#include <Cholesky.hpp>

Inheritance diagram for Cholesky:

Public Member Functions
	Cholesky (const MatrixSparse *mat)

	Cholesky (const Cholesky &m)=delete

Cholesky &	operator= (const Cholesky &m)=delete

virtual	~Cholesky ()

int	getSize () const override

void	evalInverse (const VectorDouble &vecin, VectorDouble &vecout) const override

bool	isValid () const

int	solve (const VectorDouble &b, VectorDouble &x) const

int	simulate (const VectorDouble &b, VectorDouble &x) const

int	stdev (VectorDouble &vcur, bool flagStDev=false) const

double	getLogDeterminant () const

Public Member Functions inherited from ALinearOp
	ALinearOp (const CGParam params=CGParam())

	ALinearOp (const ALinearOp &m)

ALinearOp &	operator= (const ALinearOp &m)

virtual	~ALinearOp ()

void	evalDirect (const VectorDouble &inv, VectorDouble &outv) const

void	setX0 (const VectorDouble &x0)

void	mustShowStats (bool status)

const LogStats &	getLogStats () const

Constructor & Destructor Documentation

Cholesky::Cholesky ( const MatrixSparse * mat )

Cholesky::Cholesky ( const Cholesky & m )

delete

Cholesky::~Cholesky ( )

virtual

Member Function Documentation

overridevirtual

Evaluate the product: 'outv' = MAT^{-1} * 'inv' (ALinearOp heritage)

Parameters

[in]	vecin	Array of input values
[out]	vecout	Array of output values

Reimplemented from ALinearOp.

double Cholesky::getLogDeterminant ( ) const

int Cholesky::getSize ( ) const

overridevirtual

Implements ALinearOp.

bool Cholesky::isValid ( ) const

inline

Cholesky& Cholesky::operator= ( const Cholesky & m )

delete

Simulate using Cholesky

Parameters

[out]	b	Input Vector
[out]	x	Simulated output vector

Perform the calculation of the Standard Deviation of Estimation Error

Parameters

[out]	vcur	Output array
[in]	flagStDev	FALSE for a variance calculation, True for StDev.

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