Implements a conjugate gradient method as sparse linear algebra solver for non-symmetric linear systems. More...

#include <normal_conjugate_gradient_method.hpp>

Inheritance diagram for NormalConjugateGradientMethod:

Public Member Functions
virtual SparseSolver *	clone () const

	NormalConjugateGradientMethod ()

	NormalConjugateGradientMethod (const NormalConjugateGradientMethod &arg)

virtual returnValue	setIndices (const int rowIdx_, const int colIdx_)

virtual returnValue	setIndices (const int *indices_)

virtual	~NormalConjugateGradientMethod ()

Public Member Functions inherited from ConjugateGradientMethod
	ConjugateGradientMethod ()

	ConjugateGradientMethod (const ConjugateGradientMethod &arg)

virtual returnValue	getX (double *x_)

virtual returnValue	setDimension (const int &n)

virtual returnValue	setMatrix (double *A_)

virtual returnValue	setNumberOfEntries (const int &nDense_)

virtual returnValue	setPrintLevel (PrintLevel printLevel_)

virtual returnValue	setTolerance (double TOL_)

virtual returnValue	solve (double *b)

virtual	~ConjugateGradientMethod ()

Public Member Functions inherited from SparseSolver
virtual returnValue	factorize ()=0

virtual int_t	getNegativeEigenvalues ()

virtual int_t	getRank ()

virtual returnValue	getZeroPivots (int_t *&zeroPivots)

virtual SparseSolver &	operator= (const SparseSolver &rhs)

virtual returnValue	reset ()

virtual returnValue	setMatrixData (int_t dim, int_t numNonzeros, const int_t const airn, const int_t const acjn, const real_t *const avals)=0

virtual returnValue	solve (int_t dim, const real_t const rhs, real_t const sol)=0

virtual returnValue	solveTranspose (double *b)

	SparseSolver ()

	SparseSolver (const SparseSolver &rhs)

	SparseSolver ()

virtual	~SparseSolver ()

virtual	~SparseSolver ()

Protected Member Functions
virtual returnValue	applyInversePreconditioner (double *x_)

virtual returnValue	applyPreconditioner (double *b)

virtual returnValue	computePreconditioner (double *A_)

virtual void	multiply (double xx, double result)

Protected Member Functions inherited from ConjugateGradientMethod
double	scalarProduct (double aa, double bb)

Protected Member Functions inherited from SparseSolver
returnValue	clear ()

returnValue	copy (const SparseSolver &rhs)

Protected Attributes
int **	index

double *	iResult

int *	nIndex

Protected Attributes inherited from ConjugateGradientMethod
double *	A

double *	condScale

int	dim

int	nDense

double *	norm2

double **	p

int	pCounter

PrintLevel	printLevel

double *	r

double	TOL

double *	x

Detailed Description

Implements a conjugate gradient method as sparse linear algebra solver for non-symmetric linear systems.

The class NormalConjugateGradientMethod is a conjugate gradient method
which allows to specify any (possibly non-symetric) matrix A. This
method might not work properly for highly ill-conditioned systems. If
the matrix A is symmetric and positive definite the class
SymmetricConjugateGradientMethod should be preferred.