TLU Class Reference

Computes LU factorisation . More...

#include <mat_fac.hh>

Public Member Functions
void	factorise (TMatrix *A, const TTruncAcc &acc) const
auto	eval_matrix (TMatrix *A) const -> std::unique_ptr< TLinearOperator >
auto	inv_matrix (TMatrix *A) const -> std::unique_ptr< TLinearOperator >
void	split (const TMatrix *A, TMatrix *&L, TMatrix *&U, const eval_type_t eval_type) const
size_t	pm_steps (const TMatrix *A) const
	return number of factorisation steps for A for progress meter

Public Attributes
	__pad0__: _options( opts ) {} ~TLU () {} void set_options ( const fac_options_t opts ) { _options = opts
	standard constructor with optional LU settings

Detailed Description

This class computes the LU factorisation of a matrix with lower, unit triangular matrix and upper triangular matrix .

The factorisation may be either point wise, i.e. a real LU factorisation, or block wise in which case, dense diagonal matrix blocks are inverted.

Support for multiple threads is available, although the expectable speedup is limited, e.g. best suited for at most 4 threads.

Member Function Documentation

auto eval_matrix

(

TMatrix *

A

)

const -> std::unique_ptr< TLinearOperator >

return suitable representation for evaluating factors L and U

Parameters

A	LU factors to be represented

void factorise	(	TMatrix *	A,
		const TTruncAcc &	acc
	)		const

compute LU factorisation of given matrix

Parameters

A	on input matrix to factorise; on output factors L and U
acc	accuracy of factorisation

auto inv_matrix

(

TMatrix *

A

)

const -> std::unique_ptr< TLinearOperator >

return suitable inverse representation of factors L and U

Parameters

A	LU factor to be represented

void split	(	const TMatrix *	A,
		TMatrix *&	L,
		TMatrix *&	U,
		const eval_type_t	eval_type
	)		const

split given matrix A into individual factors L and U

Parameters

A	joined LU factors
L	matrix pointer to store factor L
U	matrix pointer to store factor U
eval_type	determines block-wise or point-wise evaluation