Inverse< Blackbox > Class Template Reference
[linbox/blackbox]

A Blackbox for the inverse. Not efficient if many applications are used.The matrix itself is not stored in memory. Rather, its apply methods use a vector of field elements, which are used to "multiply" the matrix to a vector. More...

#include <inverse.h>

Inheritance diagram for Inverse< Blackbox >:
BlackboxInterface

List of all members.

Public Member Functions

 Inverse (const Blackbox *BB)
 Inverse (const Inverse &BB)
template<class OutVector , class InVector >
OutVector & apply (OutVector &y, const InVector &x) const
template<class OutVector , class InVector >
OutVector & applyTranspose (OutVector &y, const InVector &x) const
size_t rowdim (void) const
size_t coldim (void) const

Detailed Description

template<class Blackbox>
class LinBox::Inverse< Blackbox >

A Blackbox for the inverse. Not efficient if many applications are used.

The matrix itself is not stored in memory. Rather, its apply methods use a vector of field elements, which are used to "multiply" the matrix to a vector.

This class has three template parameters. The first is the field in which the arithmetic is to be done. The second is the type of LinBox} vector to which to apply the matrix. The third is chosen be default to be the LinBox} vector trait of the vector. This class is then specialized for dense and sparse vectors.

Parameters:
Field LinBox} field
Vector LinBox} dense or sparse vector of field elements
Trait Marker whether to use dense or sparse LinBox vector implementation. This is chosen by a default parameter and partial template specialization.

Constructor & Destructor Documentation

Inverse ( const Blackbox *  BB  )  [inline]

Constructor from field and dense vector of field elements.

Parameters:
__BB Black box of which to get the inverse
Inverse ( const Inverse< Blackbox > &  BB  )  [inline]

Copy constructor, so that we don't have to recompute the minimal polynomial every time this black box is used inside another black box


Member Function Documentation

OutVector& apply ( OutVector &  y,
const InVector &  x 
) const [inline]

Application of BlackBox matrix. y= A*x. Requires one vector conforming to the LinBox} vector archetype. Required by abstract base class.

Returns:
reference to vector y containing output.
Parameters:
y reference to vector into which to store the result
x constant reference to vector to contain input
OutVector& applyTranspose ( OutVector &  y,
const InVector &  x 
) const [inline]

Application of BlackBox matrix transpose. y= transpose(A)*x. Requires one vector conforming to the LinBox} vector archetype. Required by abstract base class.

Returns:
reference to vector y containing output.
Parameters:
x constant reference to vector to contain input
size_t rowdim ( void   )  const [inline]

Retreive row dimensions of BlackBox matrix. This may be needed for applying preconditioners. Required by abstract base class.

Returns:
integer number of rows of black box matrix.
size_t coldim ( void   )  const [inline]

Retreive column dimensions of BlackBox matrix. Required by abstract base class.

Returns:
integer number of columns of black box matrix.

The documentation for this class was generated from the following file:

Generated on Sat Nov 7 08:38:04 2009 for linbox by  doxygen 1.6.1