org.apache.commons.math3.analysis.FunctionUtils.add(DifferentiableUnivariateFunction...)
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org.apache.commons.math3.linear.AbstractFieldMatrix.buildArray(Field, int)
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org.apache.commons.math3.linear.AbstractFieldMatrix.buildArray(Field, int, int)
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org.apache.commons.math3.util.ResizableDoubleArray.checkContractExpand(float, float)
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org.apache.commons.math3.analysis.FunctionUtils.compose(DifferentiableUnivariateFunction...)
|
org.apache.commons.math3.distribution.AbstractRealDistribution.cumulativeProbability(double, double)
|
org.apache.commons.math3.distribution.RealDistribution.cumulativeProbability(double, double)
As of 3.1. In 4.0, this method will be renamed
probability(double x0, double x1) .
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org.apache.commons.math3.distribution.LogNormalDistribution.cumulativeProbability(double, double)
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org.apache.commons.math3.distribution.NormalDistribution.cumulativeProbability(double, double)
|
org.apache.commons.math3.analysis.function.Atanh.derivative()
|
org.apache.commons.math3.analysis.function.Minus.derivative()
|
org.apache.commons.math3.analysis.function.Inverse.derivative()
|
org.apache.commons.math3.analysis.function.Cbrt.derivative()
|
org.apache.commons.math3.analysis.function.Tan.derivative()
|
org.apache.commons.math3.analysis.function.Constant.derivative()
|
org.apache.commons.math3.analysis.function.Log.derivative()
|
org.apache.commons.math3.analysis.function.Sigmoid.derivative()
|
org.apache.commons.math3.analysis.function.Gaussian.derivative()
|
org.apache.commons.math3.analysis.function.Cosh.derivative()
|
org.apache.commons.math3.analysis.function.Sqrt.derivative()
|
org.apache.commons.math3.analysis.function.Cos.derivative()
|
org.apache.commons.math3.analysis.function.Log10.derivative()
|
org.apache.commons.math3.analysis.function.Tanh.derivative()
|
org.apache.commons.math3.analysis.function.Atan.derivative()
|
org.apache.commons.math3.analysis.function.Sinc.derivative()
|
org.apache.commons.math3.analysis.function.Identity.derivative()
|
org.apache.commons.math3.analysis.function.Log1p.derivative()
|
org.apache.commons.math3.analysis.function.HarmonicOscillator.derivative()
|
org.apache.commons.math3.analysis.function.Asin.derivative()
|
org.apache.commons.math3.analysis.function.Acos.derivative()
|
org.apache.commons.math3.analysis.function.Exp.derivative()
|
org.apache.commons.math3.analysis.function.Acosh.derivative()
|
org.apache.commons.math3.analysis.function.Sinh.derivative()
|
org.apache.commons.math3.analysis.function.Expm1.derivative()
|
org.apache.commons.math3.analysis.function.Sin.derivative()
|
org.apache.commons.math3.analysis.function.Asinh.derivative()
|
org.apache.commons.math3.analysis.function.Power.derivative()
|
org.apache.commons.math3.analysis.function.Logistic.derivative()
|
org.apache.commons.math3.analysis.function.Logit.derivative()
|
org.apache.commons.math3.linear.OpenMapRealVector.dotProduct(OpenMapRealVector)
as of 3.1 (to be removed in 4.0). The computation is
performed by the parent class. The method must be kept to maintain
backwards compatibility.
|
org.apache.commons.math3.linear.RealVector.ebeDivide(RealVector)
As of version 3.1, this method is deprecated, and will be
removed in version 4.0. This decision follows the discussion reported in
MATH-803.
Uses of this method involving sparse implementations of
RealVector might lead to wrong results. Since there is no
satisfactory correction to this bug, this method is deprecated. Users who
want to preserve this feature are advised to implement
RealVectorPreservingVisitor (possibly ignoring corner cases for
the sake of efficiency).
|
org.apache.commons.math3.linear.RealVector.ebeMultiply(RealVector)
As of version 3.1, this method is deprecated, and will be
removed in version 4.0. This decision follows the discussion reported in
MATH-803.
Uses of this method involving sparse implementations of
RealVector might lead to wrong results. Since there is no
satisfactory correction to this bug, this method is deprecated. Users who
want to preserve this feature are advised to implement
RealVectorPreservingVisitor (possibly ignoring corner cases for
the sake of efficiency).
|
org.apache.commons.math3.optimization.fitting.PolynomialFitter.fit()
|
org.apache.commons.math3.distribution.GammaDistribution.getAlpha()
|
org.apache.commons.math3.distribution.GammaDistribution.getBeta()
|
org.apache.commons.math3.util.ResizableDoubleArray.getContractionCriteria()
|
org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer.getCovariances()
|
org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer.getCovariances(double)
|
org.apache.commons.math3.linear.FieldVector.getData()
|
org.apache.commons.math3.linear.SparseFieldVector.getData()
|
org.apache.commons.math3.random.RandomDataImpl.getDelegate()
To be removed in 4.0.
|
org.apache.commons.math3.util.ResizableDoubleArray.getExpansionFactor()
As of 3.1. Return type will be changed to "double" in 4.0.
|
org.apache.commons.math3.util.ResizableDoubleArray.getExpansionMode()
|
org.apache.commons.math3.util.ResizableDoubleArray.getInternalLength()
|
org.apache.commons.math3.util.ResizableDoubleArray.getInternalValues()
As of 3.1.
|
org.apache.commons.math3.geometry.euclidean.oned.Interval.getLength()
|
org.apache.commons.math3.geometry.euclidean.oned.Interval.getLower()
|
org.apache.commons.math3.geometry.euclidean.oned.Interval.getMidPoint()
|
org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer.getTargetRef()
As of 3.1.
|
org.apache.commons.math3.geometry.euclidean.oned.Interval.getUpper()
|
org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer.getWeightRef()
As of 3.1.
|
org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer.guessParametersErrors()
|
org.apache.commons.math3.distribution.RealDistribution.isSupportLowerBoundInclusive()
to be removed in 4.0
|
org.apache.commons.math3.distribution.RealDistribution.isSupportUpperBoundInclusive()
to be removed in 4.0
|
org.apache.commons.math3.analysis.solvers.LaguerreSolver.laguerre(double, double, double, double)
This method should not be part of the public API: It will
be made private in version 4.0.
|
org.apache.commons.math3.dfp.Dfp.log10()
as of 3.2, replaced by Dfp.intLog10() , in 4.0 the return type
will be changed to Dfp
|
org.apache.commons.math3.special.Beta.logBeta(double, double, double, int)
as of version 3.1, this method is deprecated as the
computation of the beta function is no longer iterative; it will be
removed in version 4.0. Current implementation of this method
internally calls Beta.logBeta(double, double) .
|
org.apache.commons.math3.transform.FastFourierTransformer.mdfft(FastFourierTransformer.MultiDimensionalComplexMatrix, TransformType, int, int[])
see MATH-736
|
org.apache.commons.math3.transform.FastFourierTransformer.mdfft(Object, TransformType)
see MATH-736
|
org.apache.commons.math3.analysis.FunctionUtils.multiply(DifferentiableUnivariateFunction...)
|
org.apache.commons.math3.random.RandomDataImpl.nextInversionDeviate(IntegerDistribution)
use the distribution's sample() method
|
org.apache.commons.math3.random.RandomDataImpl.nextInversionDeviate(RealDistribution)
use the distribution's sample() method
|
org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer.optimize(int, DifferentiableMultivariateVectorFunction, double[], double[], double[])
|
org.apache.commons.math3.optimization.BaseMultivariateVectorOptimizer.optimize(int, FUNC, double[], double[], double[])
As of 3.1. In 4.0, this will be replaced by the declaration
corresponding to this method .
|
org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer.optimize(int, FUNC, double[], double[], double[])
|
org.apache.commons.math3.optimization.BaseMultivariateOptimizer.optimize(int, FUNC, GoalType, double[])
As of 3.1. In 4.0, it will be replaced by the declaration
corresponding to this method .
|
org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer.optimize(int, FUNC, GoalType, double[])
|
org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer.optimize(int, MultivariateDifferentiableVectorFunction, double[], double[], double[])
|
org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer.optimizeInternal(int, FUNC, double[], double[], double[])
|
org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer.optimizeInternal(int, FUNC, GoalType, double[])
|
org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer.optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, double[])
|
org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer.optimizeInternal(int, MultivariateDifferentiableVectorFunction, OptimizationData...)
As of 3.1. Override is necessary only until this class's generic
argument is changed to MultivariateDifferentiableVectorFunction .
|
org.apache.commons.math3.genetics.ListPopulation.setChromosomes(List)
|
org.apache.commons.math3.util.ResizableDoubleArray.setContractionCriteria(float)
As of 3.1 (to be removed in 4.0 as field will become "final").
|
org.apache.commons.math3.util.ResizableDoubleArray.setExpansionFactor(float)
As of 3.1 (to be removed in 4.0 as field will become "final").
|
org.apache.commons.math3.util.ResizableDoubleArray.setExpansionMode(int)
|
org.apache.commons.math3.util.ResizableDoubleArray.setExpansionMode(ResizableDoubleArray.ExpansionMode)
As of 3.1 (to be removed in 4.0 as field will become "final").
|
org.apache.commons.math3.util.ResizableDoubleArray.setInitialCapacity(int)
As of 3.1, this is a no-op.
|
org.apache.commons.math3.optimization.direct.SimplexOptimizer.setSimplex(AbstractSimplex)
|
org.apache.commons.math3.linear.RealVector.sparseIterator()
As of 3.1, this method is deprecated, because its interface
is too confusing (see
JIRA MATH-875).
This method will be completely removed in 4.0.
|
org.apache.commons.math3.util.ResizableDoubleArray.start()
As of 3.1.
|
org.apache.commons.math3.analysis.FunctionUtils.toDifferentiableMultivariateFunction(MultivariateDifferentiableFunction)
|
org.apache.commons.math3.analysis.FunctionUtils.toDifferentiableMultivariateVectorFunction(MultivariateDifferentiableVectorFunction)
|
org.apache.commons.math3.analysis.FunctionUtils.toDifferentiableUnivariateFunction(UnivariateDifferentiableFunction)
|
org.apache.commons.math3.analysis.FunctionUtils.toMultivariateDifferentiableFunction(DifferentiableMultivariateFunction)
|
org.apache.commons.math3.analysis.FunctionUtils.toMultivariateDifferentiableVectorFunction(DifferentiableMultivariateVectorFunction)
|
org.apache.commons.math3.analysis.FunctionUtils.toUnivariateDifferential(DifferentiableUnivariateFunction)
|
org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer.updateJacobian()
|
org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer.updateResidualsAndCost()
|