mfem::CholeskyFactors Class Reference

#include <densemat.hpp>

Inheritance diagram for mfem::CholeskyFactors:

Collaboration diagram for mfem::CholeskyFactors:

Public Member Functions
	CholeskyFactors ()
	CholeskyFactors (double *data_)
virtual bool	Factor (int m, double TOL=0.0)
	Compute the Cholesky factorization of the current matrix. More...
virtual double	Det (int m) const
void	LMult (int m, int n, double *X) const
void	UMult (int m, int n, double *X) const
void	LSolve (int m, int n, double *X) const
void	USolve (int m, int n, double *X) const
virtual void	Solve (int m, int n, double *X) const
void	RightSolve (int m, int n, double *X) const
virtual void	GetInverseMatrix (int m, double *X) const
	Assuming L.L^t = A factored data of size (m x m), compute X <- A^{-1}. More...
Public Member Functions inherited from mfem::Factors
	Factors ()
	Factors (double *data_)
virtual	~Factors ()

Additional Inherited Members
Public Attributes inherited from mfem::Factors
double *	data

Detailed Description

Class that can compute Cholesky factorizations of external data of an SPD matrix and perform various operations with the factored data.

Definition at line 738 of file densemat.hpp.

Constructor & Destructor Documentation

mfem::CholeskyFactors::CholeskyFactors ( )

inline

With this constructor, the (public) data should be set explicitly before calling class methods.

Definition at line 744 of file densemat.hpp.

mfem::CholeskyFactors::CholeskyFactors ( double *  data_ )

inline

Definition at line 746 of file densemat.hpp.

Member Function Documentation

double mfem::CholeskyFactors::Det ( int  m ) const

virtual

Assuming LL^t = A factored data of size (m x m), compute |A| from the diagonal values of L

Reimplemented from mfem::Factors.

Definition at line 3617 of file densemat.cpp.

bool mfem::CholeskyFactors::Factor ( int  m, double  TOL = 0.0  )

virtual

Compute the Cholesky factorization of the current matrix.

Factorize the current matrix of size (m x m) overwriting it with the Cholesky factors. The factorization is such that LL^t = A, where A is the original matrix

Parameters

[in]	m	size of the square matrix
[in]	TOL	optional fuzzy comparison tolerance. Defaults to 0.0.

Returns

status set to true if successful, otherwise, false.

Reimplemented from mfem::Factors.

Definition at line 3575 of file densemat.cpp.

void mfem::CholeskyFactors::GetInverseMatrix ( int  m, double *  X  ) const

virtual

Assuming L.L^t = A factored data of size (m x m), compute X <- A^{-1}.

Reimplemented from mfem::Factors.

Definition at line 3785 of file densemat.cpp.

void mfem::CholeskyFactors::LMult	(	int	m,
		int	n,
		double *	X
	)		const

Assuming L.L^t = A factored data of size (m x m), compute X <- L X, for a matrix X of size (m x n).

Definition at line 3627 of file densemat.cpp.

void mfem::CholeskyFactors::LSolve	(	int	m,
		int	n,
		double *	X
	)		const

Assuming L L^t = A factored data of size (m x m), compute X <- L^{-1} X, for a matrix X of size (m x n).

Definition at line 3664 of file densemat.cpp.

void mfem::CholeskyFactors::RightSolve	(	int	m,
		int	n,
		double *	X
	)		const

Assuming L.L^t = A factored data of size (m x m), compute X <- X A^{-1}, for a matrix X of size (n x m).

Definition at line 3738 of file densemat.cpp.

void mfem::CholeskyFactors::Solve ( int  m, int  n, double *  X  ) const

virtual

Assuming L.L^t = A factored data of size (m x m), compute X <- A^{-1} X, for a matrix X of size (m x n).

Reimplemented from mfem::Factors.

Definition at line 3724 of file densemat.cpp.

void mfem::CholeskyFactors::UMult	(	int	m,
		int	n,
		double *	X
	)		const

Assuming L.L^t = A factored data of size (m x m), compute X <- L^t X, for a matrix X of size (m x n).

Definition at line 3646 of file densemat.cpp.

void mfem::CholeskyFactors::USolve	(	int	m,
		int	n,
		double *	X
	)		const

Assuming L L^t = A factored data of size (m x m), compute X <- L^{-t} X, for a matrix X of size (m x n).

Definition at line 3694 of file densemat.cpp.

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

• linalg/densemat.hpp
• linalg/densemat.cpp