Class capable of storing a Low Rank Approximation of a matrix block. More...

#include <aca.hpp>

Public Member Functions
	LowRank (void)
	default constructor to be able to use with std::vector container

template<class UType , class VType >
	LowRank (int row0, int col0, Eigen::MatrixBase< UType > const &U, Eigen::DenseBase< VType > const &V)
	constructor setting members More...

const Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > &	getU (void) const
	return the lhs (U) member of the LRA

const Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > &	getV (void) const
	return the rhs (V) member of the LRA

int	getRow0 (void) const
	return row offset

int	getCol0 (void) const
	return column offset

Detailed Description

Class capable of storing a Low Rank Approximation of a matrix block.

This class is used as return type of ACA::decompose to return the vector of LRA blocks

Template Parameters

Scalar the scalar type of the approximated block

Definition at line 18 of file aca.hpp.

Constructor & Destructor Documentation

template<class Scalar >

template<class UType , class VType >

LowRank< Scalar >::LowRank	(	int	row0,
		int	col0,
		Eigen::MatrixBase< UType > const &	U,
		Eigen::DenseBase< VType > const &	V
	)

inline

constructor setting members

Template Parameters

UType	the type of the U matrix
VType	the type of theVU matrix

Parameters

[in]	row0	the row offset of the block
[in]	col0	the column offset of the block
[in]	U	the lhs term of the LRA
[in]	V	the rhs term of the LRA

Definition at line 34 of file aca.hpp.

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