mfem::CholeskyFactors Class Reference

#include <densemat.hpp>

Inheritance diagram for mfem::CholeskyFactors:

Collaboration diagram for mfem::CholeskyFactors:

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

Additional Inherited Members
Public Attributes inherited from mfem::Factors
real_t *	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 776 of file densemat.hpp.

Constructor & Destructor Documentation

CholeskyFactors() [1/2]

mfem::CholeskyFactors::CholeskyFactors ( )

inline

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

Definition at line 782 of file densemat.hpp.

CholeskyFactors() [2/2]

mfem::CholeskyFactors::CholeskyFactors ( real_t * data_ )

inline

Definition at line 784 of file densemat.hpp.

Member Function Documentation

Det()

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

overridevirtual

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 3726 of file densemat.cpp.

Factor()

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

overridevirtual

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 3684 of file densemat.cpp.

GetInverseMatrix()

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

overridevirtual

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

Reimplemented from mfem::Factors.

Definition at line 3896 of file densemat.cpp.

LMult()

void mfem::CholeskyFactors::LMult	(	int	m,
		int	n,
		real_t *	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 3736 of file densemat.cpp.

LSolve()

void mfem::CholeskyFactors::LSolve	(	int	m,
		int	n,
		real_t *	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 3773 of file densemat.cpp.

RightSolve()

void mfem::CholeskyFactors::RightSolve	(	int	m,
		int	n,
		real_t *	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 3849 of file densemat.cpp.

Solve()

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

overridevirtual

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 3835 of file densemat.cpp.

UMult()

void mfem::CholeskyFactors::UMult	(	int	m,
		int	n,
		real_t *	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 3755 of file densemat.cpp.

USolve()

void mfem::CholeskyFactors::USolve	(	int	m,
		int	n,
		real_t *	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 3804 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