SVDRep Class Reference

#include <svdrep.hpp>

List of all members.

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Detailed Description

SVD - Singular Value Decomposition Rrepresentation of some input matrix.

The SVD Decomposition of a matrix, A, can be written as U*S*V^T where S is a diagonal matrix of singular values, U and V are orthogonal matrices. This decompition allows for fast solving a a system of linear equations. Here, the Lapack Fortran code for DGESVD is called. See lapack.h for more information

Definition at line 31 of file svdrep.hpp.

Public Member Functions
	SVDRep ()
	SVDRep (const SVDRep &C)
	~SVDRep ()
SVDRep &	operator= (const SVDRep &c)
DblNumMat &	U ()
DblNumVec &	S ()
DblNumMat &	VT ()
int	construct (double epsilon, const DblNumMat &M)
int	dgemv (double alpha, const DblNumVec &X, double beta, DblNumVec &Y, double tol=0.0)
int	dgemv (double alpha, double *X, double beta, double *Y, double tol=0.0)
int	m () const
int	k () const
int	n () const
Protected Attributes
DblNumMat	_matU
DblNumVec	_matS
DblNumMat	_matVT

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

• common/svdrep.hpp
• common/svdrep.cpp

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