prod - Static variable in class org.apache.commons.math.stat.StatUtils
prod
Product - Class in org.apache.commons.math.stat.descriptive.summary
Returns the product of the available values.
Product() - Constructor for class org.apache.commons.math.stat.descriptive.summary.Product
Create a Product instance
Product(Product) - Constructor for class org.apache.commons.math.stat.descriptive.summary.Product
Copy constructor, creates a new Product identical to the original
product(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the product of the entries in the input array, or Double.NaN if the array is empty.
product(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
productsSums - Variable in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Sums of products for each component.
progressiveQuotientDifferenceWithShift(double[], double[], double) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Decompose matrix LDLT - λ I as U-D-U-T.
projection(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Find the orthogonal projection of this vector onto another vector.
projection(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Find the orthogonal projection of this vector onto another vector.
projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Find the orthogonal projection of this vector onto another vector.
projection(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Find the orthogonal projection of this vector onto another vector.
projection(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Find the orthogonal projection of this vector onto another vector.
projection(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Find the orthogonal projection of this vector onto another vector.
projection(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Find the orthogonal projection of this vector onto another vector.
projection(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Find the orthogonal projection of this vector onto another vector.
projection(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Find the orthogonal projection of this vector onto another vector.
projection(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Find the orthogonal projection of this vector onto another vector.
projection(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Find the orthogonal projection of this vector onto another vector.
projection(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Find the orthogonal projection of this vector onto another vector.
ProperBigFractionFormat - Class in org.apache.commons.math.fraction
Formats a BigFraction number in proper format.
ProperBigFractionFormat() - Constructor for class org.apache.commons.math.fraction.ProperBigFractionFormat
Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperBigFractionFormat
Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperBigFractionFormat
Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
ProperFractionFormat - Class in org.apache.commons.math.fraction
Formats a Fraction number in proper format.
ProperFractionFormat() - Constructor for class org.apache.commons.math.fraction.ProperFractionFormat
Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperFractionFormat
Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperFractionFormat
Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
prototype - Variable in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Prototype of the step interpolator.
prototype - Variable in class org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator
Prototype of the step interpolator.
PS - Static variable in class org.apache.commons.math.util.MathUtils
1.0 cast as a short.
put(int, double) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Put a value associated with a key in the map.
put(int, T) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Put a value associated with a key in the map.
putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math.util.TransformerMap
Sets a Class to Transformer Mapping in the Map.

Q

q0 - Variable in class org.apache.commons.math.geometry.Rotation
Scalar coordinate of the quaternion.
q1 - Variable in class org.apache.commons.math.geometry.Rotation
First coordinate of the vectorial part of the quaternion.
q2 - Variable in class org.apache.commons.math.geometry.Rotation
Second coordinate of the vectorial part of the quaternion.
q3 - Variable in class org.apache.commons.math.geometry.Rotation
Third coordinate of the vectorial part of the quaternion.
qMax - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Max value of diagonal elements in current segment.
qr - Variable in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Cached QR decomposition of X matrix
qrDecomposition() - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Decompose a matrix A as A.P = Q.R using Householder transforms.
QRDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the QR-decomposition of a real matrix.
qrDecomposition() - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Decompose a matrix A as A.P = Q.R using Householder transforms.
QRDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the QR-decomposition of a matrix.
QRDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.QRDecompositionImpl
Calculates the QR-decomposition of the given matrix.
QRDecompositionImpl.Solver - Class in org.apache.commons.math.linear
Specialized solver.
QRDecompositionImpl.Solver(double[][], double[]) - Constructor for class org.apache.commons.math.linear.QRDecompositionImpl.Solver
Build a solver from decomposed matrix.
qrt - Variable in class org.apache.commons.math.linear.QRDecompositionImpl
A packed TRANSPOSED representation of the QR decomposition.
qrt - Variable in class org.apache.commons.math.linear.QRDecompositionImpl.Solver
A packed TRANSPOSED representation of the QR decomposition.
qTy(double[]) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Compute the product Qt.y for some Q.R.
qTy(double[]) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Compute the product Qt.y for some Q.R.
quantile - Variable in class org.apache.commons.math.stat.descriptive.rank.Percentile
Determines what percentile is computed when evaluate() is activated with no quantile argument

R

rand - Variable in class org.apache.commons.math.random.RandomDataImpl
underlying random number generator
random - Variable in class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer
Random generator for choosing initial centers.
RandomAdaptor - Class in org.apache.commons.math.random
Extension of java.util.Random wrapping a RandomGenerator.
RandomAdaptor() - Constructor for class org.apache.commons.math.random.RandomAdaptor
Prevent instantiation without a generator argument
RandomAdaptor(RandomGenerator) - Constructor for class org.apache.commons.math.random.RandomAdaptor
Construct a RandomAdaptor wrapping the supplied RandomGenerator.
randomBinaryRepresentation(int) - Static method in class org.apache.commons.math.genetics.BinaryChromosome
Returns a representation of a random binary array of length length.
randomData - Variable in class org.apache.commons.math.random.EmpiricalDistributionImpl
RandomData instance to use in repeated calls to getNext()
RandomData - Interface in org.apache.commons.math.random
Random data generation utilities.
randomData - Variable in class org.apache.commons.math.random.ValueServer
RandomDataImpl to use for random data generation
randomData - Variable in class org.apache.commons.math.stat.ranking.NaturalRanking
Source of random data - used only when ties strategy is RANDOM
RandomDataImpl - Class in org.apache.commons.math.random
Implements the RandomData interface using a RandomGenerator instance to generate non-secure data and a SecureRandom instance to provide data for the nextSecureXxx methods.
RandomDataImpl() - Constructor for class org.apache.commons.math.random.RandomDataImpl
Construct a RandomDataImpl.
RandomDataImpl(RandomGenerator) - Constructor for class org.apache.commons.math.random.RandomDataImpl
Construct a RandomDataImpl using the supplied RandomGenerator as the source of (non-secure) random data.
randomGenerator - Static variable in class org.apache.commons.math.genetics.GeneticAlgorithm
Static random number generator shared by GA implementation classes.
randomGenerator - Variable in class org.apache.commons.math.random.RandomAdaptor
Wrapped randomGenerator instance
RandomGenerator - Interface in org.apache.commons.math.random
Interface extracted from java.util.Random.
RandomKey<T> - Class in org.apache.commons.math.genetics
Random Key chromosome is used for permutation representation.
RandomKey(List<Double>) - Constructor for class org.apache.commons.math.genetics.RandomKey
Constructor.
RandomKey(Double[]) - Constructor for class org.apache.commons.math.genetics.RandomKey
Constructor.
RandomKeyMutation - Class in org.apache.commons.math.genetics
Mutation operator for RandomKeys.
RandomKeyMutation() - Constructor for class org.apache.commons.math.genetics.RandomKeyMutation
 
randomPermutation(int) - Static method in class org.apache.commons.math.genetics.RandomKey
Generates a representation corresponding to a random permutation of length l which can be passed to the RandomKey constructor.
RandomVectorGenerator - Interface in org.apache.commons.math.random
This interface represents a random generator for whole vectors.
rank - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Rank of the jacobian matrix.
rank - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Rank of the jacobian matrix.
rank - Variable in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Rank of the covariance matrix.
rank(double[]) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Rank data using the natural ordering on Doubles, with NaN values handled according to nanStrategy and ties resolved using tiesStrategy.
rank(double[]) - Method in interface org.apache.commons.math.stat.ranking.RankingAlgorithm
Performs a rank transformation on the input data, returning an array of ranks.
rankCorrelation - Variable in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Rank correlation
rankingAlgorithm - Variable in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Ranking algorithm
RankingAlgorithm - Interface in org.apache.commons.math.stat.ranking
Interface representing a rank transformation.
rankTransform(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Applies rank transform to each of the columns of matrix using the current rankingAlgorithm
rDiag - Variable in class org.apache.commons.math.linear.QRDecompositionImpl
The diagonal elements of R.
rDiag - Variable in class org.apache.commons.math.linear.QRDecompositionImpl.Solver
The diagonal elements of R.
readBaseExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Read the base state of the instance.
readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.nonstiff.RungeKuttaStepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Read the instance from an input channel.
readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
readObject(ObjectInputStream) - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
Deserialize the instance.
readObject(ObjectInputStream) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Deserialize the instance.
readObject(ObjectInputStream) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Deserialize the instance.
readObject(ObjectInputStream) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Read a serialized object.
readObject(ObjectInputStream) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Read a serialized object.
readResolve() - Method in class org.apache.commons.math.complex.Complex
Resolve the transient fields in a deserialized Complex Object.
readResolve() - Method in class org.apache.commons.math.complex.ComplexField
Handle deserialization of the singleton.
readResolve() - Method in class org.apache.commons.math.fraction.BigFractionField
Handle deserialization of the singleton.
readResolve() - Method in class org.apache.commons.math.fraction.FractionField
Handle deserialization of the singleton.
readResolve() - Method in class org.apache.commons.math.util.BigRealField
Handle deserialization of the singleton.
real - Variable in class org.apache.commons.math.complex.Complex
The real part
RealConvergenceChecker - Interface in org.apache.commons.math.optimization
This interface specifies how to check if an optimization algorithm has converged.
realEigenvalues - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Real part of the realEigenvalues.
realEigenvalues - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl.Solver
Real part of the realEigenvalues.
realFormat - Variable in class org.apache.commons.math.complex.ComplexFormat
The format used for the real part.
RealMatrix - Interface in org.apache.commons.math.linear
Interface defining a real-valued matrix with basic algebraic operations.
RealMatrixChangingVisitor - Interface in org.apache.commons.math.linear
Interface defining a visitor for matrix entries.
RealMatrixImpl - Class in org.apache.commons.math.linear
Deprecated. as of 2.0 replaced by Array2DRowRealMatrix
RealMatrixImpl() - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Creates a matrix with no data
RealMatrixImpl(int, int) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Create a new RealMatrix with the supplied row and column dimensions.
RealMatrixImpl(double[][]) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Create a new RealMatrix using the input array as the underlying data array.
RealMatrixImpl(double[][], boolean) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Create a new RealMatrix using the input array as the underlying data array.
RealMatrixImpl(double[]) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Create a new (column) RealMatrix using v as the data for the unique column of the v.length x 1 matrix created.
RealMatrixPreservingVisitor - Interface in org.apache.commons.math.linear
Interface defining a visitor for matrix entries.
RealPointValuePair - Class in org.apache.commons.math.optimization
This class holds a point and the value of an objective function at this point.
RealPointValuePair(double[], double) - Constructor for class org.apache.commons.math.optimization.RealPointValuePair
Build a point/objective function value pair.
RealPointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math.optimization.RealPointValuePair
Build a point/objective function value pair.
RealTransformer - Interface in org.apache.commons.math.transform
Interface for one-dimensional data sets transformations producing real results.
RealVector - Interface in org.apache.commons.math.linear
Interface defining a real-valued vector with basic algebraic operations.
RealVectorFormat - Class in org.apache.commons.math.linear
Formats a vector in components list format "{v0; v1; ...; vk-1}".
RealVectorFormat() - Constructor for class org.apache.commons.math.linear.RealVectorFormat
Create an instance with default settings.
RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math.linear.RealVectorFormat
Create an instance with a custom number format for components.
RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math.linear.RealVectorFormat
Create an instance with custom prefix, suffix and separator.
RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math.linear.RealVectorFormat
Create an instance with custom prefix, suffix, separator and format for components.
reciprocal() - Method in class org.apache.commons.math.fraction.BigFraction
Return the multiplicative inverse of this fraction.
reciprocal() - Method in class org.apache.commons.math.fraction.Fraction
Return the multiplicative inverse of this fraction.
recodeNaNs(NaturalRanking.IntDoublePair[], double) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Recodes NaN values to the given value.
recomputeZ() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Recompute the normalization factor.
reduce() - Method in class org.apache.commons.math.fraction.BigFraction
Reduce this BigFraction to its lowest terms.
referenceCount - Variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Reference modification count.
referenceCount - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Reference modification count.
referenceTime - Variable in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Reference time for all arrays.
regularizedBeta(double, double, double) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedGammaP(double, double) - Static method in class org.apache.commons.math.special.Gamma
Returns the regularized gamma function P(a, x).
regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math.special.Gamma
Returns the regularized gamma function P(a, x).
regularizedGammaQ(double, double) - Static method in class org.apache.commons.math.special.Gamma
Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
regularizedGammaQ(double, double, double, int) - Static method in class org.apache.commons.math.special.Gamma
Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
reinitialize(AbstractIntegrator, double[], double[][], boolean) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Reinitialize the instance
reinitialize(AbstractIntegrator, double[], double[][], boolean) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Reinitialize the instance
reinitialize(AbstractIntegrator, double[], double[][], boolean) - Method in class org.apache.commons.math.ode.nonstiff.RungeKuttaStepInterpolator
Reinitialize the instance
reinitialize(double[], boolean) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Reinitialize the instance
reinitialize(double[], boolean) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Reinitialize the instance.
reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Reinitialize the instance.
reinitializeBegin(double, double[]) - Method in class org.apache.commons.math.ode.events.EventState
Reinitialize the beginning of the step.
relationship - Variable in class org.apache.commons.math.optimization.linear.LinearConstraint
Relationship between left and right hand sides (=, <=, >=).
Relationship - Enum in org.apache.commons.math.optimization.linear
Types of relationships between two cells in a Solver LinearConstraint.
Relationship(String) - Constructor for enum org.apache.commons.math.optimization.linear.Relationship
Simple constructor.
relativeAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
Maximum relative error.
relativeThreshold - Variable in class org.apache.commons.math.optimization.SimpleRealPointChecker
Relative tolerance threshold.
relativeThreshold - Variable in class org.apache.commons.math.optimization.SimpleScalarValueChecker
Relative tolerance threshold.
relativeThreshold - Variable in class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Relative tolerance threshold.
relativeThreshold - Variable in class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Relative tolerance threshold.
remove(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Remove the value associated with a key.
remove(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Remove the value associated with a key.
REMOVED - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Status indicator for removed table entries.
REMOVED - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Status indicator for removed table entries.
removeData(double, double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Removes the observation (x,y) from the regression data set.
removeData(double[][]) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Removes observations represented by the elements in data.
removeMostRecentValue() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Removes the most recent value from the dataset.
removeNaNs(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Returns an array that is a copy of the input array with IntDoublePairs having NaN values removed.
removeTransformer(Class<?>) - Method in class org.apache.commons.math.util.TransformerMap
Removes a Class to Transformer Mapping in the Map.
replaceMostRecentValue(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Replaces the most recently stored value with the given value.
replaceWorstPoint(RealPointValuePair, Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Replace the worst point of the simplex by a new point.
REPLAY_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Replay data from valuesFilePath
representation - Variable in class org.apache.commons.math.genetics.AbstractListChromosome
List representing the chromosome
requiresDenseOutput() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Check if one of the step handlers requires dense output.
requiresDenseOutput() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Determines whether this handler needs dense output.
requiresDenseOutput() - Method in class org.apache.commons.math.ode.MultistepIntegrator.NordsieckInitializer
Determines whether this handler needs dense output.
requiresDenseOutput() - Method in class org.apache.commons.math.ode.sampling.DummyStepHandler
Determines whether this handler needs dense output.
requiresDenseOutput() - Method in interface org.apache.commons.math.ode.sampling.StepHandler
Determines whether this handler needs dense output.
requiresDenseOutput() - Method in class org.apache.commons.math.ode.sampling.StepNormalizer
Determines whether this handler needs dense output.
rescale(double[], double[], double[]) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Update scaling array.
rescale(double) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Rescale the instance.
reSeed(long) - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the random number generator with the supplied seed.
reSeed() - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the random number generator with the current time in milliseconds.
reSeedSecure() - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the secure random number generator with the current time in milliseconds.
reSeedSecure(long) - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the secure random number generator with the supplied seed.
reset() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Reset the step handler.
reset(double, double[]) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Let the event handlers reset the state if they want.
reset(double, double[]) - Method in class org.apache.commons.math.ode.events.EventState
Let the event handler reset the state if it wants.
reset() - Method in class org.apache.commons.math.ode.MultistepIntegrator.NordsieckInitializer
Reset the step handler.
reset() - Method in class org.apache.commons.math.ode.sampling.DummyStepHandler
Reset the step handler.
reset() - Method in interface org.apache.commons.math.ode.sampling.StepHandler
Reset the step handler.
reset() - Method in class org.apache.commons.math.ode.sampling.StepNormalizer
Reset the step handler.
RESET_DERIVATIVES - Static variable in interface org.apache.commons.math.ode.events.EventHandler
Reset derivatives indicator.
RESET_STATE - Static variable in interface org.apache.commons.math.ode.events.EventHandler
Reset state indicator.
resetAbsoluteAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Reset the absolute accuracy to the default.
resetAbsoluteAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Reset the absolute accuracy to the default.
resetAbsoluteAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Reset the absolute accuracy to the default.
resetEvaluations() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Reset the number of evaluations to zero.
resetFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Reset the actual function accuracy to the default.
resetFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Reset the actual function accuracy to the default.
resetInternalState() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Reset internal state to dummy values.
resetMaximalIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Reset the upper limit for the number of iterations to the default.
resetMaximalIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Reset the upper limit for the number of iterations to the default.
resetMaximalIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Reset the upper limit for the number of iterations to the default.
resetMinimalIterationCount() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Reset the lower limit for the number of iterations to the default.
resetMinimalIterationCount() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Reset the lower limit for the number of iterations to the default.
resetRelativeAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Reset the relative accuracy to the default.
resetRelativeAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Reset the relative accuracy to the default.
resetRelativeAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Reset the relative accuracy to the default.
resetReplayFile() - Method in class org.apache.commons.math.random.ValueServer
Resets REPLAY_MODE file pointer to the beginning of the valuesFileURL.
resetState(double, double[]) - Method in class org.apache.commons.math.ode.AbstractIntegrator.EndTimeChecker
Reset the state prior to continue the integration.
resetState(double, double[]) - Method in interface org.apache.commons.math.ode.events.EventHandler
Reset the state prior to continue the integration.
resetTables(int) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Reallocate the internal tables.
residuals - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Residuals array.
residuals - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Current residuals.
ResizableDoubleArray - Class in org.apache.commons.math.util
A variable length DoubleArray implementation that automatically handles expanding and contracting its internal storage array as elements are added and removed.
ResizableDoubleArray() - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray with default properties.
ResizableDoubleArray(int) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray with the specified initial capacity.
ResizableDoubleArray(int, float) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray with the specified initial capacity and expansion factor.
ResizableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray with the specified initialCapacity, expansionFactor, and contractionCriteria.
ResizableDoubleArray(int, float, float, int) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray with the specified properties.
ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Copy constructor.
RESIZE_MULTIPLIER - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Multiplier for size growth when map fills up.
RESIZE_MULTIPLIER - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Multiplier for size growth when map fills up.
resolveTie(double[], List<Integer>) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Resolve a sequence of ties, using the configured TiesStrategy.
restoreNaNs(double[], List<Integer>) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Set ranks[i] = Double.NaN for each i in nanPositions.
restrictToNonNegative - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Whether to restrict the variables to non-negative values.
restrictToNonNegative - Variable in class org.apache.commons.math.optimization.linear.SimplexTableau
Whether to restrict the variables to non-negative values.
result - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
the last computed integral
result - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
The last computed root.
result - Variable in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
The last computed root.
resultComputed - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
indicates whether an integral has been computed
resultComputed - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Indicates where a root has been computed.
resultComputed - Variable in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Indicates where a root has been computed.
revert() - Method in class org.apache.commons.math.geometry.Rotation
Revert a rotation.
rho - Variable in class org.apache.commons.math.optimization.direct.NelderMead
Reflection coefficient.
RiddersSolver - Class in org.apache.commons.math.analysis.solvers
Implements the Ridders' Method for root finding of real univariate functions.
RiddersSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.RiddersSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the RiddersSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
RiddersSolver() - Constructor for class org.apache.commons.math.analysis.solvers.RiddersSolver
Construct a solver.
robustnessIters - Variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
The number of robustness iterations parameter: this many robustness iterations are done.
RombergIntegrator - Class in org.apache.commons.math.analysis.integration
Implements the Romberg Algorithm for integration of real univariate functions.
RombergIntegrator(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.integration.RombergIntegrator
Deprecated. as of 2.0 the integrand function is passed as an argument to the RombergIntegrator.integrate(UnivariateRealFunction, double, double)method.
RombergIntegrator() - Constructor for class org.apache.commons.math.analysis.integration.RombergIntegrator
Construct an integrator.
root - Variable in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Permutated Cholesky root of the covariance matrix.
roots - Variable in class org.apache.commons.math.transform.FastFourierTransformer
roots of unity
Rotation - Class in org.apache.commons.math.geometry
This class implements rotations in a three-dimensional space.
Rotation(double, double, double, double, boolean) - Constructor for class org.apache.commons.math.geometry.Rotation
Build a rotation from the quaternion coordinates.
Rotation(Vector3D, double) - Constructor for class org.apache.commons.math.geometry.Rotation
Build a rotation from an axis and an angle.
Rotation(double[][], double) - Constructor for class org.apache.commons.math.geometry.Rotation
Build a rotation from a 3X3 matrix.
Rotation(Vector3D, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math.geometry.Rotation
Build the rotation that transforms a pair of vector into another pair.
Rotation(Vector3D, Vector3D) - Constructor for class org.apache.commons.math.geometry.Rotation
Build one of the rotations that transform one vector into another one.
Rotation(RotationOrder, double, double, double) - Constructor for class org.apache.commons.math.geometry.Rotation
Build a rotation from three Cardan or Euler elementary rotations.
RotationOrder - Class in org.apache.commons.math.geometry
This class is a utility representing a rotation order specification for Cardan or Euler angles specification.
RotationOrder(String, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math.geometry.RotationOrder
Private constructor.
round(double, int) - Static method in class org.apache.commons.math.util.MathUtils
Round the given value to the specified number of decimal places.
round(double, int, int) - Static method in class org.apache.commons.math.util.MathUtils
Round the given value to the specified number of decimal places.
round(float, int) - Static method in class org.apache.commons.math.util.MathUtils
Round the given value to the specified number of decimal places.
round(float, int, int) - Static method in class org.apache.commons.math.util.MathUtils
Round the given value to the specified number of decimal places.
roundingMode - Variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Rounding mode for divisions
roundUnscaled(double, double, int) - Static method in class org.apache.commons.math.util.MathUtils
Round the given non-negative, value to the "nearest" integer.
rowDimension - Variable in class org.apache.commons.math.linear.OpenMapRealMatrix
Number of rows of the matrix.
rowDimension - Variable in class org.apache.commons.math.linear.SparseFieldMatrix
row dimension
rows - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Number of rows of the jacobian matrix.
rows - Variable in class org.apache.commons.math.linear.BlockFieldMatrix
Number of rows of the matrix.
rows - Variable in class org.apache.commons.math.linear.BlockRealMatrix
Number of rows of the matrix.
rows - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Number of rows of the jacobian matrix.
RungeKuttaIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
RungeKuttaIntegrator(String, double[], double[][], double[], RungeKuttaStepInterpolator, double) - Constructor for class org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator
Simple constructor.
RungeKuttaStepInterpolator - Class in org.apache.commons.math.ode.nonstiff
This class represents an interpolator over the last step during an ODE integration for Runge-Kutta and embedded Runge-Kutta integrators.
RungeKuttaStepInterpolator() - Constructor for class org.apache.commons.math.ode.nonstiff.RungeKuttaStepInterpolator
Simple constructor.
RungeKuttaStepInterpolator(RungeKuttaStepInterpolator) - Constructor for class org.apache.commons.math.ode.nonstiff.RungeKuttaStepInterpolator
Copy constructor.

S

s - Variable in class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Intermediate result.
S_LIMIT - Static variable in class org.apache.commons.math.special.Gamma
S limit
SAFE_MIN - Static variable in class org.apache.commons.math.util.MathUtils
Safe minimum, such that 1 / SAFE_MIN does not overflow.
safety - Variable in class org.apache.commons.math.ode.MultistepIntegrator
Safety factor for stepsize control.
safety - Variable in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Safety factor for stepsize control.
sample(UnivariateRealFunction, double, double, int) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Sample the given univariate real function on the given interval.
sampleSize - Variable in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
The sample size.
sampleStats - Variable in class org.apache.commons.math.random.EmpiricalDistributionImpl
Sample statistics
sanityChecks(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Perform some sanity checks on the integration parameters.
sanityChecks(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Perform some sanity checks on the integration parameters.
scalAbsoluteTolerance - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Allowed absolute scalar error.
scalarAdd(T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result of adding d to each entry of this.
scalarAdd(double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result of adding d to each entry of this.
scalarAdd(BigDecimal) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the result of adding d to each entry of this.
scalarAdd(BigDecimal) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of adding d to each entry of this.
scalarAdd(T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the result of adding d to each entry of this.
scalarAdd(double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the result of adding d to each entry of this.
scalarAdd(T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result of adding d to each entry of this.
scalarAdd(double) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of adding d to each entry of this.
scalarMultiply(double) - Method in class org.apache.commons.math.geometry.Vector3D
Multiply the instance by a scalar
scalarMultiply(T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(BigDecimal) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the result multiplying each entry of this by d.
scalarMultiply(BigDecimal) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of multiplying each entry of this by d
scalarMultiply(T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(double) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result multiplying each entry of this by d.
scalb(double, int) - Static method in class org.apache.commons.math.util.MathUtils
Scale a number by 2scaleFactor.
scale - Variable in class org.apache.commons.math.distribution.CauchyDistributionImpl
The scale of this distribution.
scale - Variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. BigDecimal scale
scale - Variable in class org.apache.commons.math.optimization.LeastSquaresConverter
Optional scaling matrix (weight and correlations) for the residuals.
scaleArray(double[], double) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Multiply every component in the given real array by the given real number.
scaleArray(Complex[], double) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Multiply every component in the given complex array by the given real number.
scaled - Variable in class org.apache.commons.math.ode.MultistepIntegrator
First scaled derivative (h y').
scaled - Variable in class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator.Corrector
Current scaled first derivative.
scaled - Variable in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
First scaled derivative.
scalingH - Variable in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Step size used in the first scaled derivative and Nordsieck vector.
scalRelativeTolerance - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Allowed relative scalar error.
searchDirection - Variable in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
Search direction.
searchForFitnessUpdate(Population) - Method in class org.apache.commons.math.genetics.Chromosome
Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.
SecantSolver - Class in org.apache.commons.math.analysis.solvers
Implements a modified version of the secant method for approximating a zero of a real univariate function.
SecantSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.SecantSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the SecantSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
SecantSolver() - Constructor for class org.apache.commons.math.analysis.solvers.SecantSolver
Construct a solver.
second - Variable in class org.apache.commons.math.genetics.ChromosomePair
the second chromosome in the pair.
secondary - Variable in class org.apache.commons.math.linear.BiDiagonalTransformer
Secondary diagonal.
secondary - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Secondary diagonal of the tridiagonal matrix.
secondary - Variable in class org.apache.commons.math.linear.TriDiagonalTransformer
Secondary diagonal.
secondaryBidiagonal - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Secondary diagonal of the bidiagonal matrix.
secondaryTridiagonal - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Secondary diagonal of the tridiagonal matrix.
SecondMoment - Class in org.apache.commons.math.stat.descriptive.moment
Computes a statistic related to the Second Central Moment.
SecondMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Create a SecondMoment instance
SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Copy constructor, creates a new SecondMoment identical to the original
secondMoment - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
SecondMoment is used to compute the mean and variance
SecondOrderDifferentialEquations - Interface in org.apache.commons.math.ode
This interface represents a second order differential equations set.
SecondOrderIntegrator - Interface in org.apache.commons.math.ode
This interface represents a second order integrator for differential equations.
secRand - Variable in class org.apache.commons.math.random.RandomDataImpl
underlying secure random number generator
select(Population) - Method in interface org.apache.commons.math.genetics.SelectionPolicy
Select two chromosomes from the population.
select(Population) - Method in class org.apache.commons.math.genetics.TournamentSelection
Select two chromosomes from the population.
selectionPolicy - Variable in class org.apache.commons.math.genetics.GeneticAlgorithm
the selection policy used by the algorithm.
SelectionPolicy - Interface in org.apache.commons.math.genetics
Algorithm used to select a chromosome pair from a population.
separator - Variable in class org.apache.commons.math.geometry.Vector3DFormat
Separator.
separator - Variable in class org.apache.commons.math.linear.RealVectorFormat
Separator.
sequence - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
step size sequence.
serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils
Serialize a RealMatrix.
serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils
Serialize a RealVector.
serialVersionUID - Static variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator
serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.analysis.interpolation.NevilleInterpolator
serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Serializtion identifier
serialVersionUID - Static variable in class org.apache.commons.math.analysis.solvers.BrentSolver
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.ArgumentOutsideDomainException
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.complex.Complex
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.complex.ComplexField
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.complex.ComplexFormat
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.ConvergenceException
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.DimensionMismatchException
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.AbstractDistribution
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.AbstractIntegerDistribution
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.BetaDistributionImpl
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.distribution.BinomialDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.CauchyDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.FDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.GammaDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.NormalDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.PascalDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.PoissonDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.TDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.WeibullDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.distribution.ZipfDistributionImpl
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.DuplicateSampleAbscissaException
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.estimation.EstimationException
Deprecated. Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.fraction.AbstractFormat
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.fraction.BigFraction
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.fraction.BigFractionField
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.fraction.BigFractionFormat
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.fraction.Fraction
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.fraction.FractionConversionException
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.fraction.FractionField
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.fraction.FractionFormat
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.fraction.ProperBigFractionFormat
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.fraction.ProperFractionFormat
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.FunctionEvaluationException
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.genetics.InvalidRepresentationException
Serialization version id
serialVersionUID - Static variable in exception org.apache.commons.math.geometry.CardanEulerSingularityException
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.geometry.NotARotationMatrixException
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.geometry.Rotation
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.geometry.Vector3D
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.geometry.Vector3DFormat
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.linear.Array2DRowRealMatrix
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.linear.ArrayFieldVector
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.linear.ArrayRealVector
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Serialization id
serialVersionUID - Static variable in class org.apache.commons.math.linear.BlockFieldMatrix
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.linear.BlockRealMatrix
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.linear.InvalidMatrixException
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.linear.MatrixIndexException
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.linear.MatrixVisitorException
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.linear.NonSquareMatrixException
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.linear.NotPositiveDefiniteMatrixException
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.linear.NotSymmetricMatrixException
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.linear.OpenMapRealMatrix
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.linear.OpenMapRealVector
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.linear.RealVectorFormat
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.linear.SingularMatrixException
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.linear.SparseFieldMatrix
Serial id
serialVersionUID - Static variable in class org.apache.commons.math.linear.SparseFieldVector
Serial version id
serialVersionUID - Static variable in exception org.apache.commons.math.MathConfigurationException
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.MathException
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.MathRuntimeException
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.MaxEvaluationsExceededException
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.MaxIterationsExceededException
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.ode.ContinuousOutputModel
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.ode.DerivativeException
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.ode.events.EventException
Serialization UID.
serialVersionUID - Static variable in exception org.apache.commons.math.ode.IntegratorException
Serializable version identifier
serialVersionUID - Static variable in exception org.apache.commons.math.ode.MultistepIntegrator.InitializationCompletedMarkerException
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.ode.nonstiff.EulerStepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.ode.nonstiff.GillStepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.ode.nonstiff.HighamHall54StepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.ode.nonstiff.MidpointStepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.ode.nonstiff.ThreeEighthesStepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Serializable version id.
serialVersionUID - Static variable in class org.apache.commons.math.optimization.linear.LinearConstraint
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.optimization.linear.NoFeasibleSolutionException
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.optimization.linear.SimplexTableau
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.optimization.linear.UnboundedSolutionException
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Serializable version identifier.
serialVersionUID - Static variable in exception org.apache.commons.math.optimization.OptimizationException
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.optimization.RealPointValuePair
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.optimization.VectorialPointValuePair
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.random.EmpiricalDistributionImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.random.JDKRandomGenerator
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.random.MersenneTwister
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.random.RandomAdaptor
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.random.RandomDataImpl
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.random.UniformRandomGenerator
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.stat.clustering.Cluster
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
The serialization version of this class
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.Mean
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.Skewness
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.Variance
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.rank.Max
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.rank.Median
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.rank.Min
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.rank.Percentile
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
Serialization id
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.summary.Product
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.summary.Sum
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Serialization UID
serialVersionUID - Static variable in class org.apache.commons.math.stat.Frequency.NaturalComparator
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.Frequency
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.stat.regression.SimpleRegression
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.transform.FastFourierTransformer.RootsOfUnity
Serializable version id.
serialVersionUID - Static variable in class org.apache.commons.math.transform.FastFourierTransformer
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.util.BigReal
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.util.BigRealField
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.util.CompositeFormat
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.util.DefaultTransformer
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Serializable version identifier.
serialVersionUID - Static variable in class org.apache.commons.math.util.ResizableDoubleArray
Serializable version identifier
serialVersionUID - Static variable in class org.apache.commons.math.util.TransformerMap
Serializable version identifier
set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Set a set of consecutive elements.
set(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Set all elements to a single value.
set(int, ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Set a set of consecutive elements.
set(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Set all elements to a single value.
set(T) - Method in interface org.apache.commons.math.linear.FieldVector
Set all elements to a single value.
set(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Set all elements to a single value.
set(double) - Method in interface org.apache.commons.math.linear.RealVector
Set all elements to a single value.
set(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Set all elements to a single value.
set(Complex, int...) - Method in class org.apache.commons.math.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
Set a matrix element.
setAbsoluteAccuracy(double) - Method in interface org.apache.commons.math.ConvergingAlgorithm
Set the absolute accuracy.
setAbsoluteAccuracy(double) - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Set the absolute accuracy.
setAbsoluteAccuracy(double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Set the absolute accuracy.
setAlpha(double) - Method in interface org.apache.commons.math.distribution.BetaDistribution
Modify the shape parameter, alpha.
setAlpha(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Modify the shape parameter, alpha.
setAlpha(double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Modify the shape parameter, alpha.
setAlpha(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Modify the shape parameter, alpha.
setArity(int) - Method in class org.apache.commons.math.genetics.TournamentSelection
Sets the arity (number of chromosomes drawn to the tournament).
setBeta(double) - Method in interface org.apache.commons.math.distribution.BetaDistribution
Modify the shape parameter, beta.
setBeta(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Modify the shape parameter, beta.
setBeta(double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Modify the scale parameter, beta.
setBeta(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Modify the scale parameter, beta.
setBiasCorrected(boolean) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
 
setBiasCorrected(boolean) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
 
setBound(boolean) - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Set the bound flag of the parameter
setChiSquareTest(TTest) - Static method in class org.apache.commons.math.stat.inference.TestUtils
Set the (singleton) TTest instance.
setChiSquareTest(ChiSquareTest) - Static method in class org.apache.commons.math.stat.inference.TestUtils
Set the (singleton) ChiSquareTest instance.
setChromosomes(List<Chromosome>) - Method in class org.apache.commons.math.genetics.ListPopulation
Sets the list of chromosomes.
setColumn(int, T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in column number column as a column matrix.
setColumn(int, double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in column number column as a column matrix.
setColumn(int, T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in column number column as a column matrix.
setColumn(int, double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in column number column as a column matrix.
setColumn(int, T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in column number column as a column matrix.
setColumn(int, double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in column number column as a column matrix.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in column number column as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in column number column as a vector.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in column number column as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in column number column as a vector.
setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in column number column as a vector.
setColumnVector(int, RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in column number column as a vector.
setContractionCriteria(float) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Sets the contraction criteria for this ExpandContractDoubleArray.
setConvergence(double) - Method in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Set the convergence criterion threshold.
setConvergenceChecker(RealConvergenceChecker) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Set the convergence checker.
setConvergenceChecker(VectorialConvergenceChecker) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Set the convergence checker.
setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Set the convergence checker.
setConvergenceChecker(VectorialConvergenceChecker) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Set the convergence checker.
setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Set the convergence checker.
setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Set the convergence checker.
setConvergenceChecker(VectorialConvergenceChecker) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Set the convergence checker.
setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Set the convergence checker.
setConvergenceChecker(RealConvergenceChecker) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Set the convergence checker.
setCostRelativeTolerance(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Set the desired relative error in the sum of squares.
setCostRelativeTolerance(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Set the desired relative error in the sum of squares.
setDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.TDistribution
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Modify the degrees of freedom.
setDenominatorDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.FDistribution
Modify the denominator degrees of freedom.
setDenominatorDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Modify the denominator degrees of freedom.
setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.AbstractFormat
Modify the denominator format.
setDistribution(ChiSquaredDistribution) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Modify the distribution used to compute inference statistics.
setDistribution(TDistribution) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Modify the distribution used to compute inference statistics.
setDistribution(TDistribution) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Modify the distribution used to compute inference statistics.
setElement(int, double) - Method in interface org.apache.commons.math.util.DoubleArray
Sets the element at the specified index.
setElement(int, double) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Sets the element at the specified index.
setElitismRate(double) - Method in class org.apache.commons.math.genetics.ElitisticListPopulation
Sets the elitism rate, i.e.
setEntry(int, int, T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Set the entry in the specified row and column.
setEntry(int, int, T) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Set a single element.
setEntry(int, double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Set a single element.
setEntry(int, int, T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Set the entry in the specified row and column.
setEntry(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Set the entry in the specified row and column.
setEntry(int, T) - Method in interface org.apache.commons.math.linear.FieldVector
Set a single element.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Set the entry in the specified row and column.
setEntry(int, double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Set a single element.
setEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Set the entry in the specified row and column.
setEntry(int, double) - Method in interface org.apache.commons.math.linear.RealVector
Set a single element.
setEntry(int, int, T) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Set a single element.
setEntry(int, int, double) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Set an entry of the tableau.
setEpsilon(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Set the tolerance for having a value considered zero.
setEquations(FirstOrderDifferentialEquations) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Set the differential equations.
setEstimate(double) - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Set a new estimated value for the parameter.
setExpansionFactor(float) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Sets the expansionFactor.
setExpansionMode(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Sets the expansionMode.
setExponent(double) - Method in interface org.apache.commons.math.distribution.ZipfDistribution
Set the exponent characterising the distribution.
setExponent(double) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Set the exponent characterising the distribution.
setFunctionValueAccuracy(double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Set the function value accuracy.
setFunctionValueAccuracy(double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Set the function value accuracy.
setGamma(GammaDistribution) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Modify the underlying gamma distribution.
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the geometric mean.
setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the gemoetric mean.
setIgnored(boolean) - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Set the ignore flag to the specified value Setting the ignore flag to true allow to reject wrong measurements, which sometimes can be detected only rather late.
setImaginaryCharacter(String) - Method in class org.apache.commons.math.complex.ComplexFormat
Modify the imaginaryCharacter.
setImaginaryFormat(NumberFormat) - Method in class org.apache.commons.math.complex.ComplexFormat
Modify the imaginaryFormat.
setImpl(StorelessUnivariateStatistic[], StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets statistics implementations.
setInitialCapacity(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Sets the initial capacity.
setInitialStep(double) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Set the initial step used to bracket the optimum in line search.
setInitialStepBoundFactor(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Set the positive input variable used in determining the initial step bound.
setInitialStepBoundFactor(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Set the positive input variable used in determining the initial step bound.
setInitialStepSize(double) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Set the initial step size.
setInterpolatedTime(double) - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Set the time of the interpolated point.
setInterpolatedTime(double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Set the time of the interpolated point.
setInterpolatedTime(double) - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Set the time of the interpolated point.
setInterpolationControl(boolean, int) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Set the interpolation order control parameter.
setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the kurtosis.
setLineSearchSolver(UnivariateRealSolver) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Set the solver to use during line search.
setMaxCostEval(int) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Set the maximal number of cost evaluations allowed.
setMaxEvaluations(int) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Set the maximal number of differential equations function evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math.ode.ODEIntegrator
Set the maximal number of differential equations function evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxGrowth(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Set the maximal growth factor for stepsize control.
setMaxGrowth(double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Set the maximal growth factor for stepsize control.
setMaximalIterationCount(int) - Method in interface org.apache.commons.math.ConvergingAlgorithm
Set the upper limit for the number of iterations.
setMaximalIterationCount(int) - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Set the upper limit for the number of iterations.
setMaximalIterationCount(int) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Set the upper limit for the number of iterations.
setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the maximum.
setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Set the maximal number of iterations of the algorithm.
setMean(double) - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Modify the mean.
setMean(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Modify the mean.
setMean(double) - Method in interface org.apache.commons.math.distribution.NormalDistribution
Modify the mean.
setMean(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Modify the mean.
setMean(double) - Method in interface org.apache.commons.math.distribution.PoissonDistribution
Set the mean for the distribution.
setMean(double) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Set the Poisson mean for the distribution.
setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the mean.
setMedian(double) - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Modify the median.
setMedian(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Modify the median.
setMinimalIterationCount(int) - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Set the lower limit for the number of iterations.
setMinimalIterationCount(int) - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Set the lower limit for the number of iterations.
setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the minimum.
setMinReduction(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Set the minimal reduction factor for stepsize control.
setMinReduction(double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Set the minimal reduction factor for stepsize control.
setMode(int) - Method in class org.apache.commons.math.random.ValueServer
Setter for property mode.
setMu(double) - Method in class org.apache.commons.math.random.ValueServer
Setter for property mu.
setNormal(NormalDistribution) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Modify the normal distribution used to compute normal approximations.
setNumberOfElements(int) - Method in interface org.apache.commons.math.distribution.ZipfDistribution
Set the number of elements (e.g.
setNumberOfElements(int) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Set the number of elements (e.g.
setNumberOfSuccesses(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Modify the number of successes.
setNumberOfSuccesses(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Modify the number of successes.
setNumberOfSuccesses(int) - Method in interface org.apache.commons.math.distribution.PascalDistribution
Change the number of successes for this distribution.
setNumberOfSuccesses(int) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Change the number of successes for this distribution.
setNumberOfTrials(int) - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Change the number of trials for this distribution.
setNumberOfTrials(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Change the number of trials for this distribution.
setNumElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
This function allows you to control the number of elements contained in this array, and can be used to "throw out" the last n values in an array.
setNumeratorDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.FDistribution
Modify the numerator degrees of freedom.
setNumeratorDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Modify the numerator degrees of freedom.
setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.AbstractFormat
Modify the numerator format.
setOneWayAnova(OneWayAnova) - Static method in class org.apache.commons.math.stat.inference.TestUtils
Set the (singleton) OneWayAnova instance
setOrderControl(int, double, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Set the order control parameters.
setOrthoTolerance(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Set the desired max cosine on the orthogonality.
setOrthoTolerance(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Set the desired max cosine on the orthogonality.
setParRelativeTolerance(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Set the desired relative error in the approximate solution parameters.
setParRelativeTolerance(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Set the desired relative error in the approximate solution parameters.
setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation to be used by DescriptiveStatistics.getPercentile(double).
setPopulationLimit(int) - Method in class org.apache.commons.math.genetics.ListPopulation
Sets the maximal population size.
setPopulationSize(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Modify the population size.
setPopulationSize(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Modify the population size.
setPreconditioner(Preconditioner) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Set the preconditioner.
setProbabilityOfSuccess(double) - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Change the probability of success for this distribution.
setProbabilityOfSuccess(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Change the probability of success for this distribution.
setProbabilityOfSuccess(double) - Method in interface org.apache.commons.math.distribution.PascalDistribution
Change the probability of success for this distribution.
setProbabilityOfSuccess(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Change the probability of success for this distribution.
setQuantile(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
setRandomGenerator(RandomGenerator) - Static method in class org.apache.commons.math.genetics.GeneticAlgorithm
Set the (static) random generator.
setRealFormat(NumberFormat) - Method in class org.apache.commons.math.complex.ComplexFormat
Modify the realFormat.
setRelativeAccuracy(double) - Method in interface org.apache.commons.math.ConvergingAlgorithm
Set the relative accuracy.
setRelativeAccuracy(double) - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Set the relative accuracy.
setRelativeAccuracy(double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Set the relative accuracy.
setResult(double, int) - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Convenience function for implementations.
setResult(double, int) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Convenience function for implementations.
setResult(double, double, int) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Convenience function for implementations.
setResult(double, double, int) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Convenience function for implementations.
setRoundingMode(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Sets the rounding mode for decimal divisions.
setRow(int, T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in row number row as a row matrix.
setRow(int, double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in row number row as a row matrix.
setRow(int, T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in row number row as a row matrix.
setRow(int, double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in row number row as a row matrix.
setRow(int, T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in row number row as a row matrix.
setRow(int, double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in row number row as a row matrix.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in row number row as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in row number row as a vector.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in row number row as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in row number row as a vector.
setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in row number row as a vector.
setRowVector(int, RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in row number row as a vector.
setSafety(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Set the safety factor for stepsize control.
setSafety(double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Set the safety factor for stepsize control.
setSampleSize(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Modify the sample size.
setSampleSize(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Modify the sample size.
setScale(double) - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Modify the scale parameter.
setScale(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Modify the scale parameter.
setScale(double) - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Modify the scale parameter.
setScale(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Modify the scale parameter.
setScale(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Sets the scale for division operations.
setSecureAlgorithm(String, String) - Method in class org.apache.commons.math.random.RandomDataImpl
Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
setSeed(int) - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Sets the seed of the underyling random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Sets the seed of the underyling random number generator using an int array seed.
setSeed(long) - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Sets the seed of the underyling random number generator using a long seed.
setSeed(int) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Sets the seed of the underyling random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Sets the seed of the underyling random number generator using an int array seed.
setSeed(long) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Sets the seed of the underyling random number generator using a long seed.
setSeed(int) - Method in class org.apache.commons.math.random.JDKRandomGenerator
Sets the seed of the underyling random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.JDKRandomGenerator
Sets the seed of the underyling random number generator using an int array seed.
setSeed(int) - Method in class org.apache.commons.math.random.MersenneTwister
Reinitialize the generator as if just built with the given int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.MersenneTwister
Reinitialize the generator as if just built with the given int array seed.
setSeed(long) - Method in class org.apache.commons.math.random.MersenneTwister
Reinitialize the generator as if just built with the given long seed.
setSeed(int) - Method in class org.apache.commons.math.random.RandomAdaptor
Sets the seed of the underyling random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.RandomAdaptor
Sets the seed of the underyling random number generator using an int array seed.
setSeed(long) - Method in class org.apache.commons.math.random.RandomAdaptor
Sets the seed of the underyling random number generator using a long seed.
setSeed(int) - Method in interface org.apache.commons.math.random.RandomGenerator
Sets the seed of the underyling random number generator using an int seed.
setSeed(int[]) - Method in interface org.apache.commons.math.random.RandomGenerator
Sets the seed of the underyling random number generator using an int array seed.
setSeed(long) - Method in interface org.apache.commons.math.random.RandomGenerator
Sets the seed of the underyling random number generator using a long seed.
setShape(double) - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Modify the shape parameter.
setShape(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Modify the shape parameter.
setSigma(double) - Method in class org.apache.commons.math.random.ValueServer
Setter for property sigma.
setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the skewness.
setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Set the stability check controls.
setStandardDeviation(double) - Method in interface org.apache.commons.math.distribution.NormalDistribution
Modify the standard deviation.
setStandardDeviation(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Modify the standard deviation.
setStartConfiguration(double[]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Set start configuration for simplex.
setStartConfiguration(double[][]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Set start configuration for simplex.
setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Set the starter integrator.
setSteadyStateThreshold(double) - Method in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Set the steady state detection threshold.
setStepsizeControl(double, double, double, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Set the step size control factors.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(BigDecimal[][], int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Set a set of consecutive elements.
setSubVector(int, T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Set a set of consecutive elements.
setSubVector(int, double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Set a set of consecutive elements.
setSubVector(int, T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Set a set of consecutive elements.
setSubVector(int, double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Set a set of consecutive elements.
setSubVector(int, double[]) - Method in interface org.apache.commons.math.linear.RealVector
Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Set a set of consecutive elements.
setSubVector(int, T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Set a set of consecutive elements.
setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the Sum.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the sum of logs.
setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the sum of squares.
setUnknownDistributionChiSquareTest(UnknownDistributionChiSquareTest) - Static method in class org.apache.commons.math.stat.inference.TestUtils
Set the (singleton) UnknownDistributionChiSquareTest instance.
setup(UnivariateRealFunction) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
Checks to see if f is null, throwing IllegalArgumentException if so.
setValuesFileURL(String) - Method in class org.apache.commons.math.random.ValueServer
Sets the valuesFileURL using a string URL representation
setValuesFileURL(URL) - Method in class org.apache.commons.math.random.ValueServer
Sets the valuesFileURL
setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the variance.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat
Modify the whole format.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.ProperFractionFormat
Modify the whole format.
setWindowSize(int) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
WindowSize controls the number of values which contribute to the reported statistics.
setWindowSize(int) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
WindowSize controls the number of values which contribute to the reported statistics.
SGN_MASK - Static variable in class org.apache.commons.math.util.MathUtils
Offset to order signed double numbers lexicographically.
shift() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Shift one step forward.
shouldContract() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns true if the internal storage array has too many unused storage positions.
shouldGrowTable() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Check if tables should grow due to increased size.
shouldGrowTable() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Check if tables should grow due to increased size.
shuffle(int[], int) - Method in class org.apache.commons.math.random.RandomDataImpl
Uses a 2-cycle permutation shuffle to randomly re-order the last elements of list.
sigma - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Current shift.
sigma - Variable in class org.apache.commons.math.optimization.direct.NelderMead
Shrinkage coefficient.
sigma - Variable in class org.apache.commons.math.random.ValueServer
Standard deviation for use with GAUSSIAN_MODE
sigmaLow - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Low part of the current shift.
sign(byte) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for byte value x.
sign(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for double precision x.
sign(float) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for float value x.
sign(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for int value x.
sign(long) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for long value x.
sign(short) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for short value x.
SimpleEstimationProblem - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
SimpleEstimationProblem() - Constructor for class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Build an empty instance without parameters nor measurements.
SimpleRealPointChecker - Class in org.apache.commons.math.optimization
Simple implementation of the RealConvergenceChecker interface using only point coordinates.
SimpleRealPointChecker() - Constructor for class org.apache.commons.math.optimization.SimpleRealPointChecker
Build an instance with default threshold.
SimpleRealPointChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleRealPointChecker
Build an instance with a specified threshold.
SimpleRegression - Class in org.apache.commons.math.stat.regression
Estimates an ordinary least squares regression model with one independent variable.
SimpleRegression() - Constructor for class org.apache.commons.math.stat.regression.SimpleRegression
Create an empty SimpleRegression instance
SimpleRegression(TDistribution) - Constructor for class org.apache.commons.math.stat.regression.SimpleRegression
Create an empty SimpleRegression using the given distribution object to compute inference statistics.
SimpleScalarValueChecker - Class in org.apache.commons.math.optimization
Simple implementation of the RealConvergenceChecker interface using only objective function values.
SimpleScalarValueChecker() - Constructor for class org.apache.commons.math.optimization.SimpleScalarValueChecker
Build an instance with default threshold.
SimpleScalarValueChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleScalarValueChecker
Build an instance with a specified threshold.
SimpleVectorialPointChecker - Class in org.apache.commons.math.optimization
Simple implementation of the VectorialConvergenceChecker interface using only point coordinates.
SimpleVectorialPointChecker() - Constructor for class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Build an instance with default threshold.
SimpleVectorialPointChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Build an instance with a specified threshold.
SimpleVectorialValueChecker - Class in org.apache.commons.math.optimization
Simple implementation of the VectorialConvergenceChecker interface using only objective function values.
SimpleVectorialValueChecker() - Constructor for class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Build an instance with default threshold.
SimpleVectorialValueChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Build an instance with a specified threshold.
simplex - Variable in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Simplex.
SimplexSolver - Class in org.apache.commons.math.optimization.linear
Solves a linear problem using the Two-Phase Simplex Method.
SimplexSolver() - Constructor for class org.apache.commons.math.optimization.linear.SimplexSolver
Build a simplex solver with default settings.
SimplexSolver(double) - Constructor for class org.apache.commons.math.optimization.linear.SimplexSolver
Build a simplex solver with a specified accepted amount of error
SimplexTableau - Class in org.apache.commons.math.optimization.linear
A tableau for use in the Simplex method.
SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double) - Constructor for class org.apache.commons.math.optimization.linear.SimplexTableau
Build a tableau for a linear problem.
SimpsonIntegrator - Class in org.apache.commons.math.analysis.integration
Implements the Simpson's Rule for integration of real univariate functions.
SimpsonIntegrator(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.integration.SimpsonIntegrator
Deprecated. as of 2.0 the integrand function is passed as an argument to the SimpsonIntegrator.integrate(UnivariateRealFunction, double, double)method.
SimpsonIntegrator() - Constructor for class org.apache.commons.math.analysis.integration.SimpsonIntegrator
Construct an integrator.
sin() - Method in class org.apache.commons.math.complex.Complex
Compute the sine of this complex number.
singular - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Singularity indicator.
singular - Variable in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Singularity indicator.
singular - Variable in class org.apache.commons.math.linear.LUDecompositionImpl
Singularity indicator.
singular - Variable in class org.apache.commons.math.linear.LUDecompositionImpl.Solver
Singularity indicator.
SingularMatrixException - Exception in org.apache.commons.math.linear
Thrown when a matrix is singular.
SingularMatrixException() - Constructor for exception org.apache.commons.math.linear.SingularMatrixException
Construct an exception with a default message.
SingularValueDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the Singular Value Decomposition of a real matrix.
SingularValueDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the Singular Value Decomposition of a matrix.
SingularValueDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.SingularValueDecompositionImpl
Calculates the Singular Value Decomposition of the given matrix.
SingularValueDecompositionImpl.Solver - Class in org.apache.commons.math.linear
Specialized solver.
SingularValueDecompositionImpl.Solver(double[], RealMatrix, RealMatrix, boolean) - Constructor for class org.apache.commons.math.linear.SingularValueDecompositionImpl.Solver
Build a solver from decomposed matrix.
singularValues - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Singular values.
singularValues - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl.Solver
Singular values.
sinh() - Method in class org.apache.commons.math.complex.Complex
Compute the hyperbolic sine of this complex number.
sinh(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the hyperbolic sine of x.
size - Variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Current size of the map.
size() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Get the number of elements stored in the map.
size - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Current size of the map.
size() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Get the number of elements stored in the map.
Skewness - Class in org.apache.commons.math.stat.descriptive.moment
Computes the skewness of the available values.
Skewness() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Skewness
Constructs a Skewness
Skewness(ThirdMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Skewness
Constructs a Skewness with an external moment
Skewness(Skewness) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Skewness
Copy constructor, creates a new Skewness identical to the original
skewnessImpl - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Skewness statistic implementation - can be reset by setter.
smooth(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Compute a loess fit on the data at the original abscissae.
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver
Deprecated. 
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver
Deprecated. 
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver
Solve for a zero in the given interval, start at startValue.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver
Solve for a zero root in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. 
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Find a zero in the given interval with an initial guess.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Find a zero in the given interval.
solve(UnivariateRealFunction, double, double, double, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Find a zero starting search according to the three provided points.
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. 
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Find a real root in the given interval with initial value.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Find a real root in the given interval.
solve(Complex[], Complex) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. 
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Find a real root in the given interval with initial value.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Find a real root in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver
Deprecated. 
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver
Find a zero near the midpoint of min and max.
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver
Find a zero near the value startValue.
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver
Deprecated. 
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver
Find a root in the given interval with initial value.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver
Find a root in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver
Deprecated. 
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver
Find a zero in the given interval.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver
Find a zero in the given interval.
solve(double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Deprecated. replaced by UnivariateRealSolver.solve(UnivariateRealFunction, double, double) since 2.0
solve(UnivariateRealFunction, double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Solve for a zero root in the given interval.
solve(double, double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Deprecated. replaced by UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) since 2.0
solve(UnivariateRealFunction, double, double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Solve for a zero in the given interval, start at startValue.
solve(UnivariateRealFunction, double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
Convenience method to find a zero of a univariate real function.
solve(UnivariateRealFunction, double, double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
Convenience method to find a zero of a univariate real function.
solve(double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
solve(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
solve(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the solution vector for a linear system with coefficient matrix = this and constant vector = b.
solve(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solve(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solve(double[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solve(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solve(double[]) - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(RealVector) - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(ArrayRealVector) - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl.Solver
Solve the linear equation A × X = B.
solve(RealMatrix) - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(double[]) - Method in interface org.apache.commons.math.linear.DecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(RealVector) - Method in interface org.apache.commons.math.linear.DecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(RealMatrix) - Method in interface org.apache.commons.math.linear.DecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(double[]) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl.Solver
Solve the linear equation A × X = B for symmetric matrices A.
solve(RealVector) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl.Solver
Solve the linear equation A × X = B for symmetric matrices A.
solve(RealMatrix) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl.Solver
Solve the linear equation A × X = B for symmetric matrices A.
solve(T[]) - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(T[]) - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(FieldVector<T>) - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Solve the linear equation A × X = B.
solve(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(double[]) - Method in class org.apache.commons.math.linear.LUDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(RealVector) - Method in class org.apache.commons.math.linear.LUDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(ArrayRealVector) - Method in class org.apache.commons.math.linear.LUDecompositionImpl.Solver
Solve the linear equation A × X = B.
solve(RealMatrix) - Method in class org.apache.commons.math.linear.LUDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(double[]) - Method in class org.apache.commons.math.linear.QRDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(RealVector) - Method in class org.apache.commons.math.linear.QRDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(ArrayRealVector) - Method in class org.apache.commons.math.linear.QRDecompositionImpl.Solver
Solve the linear equation A × X = B.
solve(RealMatrix) - Method in class org.apache.commons.math.linear.QRDecompositionImpl.Solver
Solve the linear equation A × X = B for matrices A.
solve(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by DecompositionSolver.solve(double[])
solve(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by DecompositionSolver.solve(RealMatrix)
solve(double[]) - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl.Solver
Solve the linear equation A × X = B in least square sense.
solve(RealVector) - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl.Solver
Solve the linear equation A × X = B in least square sense.
solve(RealMatrix) - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl.Solver
Solve the linear equation A × X = B in least square sense.
solve2(double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. replaced by MullerSolver.solve2(UnivariateRealFunction, double, double) since 2.0
solve2(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Find a real root in the given interval.
solveAll(double[], double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
solveAll(Complex[], Complex) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
solvedCols - Variable in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Number of solved variables.
solvedCols - Variable in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Number of solved point.
solvePhase1(SimplexTableau) - Method in class org.apache.commons.math.optimization.linear.SimplexSolver
Solves Phase 1 of the Simplex method.
solver - Variable in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
solver to use in the line search (may be null).
solveUpperTriangular(RealMatrix, RealVector) - Static method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Uses back substitution to solve the system
sortedRepresentation - Variable in class org.apache.commons.math.genetics.RandomKey
Cache of sorted representation (unmodifiable).
sortObservations() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Sort the observations with respect to the abscissa.
SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Sparse matrix implementation based on an open addressed map.
SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix
Creates a matrix with no data.
SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix
Create a new SparseFieldMatrix with the supplied row and column dimensions.
SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix
Copy constructor.
SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix
Generic copy constructor.
SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
This class implements the FieldVector interface with a OpenIntToFieldHashMap backing store.
SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Build a 0-length vector.
SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Construct a (dimension)-length vector of zeros.
SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Build a resized vector, for use with append.
SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Build a vector with known the sparseness (for advanced use only).
SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Create from a Field array.
SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Copy constructor.
SparseRealMatrix - Interface in org.apache.commons.math.linear
Marker interface for RealMatrix implementations that require sparse backing storage
SparseRealVector - Interface in org.apache.commons.math.linear
Marker interface for RealVectors that require sparse backing storage
SpearmansCorrelation - Class in org.apache.commons.math.stat.correlation
Spearman's rank correlation.
SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.
SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Create a SpearmansCorrelation from the given data matrix.
SpearmansCorrelation() - Constructor for class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Create a SpearmansCorrelation without data.
SplineInterpolator - Class in org.apache.commons.math.analysis.interpolation
Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
SplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.SplineInterpolator
 
splitTolerance - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Split tolerance.
sqrt() - Method in class org.apache.commons.math.complex.Complex
Compute the square root of this complex number.
sqrt1z() - Method in class org.apache.commons.math.complex.Complex
Compute the square root of 1 - this2 for this complex number.
SQRT2PI - Static variable in class org.apache.commons.math.distribution.NormalDistributionImpl
&sqrt;(2 π)
SQRT3 - Static variable in class org.apache.commons.math.random.UniformRandomGenerator
Square root of three.
squaredSecondary - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Squared secondary diagonal of the tridiagonal matrix.
stabilityReduction - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
stepsize reduction factor in case of stability check failure.
stage(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Compute the n-th stage integral.
stage(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Compute the n-th stage integral of trapezoid rule.
standardDeviation - Variable in class org.apache.commons.math.distribution.NormalDistributionImpl
The standard deviation of this distribution.
standardDeviation - Variable in class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
Standard deviation vector.
StandardDeviation - Class in org.apache.commons.math.stat.descriptive.moment
Computes the sample standard deviation.
StandardDeviation() - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Constructs a StandardDeviation.
StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Constructs a StandardDeviation from an external second moment.
StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Copy constructor, creates a new StandardDeviation identical to the original
StandardDeviation(boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Contructs a StandardDeviation with the specified value for the isBiasCorrected property.
StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Contructs a StandardDeviation with the specified value for the isBiasCorrected property and the supplied external moment.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrixPreservingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.MatrixUtils.BigFractionMatrixConverter
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.MatrixUtils.FractionMatrixConverter
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrixPreservingVisitor
Start visiting a matrix.
start(double, double[], double) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Start the integration.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator.Corrector
Start visiting a matrix.
start() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the starting index of the internal array.
startConfiguration - Variable in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Start simplex configuration.
starter - Variable in class org.apache.commons.math.ode.MultistepIntegrator
Starter integrator.
startIndex - Variable in class org.apache.commons.math.util.ResizableDoubleArray
The position of the first addressable element in the internal storage array.
starts - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Number of starts to go.
starts - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Number of starts to go.
starts - Variable in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Number of starts to go.
starts - Variable in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Number of starts to go.
states - Variable in class org.apache.commons.math.ode.events.CombinedEventsManager
Events states.
states - Variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
States table.
states - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
States table.
stateVariation - Variable in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
State variation.
staticA - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Internal weights Butcher array.
staticA - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Internal weights Butcher array.
staticA - Static variable in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Internal weights Butcher array.
staticB - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Propagation weights Butcher array.
staticB - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Propagation weights Butcher array.
staticB - Static variable in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Propagation weights Butcher array.
staticC - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Time steps Butcher array.
staticC - Static variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Time steps Butcher array.
staticC - Static variable in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Time steps Butcher array.
staticE - Static variable in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Error weights Butcher array.
stationaryQuotientDifferenceWithShift(double[], double[], double) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Decompose matrix LDLT - λ I as L+D+L+T.
StatisticalMultivariateSummary - Interface in org.apache.commons.math.stat.descriptive
Reporting interface for basic multivariate statistics.
StatisticalSummary - Interface in org.apache.commons.math.stat.descriptive
Reporting interface for basic univariate statistics.
StatisticalSummaryValues - Class in org.apache.commons.math.stat.descriptive
Value object representing the results of a univariate statistical summary.
StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
Constructor
statistics - Variable in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
The SummaryStatistics in which aggregate statistics are accumulated.
statisticsPrototype - Variable in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
A SummaryStatistics serving as a prototype for creating SummaryStatistics contributing to this aggregate
StatUtils - Class in org.apache.commons.math.stat
StatUtils provides static methods for computing statistics based on data stored in double[] arrays.
StatUtils() - Constructor for class org.apache.commons.math.stat.StatUtils
Private Constructor
steadyStateThreshold - Variable in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Threshold for cost steady state detection.
step - Variable in class org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator
Integration step.
stepAccepted(double, double[]) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Inform the event handlers that the step has been accepted by the integrator.
stepAccepted(double, double[]) - Method in class org.apache.commons.math.ode.events.EventState
Acknowledge the fact the step has been accepted by the integrator.
stepControl1 - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
first stepsize control factor.
stepControl2 - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
second stepsize control factor.
stepControl3 - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
third stepsize control factor.
stepControl4 - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
fourth stepsize control factor.
StepHandler - Interface in org.apache.commons.math.ode.sampling
This interface represents a handler that should be called after each successful step.
stepHandlers - Variable in class org.apache.commons.math.ode.AbstractIntegrator
Step handler.
StepInterpolator - Interface in org.apache.commons.math.ode.sampling
This interface represents an interpolator over the last step during an ODE integration.
StepNormalizer - Class in org.apache.commons.math.ode.sampling
This class wraps an object implementing FixedStepHandler into a StepHandler.
StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math.ode.sampling.StepNormalizer
Simple constructor.
steps - Variable in class org.apache.commons.math.ode.ContinuousOutputModel
Steps table.
stepSize - Variable in class org.apache.commons.math.ode.AbstractIntegrator
Current stepsize.
stepStart - Variable in class org.apache.commons.math.ode.AbstractIntegrator
Current step start time.
stop() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Check if the integration should be stopped at the end of the current step.
STOP - Static variable in interface org.apache.commons.math.ode.events.EventHandler
Stop indicator.
stop() - Method in class org.apache.commons.math.ode.events.EventState
Check if the integration should be stopped at the end of the current step.
StoppingCondition - Interface in org.apache.commons.math.genetics
Algorithm used to determine when to stop evolution.
StorelessUnivariateStatistic - Interface in org.apache.commons.math.stat.descriptive
Extends the definition of UnivariateStatistic with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding values and updating internal state.
storeTime(double) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Store the current step time.
storeTime(double) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Store the current step time.
storeTime(double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Store the current step time.
stringValue - Variable in enum org.apache.commons.math.optimization.linear.Relationship
Display string for the relationship.
subAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Subtract two integers, checking for overflow.
subAndCheck(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Subtract two long integers, checking for overflow.
substituteMostRecentElement(double) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Substitutes value for the most recently added value.
subtract(PolynomialFunction) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Subtract a polynomial from the instance.
subtract(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the difference between this complex number and the given complex number.
subtract(T) - Method in interface org.apache.commons.math.FieldElement
Compute this - a.
subtract(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Subtracts the value of an BigInteger from the value of this one, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math.fraction.BigFraction
Subtracts the value of an integer from the value of this one, returning the result in reduced form.
subtract(long) - Method in class org.apache.commons.math.fraction.BigFraction
Subtracts the value of an integer from the value of this one, returning the result in reduced form.
subtract(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math.fraction.Fraction
Subtract an integer from the fraction.
subtract(Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D
Subtract a vector from the instance.
subtract(double, Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D
Subtract a scaled vector from the instance.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Compute this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Compute this minus m.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Compute this minus m.
subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Compute this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Compute this minus m.
subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Compute this minus m.
subtract(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute this minus v.
subtract(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute this minus v.
subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute this minus v.
subtract(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute this minus v.
subtract(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute this minus v.
subtract(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute this minus v.
subtract(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Compute this minus m.
subtract(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Compute this minus m.
subtract(BigMatrixImpl) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Compute this minus m.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Compute this minus m.
subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Compute this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Compute this minus m.
subtract(BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Compute this minus m.
subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Compute this minus m.
subtract(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Compute this minus v.
subtract(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Compute this minus v.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute this minus m.
subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute this minus m.
subtract(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to subtract OpenMapRealVectors.
subtract(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute this minus v.
subtract(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute this minus v.
subtract(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Compute this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Compute this minus m.
subtract(RealMatrixImpl) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Compute this minus m.
subtract(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Compute this minus v.
subtract(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Compute this minus v.
subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Optimized method to subtract SparseRealVectors.
subtract(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute this minus v.
subtract(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute this minus v.
subtract(BigReal) - Method in class org.apache.commons.math.util.BigReal
Compute this - a.
subtractRow(int, int, double) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Subtracts a multiple of one row from another.
suffix - Variable in class org.apache.commons.math.geometry.Vector3DFormat
Suffix.
suffix - Variable in class org.apache.commons.math.linear.RealVectorFormat
Suffix.
sum - Variable in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
The sum of the sample values
Sum - Class in org.apache.commons.math.stat.descriptive.summary
Returns the sum of the available values.
Sum() - Constructor for class org.apache.commons.math.stat.descriptive.summary.Sum
Create a Sum instance
Sum(Sum) - Constructor for class org.apache.commons.math.stat.descriptive.summary.Sum
Copy constructor, creates a new Sum identical to the original
sum - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
sum of values that have been added
sum - Static variable in class org.apache.commons.math.stat.StatUtils
sum
sum(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the values in the input array, or Double.NaN if the array is empty.
sum(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
sumDifference(double[], double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).
sumImpl - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sum statistic implementation - can be reset by setter.
sumImpl - Variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sum statistic implementation - can be reset by setter.
sumImpl - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sum statistic implementation - can be reset by setter.
sumLog - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
sumLog of values that have been added
sumLog - Static variable in class org.apache.commons.math.stat.StatUtils
sumLog
sumLog(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the natural logs of the entries in the input array, or Double.NaN if the array is empty.
sumLog(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
sumLogImpl - Variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sum of log statistic implementation - can be reset by setter.
sumLogImpl - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sum of log statistic implementation - can be reset by setter.
SummaryStatistics - Class in org.apache.commons.math.stat.descriptive
Computes summary statistics for a stream of data values added using the addValue method.
SummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.SummaryStatistics
Construct a SummaryStatistics instance
SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.SummaryStatistics
A copy constructor.
sumOfLogs - Variable in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Wrapped SumOfLogs instance
SumOfLogs - Class in org.apache.commons.math.stat.descriptive.summary
Returns the sum of the natural logs for this collection of values.
SumOfLogs() - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Create a SumOfLogs instance
SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Copy constructor, creates a new SumOfLogs identical to the original
SumOfSquares - Class in org.apache.commons.math.stat.descriptive.summary
Returns the sum of the squares of the available values.
SumOfSquares() - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Create a SumOfSquares instance
SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Copy constructor, creates a new SumOfSquares identical to the original
sums - Variable in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Sums for each component.
sumsq - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
sum of the square of each value that has been added
sumSq - Static variable in class org.apache.commons.math.stat.StatUtils
sumSq
sumSq(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the squares of the entries in the input array, or Double.NaN if the array is empty.
sumSq(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
sumsqImpl - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sum of squares statistic implementation - can be reset by setter.
sumSqImpl - Variable in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sum of squares statistic implementation - can be reset by setter.
sumsqImpl - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sum of squares statistic implementation - can be reset by setter.
sumX - Variable in class org.apache.commons.math.stat.regression.SimpleRegression
sum of x values
sumXX - Variable in class org.apache.commons.math.stat.regression.SimpleRegression
total variation in x (sum of squared deviations from xbar)
sumXY - Variable in class org.apache.commons.math.stat.regression.SimpleRegression
sum of products
sumY - Variable in class org.apache.commons.math.stat.regression.SimpleRegression
sum of y values
sumYY - Variable in class org.apache.commons.math.stat.regression.SimpleRegression
total variation in y (sum of squared deviations from ybar)
SynchronizedDescriptiveStatistics - Class in org.apache.commons.math.stat.descriptive
Implementation of DescriptiveStatistics that is safe to use in a multithreaded environment.
SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Construct an instance with infinite window
SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Construct an instance with finite window
SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
A copy constructor.
SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math.stat.descriptive
Implementation of MultivariateSummaryStatistics that is safe to use in a multithreaded environment.
SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Construct a SynchronizedMultivariateSummaryStatistics instance
SynchronizedSummaryStatistics - Class in org.apache.commons.math.stat.descriptive
Implementation of SummaryStatistics that is safe to use in a multithreaded environment.
SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Construct a SynchronizedSummaryStatistics instance
SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
A copy constructor.

T

t(double, double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
t(double, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
t(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
t(double, double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a t statistic given observed values and a comparison constant.
t(double, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.
t(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
t(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.
t(double, double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a t statistic given observed values and a comparison constant.
t(double, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.
t(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.
t(double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes t test statistic for 1-sample t-test.
t(double, double, double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes t test statistic for 2-sample t-test.
t0 - Variable in class org.apache.commons.math.ode.events.EventState
Time at the beginning of the step.
tableau - Variable in class org.apache.commons.math.optimization.linear.SimplexTableau
Simple tableau.
tan() - Method in class org.apache.commons.math.complex.Complex
Compute the tangent of this complex number.
tanh() - Method in class org.apache.commons.math.complex.Complex
Compute the hyperbolic tangent of this complex number.
target - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Target value for the objective functions at optimum.
tau - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Shift increment to apply.
TDistribution - Interface in org.apache.commons.math.distribution
Student's t-Distribution.
TDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of TDistribution.
TDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.TDistributionImpl
Create a t distribution using the given degrees of freedom.
test(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
This method is used by evaluate(double[], int, int) methods to verify that the input parameters designate a subarray of positive length.
TestUtils - Class in org.apache.commons.math.stat.inference
A collection of static methods to create inference test instances or to perform inference tests.
TestUtils() - Constructor for class org.apache.commons.math.stat.inference.TestUtils
Prevent instantiation.
ThirdMoment - Class in org.apache.commons.math.stat.descriptive.moment
Computes a statistic related to the Third Central Moment.
ThirdMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Create a FourthMoment instance
ThirdMoment(ThirdMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Copy constructor, creates a new ThirdMoment identical to the original
THREE_FIFTHS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "3/5".
THREE_FIFTHS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "3/5".
THREE_QUARTERS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "3/4".
THREE_QUARTERS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "3/4".
ThreeEighthesIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
ThreeEighthesIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.ThreeEighthesIntegrator
Simple constructor.
ThreeEighthesStepInterpolator - Class in org.apache.commons.math.ode.nonstiff
This class implements a step interpolator for the 3/8 fourth order Runge-Kutta integrator.
ThreeEighthesStepInterpolator() - Constructor for class org.apache.commons.math.ode.nonstiff.ThreeEighthesStepInterpolator
Simple constructor.
ThreeEighthesStepInterpolator(ThreeEighthesStepInterpolator) - Constructor for class org.apache.commons.math.ode.nonstiff.ThreeEighthesStepInterpolator
Copy constructor.
tiesStrategy - Variable in class org.apache.commons.math.stat.ranking.NaturalRanking
Ties strategy - defaults to ties averaged
TiesStrategy - Enum in org.apache.commons.math.stat.ranking
Strategies for handling tied values in rank transformations.
TiesStrategy() - Constructor for enum org.apache.commons.math.stat.ranking.TiesStrategy
 
tMq - Static variable in class org.apache.commons.math.ode.nonstiff.GillStepInterpolator
First Gill coefficient.
toArray() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math.linear.ArrayRealVector
Convert the vector to a double array.
toArray() - Method in interface org.apache.commons.math.linear.FieldVector
Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Convert the vector to a double array.
toArray() - Method in interface org.apache.commons.math.linear.RealVector
Convert the vector to a double array.
toArray() - Method in class org.apache.commons.math.linear.SparseFieldVector
Convert the vector to a T array.
toBlocksLayout(T[][]) - Static method in class org.apache.commons.math.linear.BlockFieldMatrix
Convert a data array from raw layout to blocks layout.
toBlocksLayout(double[][]) - Static method in class org.apache.commons.math.linear.BlockRealMatrix
Convert a data array from raw layout to blocks layout.
TOLERANCE - Static variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Tolerance.
TOLERANCE_2 - Static variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Squared tolerance.
TOO_SMALL - Static variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Bound to determine effective singularity in LU decomposition
toString() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns a string representation of the polynomial.
toString() - Method in class org.apache.commons.math.fraction.BigFraction
Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math.fraction.Fraction
Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math.genetics.AbstractListChromosome
toString() - Method in class org.apache.commons.math.genetics.ChromosomePair
toString() - Method in class org.apache.commons.math.genetics.ListPopulation
toString() - Method in class org.apache.commons.math.genetics.RandomKey
toString() - Method in class org.apache.commons.math.geometry.RotationOrder
Get a string representation of the instance.
toString() - Method in class org.apache.commons.math.geometry.Vector3D
Get a string representation of this vector.
toString() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math.linear.ArrayRealVector
toString() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Get a string representation for this matrix.
toString() - Method in enum org.apache.commons.math.optimization.linear.Relationship
toString() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.Frequency
Return a string representation of this frequency distribution.
totalEvaluations - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Number of evaluations already performed for all starts.
totalEvaluations - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Number of evaluations already performed for all starts.
totalEvaluations - Variable in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Number of evaluations already performed for all starts.
totalEvaluations - Variable in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Number of evaluations already performed for all starts.
totalGradientEvaluations - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Number of gradient evaluations already performed for all starts.
totalIterations - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Number of iterations already performed for all starts.
totalIterations - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Number of iterations already performed for all starts.
totalIterations - Variable in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Number of iterations already performed for all starts.
totalIterations - Variable in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Number of iterations already performed for all starts.
totalJacobianEvaluations - Variable in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Number of jacobian evaluations already performed for all starts.
tournament(ListPopulation) - Method in class org.apache.commons.math.genetics.TournamentSelection
Helper for TournamentSelection.select(Population).
TournamentSelection - Class in org.apache.commons.math.genetics
Tournament selection scheme.
TournamentSelection(int) - Constructor for class org.apache.commons.math.genetics.TournamentSelection
Creates a new TournamentSelection instance.
tPq - Static variable in class org.apache.commons.math.ode.nonstiff.GillStepInterpolator
Second Gill coefficient.
transform() - Method in class org.apache.commons.math.linear.TriDiagonalTransformer
Transform original matrix to tridiagonal form.
transform(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Transform the given real data set.
transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Transform the given real function, sampled on the given interval.
transform(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given real data set.
transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given real function, sampled on the given interval.
transform(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given complex data set.
transform(double[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
Transform the given real data set.
transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
Transform the given real function, sampled on the given interval.
transform(int[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
Transform the given real data set.
transform(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer
Transform the given real data set.
transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer
Transform the given real function, sampled on the given interval.
transform(double[]) - Method in interface org.apache.commons.math.transform.RealTransformer
Transform the given real data set.
transform(UnivariateRealFunction, double, double, int) - Method in interface org.apache.commons.math.transform.RealTransformer
Transform the given real function, sampled on the given interval.
transform(Object) - Method in class org.apache.commons.math.util.DefaultTransformer
 
transform(Object) - Method in interface org.apache.commons.math.util.NumberTransformer
Implementing this interface provides a facility to transform from Object to Double.
transform(Object) - Method in class org.apache.commons.math.util.TransformerMap
Attempts to transform the Object against the map of NumberTransformers.
transform2(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Transform the given real data set.
transform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Transform the given real function, sampled on the given interval.
transform2(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given real data set.
transform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given real function, sampled on the given interval.
transform2(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given complex data set.
transform2(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer
Transform the given real data set.
transform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer
Transform the given real function, sampled on the given interval.
transformer - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Transformer to tridiagonal (may be null if matrix is already tridiagonal).
transformer - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Transformer to bidiagonal.
transformer - Variable in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Transformer.
TransformerMap - Class in org.apache.commons.math.util
This TansformerMap automates the transformation of mixed object types.
TransformerMap() - Constructor for class org.apache.commons.math.util.TransformerMap
Build a map containing only the default transformer.
transformers() - Method in class org.apache.commons.math.util.TransformerMap
Returns the Set of NumberTransformers used as values in the map.
transformToLowerBiDiagonal() - Method in class org.apache.commons.math.linear.BiDiagonalTransformer
Transform original matrix to lower bi-diagonal form.
transformToTridiagonal(RealMatrix) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Transform matrix to tridiagonal.
transformToUpperBiDiagonal() - Method in class org.apache.commons.math.linear.BiDiagonalTransformer
Transform original matrix to upper bi-diagonal form.
translate(String, Locale) - Static method in exception org.apache.commons.math.MathException
Translate a string to a given locale.
translate(String, Locale) - Static method in exception org.apache.commons.math.MathRuntimeException
Translate a string to a given locale.
transpose() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the transpose matrix.
transpose() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the transpose of this matrix.
TrapezoidIntegrator - Class in org.apache.commons.math.analysis.integration
Implements the Trapezoidal Rule for integration of real univariate functions.
TrapezoidIntegrator(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Deprecated. as of 2.0 the integrand function is passed as an argument to the TrapezoidIntegrator.integrate(UnivariateRealFunction, double, double)method.
TrapezoidIntegrator() - Constructor for class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Construct an integrator.
tricube(double) - Static method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Compute the tricube weight function
TriDiagonalTransformer - Class in org.apache.commons.math.linear
Class transforming a symmetrical matrix to tridiagonal shape.
TriDiagonalTransformer(RealMatrix) - Constructor for class org.apache.commons.math.linear.TriDiagonalTransformer
Build the transformation to tridiagonal shape of a symmetrical matrix.
trigamma(double) - Static method in class org.apache.commons.math.special.Gamma
Computes the trigamma function of x.
trimmedPrefix - Variable in class org.apache.commons.math.geometry.Vector3DFormat
Trimmed prefix.
trimmedPrefix - Variable in class org.apache.commons.math.linear.RealVectorFormat
Trimmed prefix.
trimmedSeparator - Variable in class org.apache.commons.math.geometry.Vector3DFormat
Trimmed separator.
trimmedSeparator - Variable in class org.apache.commons.math.linear.RealVectorFormat
Trimmed separator.
trimmedSuffix - Variable in class org.apache.commons.math.geometry.Vector3DFormat
Trimmed suffix.
trimmedSuffix - Variable in class org.apache.commons.math.linear.RealVectorFormat
Trimmed suffix.
tryStep(double, double[], double, int, double[], double[][], double[], double[], double[]) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Perform integration over one step using substeps of a modified midpoint method.
tTest - Static variable in class org.apache.commons.math.stat.inference.TestUtils
Singleton TTest instance using default implementation.
tTest(double, double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(double, double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(double[], double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
TTest - Interface in org.apache.commons.math.stat.inference
An interface for Student's t-tests.
tTest(double, double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.
tTest(double, double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.
tTest(double, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.
tTest(double, StatisticalSummary, double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.
tTest(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
tTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.
tTest(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
tTest(StatisticalSummary, StatisticalSummary, double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.
tTest(double, double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.
tTest(double, double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.
tTest(double, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.
tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.
tTest(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
tTest(double[], double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.
tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.
tTest(double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes p-value for 2-sided, 1-sample t-test.
tTest(double, double, double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes p-value for 2-sided, 2-sample t-test.
TTestImpl - Class in org.apache.commons.math.stat.inference
Implements t-test statistics defined in the TTest interface.
TTestImpl() - Constructor for class org.apache.commons.math.stat.inference.TTestImpl
Default constructor.
TTestImpl(TDistribution) - Constructor for class org.apache.commons.math.stat.inference.TTestImpl
Create a test instance using the given distribution for computing inference statistics.
tType - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Type of the last dqds shift.
TWO - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "2 / 1".
TWO - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "2 / 1".
TWO_FIFTHS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "2/5".
TWO_FIFTHS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "2/5".
TWO_PI - Static variable in class org.apache.commons.math.util.MathUtils
2 π.
TWO_QUARTERS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "2/4".
TWO_QUARTERS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "2/4".
TWO_THIRDS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "2/3".
TWO_THIRDS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "2/3".

U

UnboundedSolutionException - Exception in org.apache.commons.math.optimization.linear
This class represents exceptions thrown by optimizers when a solution escapes to infinity.
UnboundedSolutionException() - Constructor for exception org.apache.commons.math.optimization.linear.UnboundedSolutionException
Simple constructor using a default message.
UncorrelatedRandomVectorGenerator - Class in org.apache.commons.math.random
A RandomVectorGenerator that generates vectors with uncorrelated components.
UncorrelatedRandomVectorGenerator(double[], double[], NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
Simple constructor.
UncorrelatedRandomVectorGenerator(int, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
Simple constructor.
UNIFORM_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Uniform random deviates with mean = mu
UniformRandomGenerator - Class in org.apache.commons.math.random
This class implements a normalized uniform random generator.
UniformRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math.random.UniformRandomGenerator
Create a new generator.
unitize() - Method in class org.apache.commons.math.linear.ArrayRealVector
Converts this vector into a unit vector.
unitize() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Converts this vector into a unit vector.
unitize() - Method in interface org.apache.commons.math.linear.RealVector
Converts this vector into a unit vector.
unitVector() - Method in class org.apache.commons.math.linear.ArrayRealVector
Creates a unit vector pointing in the direction of this vector.
unitVector() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Creates a unit vector pointing in the direction of this vector.
unitVector() - Method in interface org.apache.commons.math.linear.RealVector
Creates a unit vector pointing in the direction of this vector.
UnivariateMatrixFunction - Interface in org.apache.commons.math.analysis
An interface representing a univariate matrix function.
UnivariateRealFunction - Interface in org.apache.commons.math.analysis
An interface representing a univariate real function.
UnivariateRealIntegrator - Interface in org.apache.commons.math.analysis.integration
Interface for univariate real integration algorithms.
UnivariateRealIntegratorImpl - Class in org.apache.commons.math.analysis.integration
Provide a default implementation for several generic functions.
UnivariateRealIntegratorImpl(UnivariateRealFunction, int) - Constructor for class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Deprecated. as of 2.0 the integrand function is passed as an argument to the UnivariateRealIntegrator.integrate(UnivariateRealFunction, double, double)method.
UnivariateRealIntegratorImpl(int) - Constructor for class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Construct an integrator with given iteration count and accuracy.
UnivariateRealInterpolator - Interface in org.apache.commons.math.analysis.interpolation
Interface representing a univariate real interpolating function.
UnivariateRealOptimizer - Interface in org.apache.commons.math.optimization
Interface for (univariate real) optimization algorithms.
UnivariateRealSolver - Interface in org.apache.commons.math.analysis.solvers
Interface for (univariate real) rootfinding algorithms.
UnivariateRealSolverFactory - Class in org.apache.commons.math.analysis.solvers
Abstract factory class used to create UnivariateRealSolver instances.
UnivariateRealSolverFactory() - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Default constructor.
UnivariateRealSolverFactoryImpl - Class in org.apache.commons.math.analysis.solvers
A concrete UnivariateRealSolverFactory.
UnivariateRealSolverFactoryImpl() - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Default constructor.
UnivariateRealSolverImpl - Class in org.apache.commons.math.analysis.solvers
Provide a default implementation for several functions useful to generic solvers.
UnivariateRealSolverImpl(UnivariateRealFunction, int, double) - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. as of 2.0 the function to solve is passed as an argument to the UnivariateRealSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
UnivariateRealSolverImpl(int, double) - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Construct a solver with given iteration count and accuracy.
UnivariateRealSolverUtils - Class in org.apache.commons.math.analysis.solvers
Utility routines for UnivariateRealSolver objects.
UnivariateRealSolverUtils() - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
Default constructor.
UnivariateRealSolverUtils.LazyHolder - Class in org.apache.commons.math.analysis.solvers
Holder for the factory.
UnivariateRealSolverUtils.LazyHolder() - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils.LazyHolder
 
UnivariateStatistic - Interface in org.apache.commons.math.stat.descriptive
Base interface implemented by all statistics.
UnivariateVectorialFunction - Interface in org.apache.commons.math.analysis
An interface representing a univariate vectorial function.
unknownDistributionChiSquareTest - Static variable in class org.apache.commons.math.stat.inference.TestUtils
Singleton ChiSquareTest instance using default implementation.
UnknownDistributionChiSquareTest - Interface in org.apache.commons.math.stat.inference
An interface for Chi-Square tests for unknown distributions.
update - Variable in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Update matrix for the higher order derivatives h2/2y'', h3/6 y''' ...
updateBandwidthInterval(double[], int, int[]) - Static method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Given an index interval into xval that embraces a certain number of points closest to xval[i-1], update the interval so that it embraces the same number of points closest to xval[i]
updateFormula - Variable in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Update formula for the beta parameter.
updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Update the high order scaled derivatives for Adams integrators (phase 1).
updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Update the high order scaled derivatives for Adams integrators (phase 1).
updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Update the high order scaled derivatives Adams integrators (phase 2).
updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Update the high order scaled derivatives Adams integrators (phase 2).
updateJacobian() - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Update the jacobian matrix.
updateJacobian() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Update the jacobian matrix.
updateResidualsAndCost() - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Update the residuals array and cost function value.
updateResidualsAndCost() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Update the residuals array and cost function value.
updateSigma(double) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Update sigma.
upperBounds - Variable in class org.apache.commons.math.random.EmpiricalDistributionImpl
upper bounds of subintervals in (0,1) "belonging" to the bins
upperCumulativeProbability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this distribution, X, this method returns P(X ≥ x).
upperSpectra - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Upper bound of spectra.
useInterpolationError - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
use interpolation error in stepsize control.
useLU - Variable in class org.apache.commons.math.optimization.general.GaussNewtonOptimizer
Indicator for using LU decomposition.
uT - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl.Solver
UT matrix of the decomposition.

V

v - Variable in class org.apache.commons.math.linear.SingularValueDecompositionImpl.Solver
V matrix of the decomposition.
v - Variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Vectors for interpolation.
v1 - Variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
First vector for interpolation.
v2 - Variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Second vector for interpolation.
v3 - Variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Third vector for interpolation.
v4 - Variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Fourth vector for interpolation.
validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Validates sample data.
validateSampleData(double[][], double[]) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Validates sample data.
value(double[]) - Method in interface org.apache.commons.math.analysis.MultivariateMatrixFunction
Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math.analysis.MultivariateRealFunction
Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math.analysis.MultivariateVectorialFunction
Compute the value for the function at the given point.
value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Compute the value of the function for the given argument.
value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Calculate the function value at the given point.
value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Calculate the function value at the given point.
value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Compute the value for the function.
value(double) - Method in interface org.apache.commons.math.analysis.UnivariateMatrixFunction
Compute the value for the function.
value(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealFunction
Compute the value for the function.
value(double) - Method in interface org.apache.commons.math.analysis.UnivariateVectorialFunction
Compute the value for the function.
value(double[]) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter.TheoreticalValuesFunction
Compute the value for the function at the given point.
value(double, double[]) - Method in class org.apache.commons.math.optimization.fitting.HarmonicFitter.ParametricHarmonicFunction
Compute the value of the function.
value(double) - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Compute the value for the function.
value(double, double[]) - Method in interface org.apache.commons.math.optimization.fitting.ParametricRealFunction
Compute the value of the function.
value(double, double[]) - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter.ParametricPolynomial
Compute the value of the function.
value(double) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
Compute the value for the function.
value(double[]) - Method in class org.apache.commons.math.optimization.LeastSquaresConverter
Compute the value for the function at the given point.
value - Variable in class org.apache.commons.math.optimization.linear.LinearConstraint
Value of the constraint (right hand side).
value - Variable in class org.apache.commons.math.optimization.RealPointValuePair
Value of the objective function at the point.
value - Variable in class org.apache.commons.math.optimization.VectorialPointValuePair
Vectorial value of the objective function at the point.
value - Variable in class org.apache.commons.math.stat.descriptive.rank.Max
Current value of the statistic
value - Variable in class org.apache.commons.math.stat.descriptive.rank.Min
Current value of the statistic
value - Variable in class org.apache.commons.math.stat.descriptive.summary.Product
The current Running Product.
value - Variable in class org.apache.commons.math.stat.descriptive.summary.Sum
The currently running sum.
value - Variable in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
The currently running value
value - Variable in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
The currently running sumSq
value - Variable in class org.apache.commons.math.stat.ranking.NaturalRanking.IntDoublePair
Value of the pair
value() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Get the value of current entry.
value() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Get the value of current entry.
valueOf(String) - Static method in enum org.apache.commons.math.optimization.general.ConjugateGradientFormula
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.optimization.GoalType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.optimization.linear.Relationship
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.stat.ranking.NaNStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.stat.ranking.TiesStrategy
Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.commons.math.optimization.general.ConjugateGradientFormula
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.optimization.GoalType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.optimization.linear.Relationship
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.stat.ranking.NaNStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.stat.ranking.TiesStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values - Variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Values table.
values - Variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Values table.
ValueServer - Class in org.apache.commons.math.random
Generates values for use in simulation applications.
ValueServer() - Constructor for class org.apache.commons.math.random.ValueServer
Creates new ValueServer
ValueServer(RandomData) - Constructor for class org.apache.commons.math.random.ValueServer
Construct a ValueServer instance using a RandomData as its source of random data.
valuesFileURL - Variable in class org.apache.commons.math.random.ValueServer
URI to raw data values
valuesIterator() - Method in class org.apache.commons.math.stat.Frequency
Returns an Iterator over the set of values that have been added.
variance - Variable in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Wrapped Variance instance
Variance - Class in org.apache.commons.math.stat.descriptive.moment
Computes the variance of the available values.
Variance() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance
Constructs a Variance with default (true) isBiasCorrected property.
Variance(SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance
Constructs a Variance based on an external second moment.
Variance(boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance
Constructs a Variance with the specified isBiasCorrected property
Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance
Constructs a Variance with the specified isBiasCorrected property and the supplied external second moment.
Variance(Variance) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance
Copy constructor, creates a new Variance identical to the original
variance - Variable in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
The sample variance
variance - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
variance of values that have been added
variance - Static variable in class org.apache.commons.math.stat.StatUtils
variance
variance(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the entries in the input array, or Double.NaN if the array is empty.
variance(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
variance(double[], double, int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
variance(double[], double) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the entries in the input array, using the precomputed mean value.
varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]).
varianceImpl - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Variance statistic implementation - can be reset by setter.
varianceImpl - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Variance statistic implementation - can be reset by setter.
vecAbsoluteTolerance - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Allowed absolute vectorial error.
vecRelativeTolerance - Variable in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Allowed relative vectorial error.
Vector3D - Class in org.apache.commons.math.geometry
This class implements vectors in a three-dimensional space.
Vector3D(double, double, double) - Constructor for class org.apache.commons.math.geometry.Vector3D
Simple constructor.
Vector3D(double, double) - Constructor for class org.apache.commons.math.geometry.Vector3D
Simple constructor.
Vector3D(double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D
Multiplicative constructor Build a vector from another one and a scale factor.
Vector3D(double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D
Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector3D(double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D
Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector3D(double, Vector3D, double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D
Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector3DFormat - Class in org.apache.commons.math.geometry
Formats a 3D vector in components list format "{x; y; z}".
Vector3DFormat() - Constructor for class org.apache.commons.math.geometry.Vector3DFormat
Create an instance with default settings.
Vector3DFormat(NumberFormat) - Constructor for class org.apache.commons.math.geometry.Vector3DFormat
Create an instance with a custom number format for components.
Vector3DFormat(String, String, String) - Constructor for class org.apache.commons.math.geometry.Vector3DFormat
Create an instance with custom prefix, suffix and separator.
Vector3DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math.geometry.Vector3DFormat
Create an instance with custom prefix, suffix, separator and format for components.
VectorialConvergenceChecker - Interface in org.apache.commons.math.optimization
This interface specifies how to check if a optimization algorithm has converged.
VectorialCovariance - Class in org.apache.commons.math.stat.descriptive.moment
Returns the covariance matrix of the available vectors.
VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Constructs a VectorialCovariance.
VectorialMean - Class in org.apache.commons.math.stat.descriptive.moment
Returns the arithmetic mean of the available vectors.
VectorialMean(int) - Constructor for class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Constructs a VectorialMean.
VectorialPointValuePair - Class in org.apache.commons.math.optimization
This class holds a point and the vectorial value of an objective function at this point.
VectorialPointValuePair(double[], double[]) - Constructor for class org.apache.commons.math.optimization.VectorialPointValuePair
Build a point/objective function value pair.
VectorialPointValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math.optimization.VectorialPointValuePair
Build a point/objective function value pair.
vectorsInitialized - Variable in class org.apache.commons.math.ode.nonstiff.DormandPrince54StepInterpolator
Initialization indicator for the interpolation vectors.
vectorsInitialized - Variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Initialization indicator for the interpolation vectors.
verifyBracketing(double, double, UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Verifies that the endpoints specify an interval and the function takes opposite signs at the enpoints, throws IllegalArgumentException if not
verifyDataSet(double[]) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Verifies that the data set has length of power of 2.
verifyDataSet(Object[]) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Verifies that the data set has length of power of 2.
verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Verifies that the input arrays are valid.
verifyInterpolationArray(double[], double[]) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Verifies that the interpolation arrays are valid.
verifyInterval(double, double) - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Verifies that the endpoints specify an interval.
verifyInterval(double, double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Verifies that the endpoints specify an interval, throws IllegalArgumentException if not
verifyInterval(double, double) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Verifies that the endpoints specify an interval.
verifyIterationCount() - Method in class org.apache.commons.math.analysis.integration.RombergIntegrator
Verifies that the upper and lower limits of iterations are valid.
verifyIterationCount() - Method in class org.apache.commons.math.analysis.integration.SimpsonIntegrator
Verifies that the upper and lower limits of iterations are valid.
verifyIterationCount() - Method in class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Verifies that the upper and lower limits of iterations are valid.
verifyIterationCount() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Verifies that the upper and lower limits of iterations are valid.
verifySequence(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Verifies that lower < initial < upper throws IllegalArgumentException if not
virtualSize - Variable in class org.apache.commons.math.linear.OpenMapRealVector
Dimension of the vector.
virtualSize - Variable in class org.apache.commons.math.linear.SparseFieldVector
Dimension of the vector.
visit(int, int, T) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, T) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor
Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrixPreservingVisitor
Visit one matrix entry.
visit(int, int, BigFraction) - Method in class org.apache.commons.math.linear.MatrixUtils.BigFractionMatrixConverter
Visit one matrix entry.
visit(int, int, Fraction) - Method in class org.apache.commons.math.linear.MatrixUtils.FractionMatrixConverter
Visit one matrix entry.
visit(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrixPreservingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator.Corrector
Visit one matrix entry.

W

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (but don't change) some matrix entries in column order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (but don't change) some matrix entries in row order.
WeibullDistribution - Interface in org.apache.commons.math.distribution
Weibull Distribution.
WeibullDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of WeibullDistribution.
WeibullDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.WeibullDistributionImpl
Creates weibull distribution with the given shape and scale and a location equal to zero.
weight - Variable in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Measurement weight.
weight - Variable in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Weight of the measurement in the fitting process.
WeightedMeasurement - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
WeightedMeasurement(double, double) - Constructor for class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Simple constructor.
WeightedMeasurement(double, double, boolean) - Constructor for class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Simple constructor.
WeightedObservedPoint - Class in org.apache.commons.math.optimization.fitting
This class is a simple container for weighted observed point in curve fitting.
WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Simple constructor.
weights - Variable in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Weights for the current method.
weights - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Weight for the least squares cost computation.
weights - Variable in class org.apache.commons.math.optimization.LeastSquaresConverter
Optional weights for the residuals.
WEIGHTS_2 - Static variable in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Weights for the 2 points method.
WEIGHTS_3 - Static variable in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Weights for the 3 points method.
WEIGHTS_4 - Static variable in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Weights for the 4 points method.
WEIGHTS_5 - Static variable in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Weights for the 5 points method.
wholeFormat - Variable in class org.apache.commons.math.fraction.ProperBigFractionFormat
The format used for the whole number.
wholeFormat - Variable in class org.apache.commons.math.fraction.ProperFractionFormat
The format used for the whole number.
windowSize - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
hold the window size
work - Variable in class org.apache.commons.math.linear.EigenDecompositionImpl
Work array for all decomposition algorithms.
writeBaseExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Save the base state of the instance.
writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.nonstiff.RungeKuttaStepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Write the instance to an output channel.
writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
writeObject(ObjectOutputStream) - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
Serialize the instance.
writeObject(ObjectOutputStream) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Serialize the instance.
writeObject(ObjectOutputStream) - Method in class org.apache.commons.math.optimization.linear.SimplexTableau
Serialize the instance.

X

x - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Interpolating points (abscissas) and the function values at these points.
x - Variable in class org.apache.commons.math.geometry.Vector3D
Abscissa.
x - Variable in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Abscissa of the point.
X - Variable in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
X sample data.
xbar - Variable in class org.apache.commons.math.stat.regression.SimpleRegression
mean of accumulated x values, used in updating formulas
XYX - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.
XYZ - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.
XZX - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.
XZY - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.

Y

y - Variable in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Interpolating points (abscissas) and the function values at these points.
y - Variable in class org.apache.commons.math.geometry.Vector3D
Ordinate.
y - Variable in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Observed value of the function at x.
Y - Variable in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Y sample data.
y0Dot - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Slope at the beginning of the step.
y1 - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
State at the end of the step.
y1Dot - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Slope at the end of the step.
ybar - Variable in class org.apache.commons.math.stat.regression.SimpleRegression
mean of accumulated y values, used in updating formulas
yDotK - Variable in class org.apache.commons.math.ode.nonstiff.RungeKuttaStepInterpolator
Slopes at the intermediate points
yDotKLast - Variable in class org.apache.commons.math.ode.nonstiff.DormandPrince853StepInterpolator
Last evaluations.
yMidDots - Variable in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerStepInterpolator
Derivatives at the middle of the step.
YXY - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.
YXZ - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.
YZX - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.
YZY - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.

Z

z - Variable in class org.apache.commons.math.distribution.BetaDistributionImpl
Normalizing factor used in density computations.
z - Variable in class org.apache.commons.math.geometry.Vector3D
Height.
z - Variable in class org.apache.commons.math.ode.FirstOrderConverter
state vector.
ZB - Static variable in class org.apache.commons.math.util.MathUtils
0.0 cast as a byte.
zDDot - Variable in class org.apache.commons.math.ode.FirstOrderConverter
second time derivative of the state vector.
zDot - Variable in class org.apache.commons.math.ode.FirstOrderConverter
first time derivative of the state vector.
ZERO - Static variable in class org.apache.commons.math.complex.Complex
A complex number representing "0.0 + 0.0i"
ZERO - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math.geometry.Vector3D
Null vector (coordinates: 0, 0, 0).
ZERO - Static variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. BigDecimal 0
zero - Variable in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
Zero element of the field.
zero - Variable in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
Zero element of the field.
ZERO - Static variable in class org.apache.commons.math.util.BigReal
A big real representing 0.
ZipfDistribution - Interface in org.apache.commons.math.distribution
The Zipf (or zeta) Distribution.
ZipfDistributionImpl - Class in org.apache.commons.math.distribution
Implementation for the ZipfDistribution.
ZipfDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.ZipfDistributionImpl
Create a new Zipf distribution with the given number of elements and exponent.
ZS - Static variable in class org.apache.commons.math.util.MathUtils
0.0 cast as a short.
ZXY - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.
ZXZ - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.
ZYX - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.
ZYZ - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.

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Copyright (c) 2003-2009 Apache Software Foundation