Eigen::UmfPackLU< MatrixType_ > Class Template Reference

#include <Eigen/src/UmfPackSupport/UmfPackSupport.h>

Detailed Description

template<typename MatrixType_>
class Eigen::UmfPackLU< MatrixType_ >

A sparse LU factorization and solver based on UmfPack.

This class allows to solve for A.X = B sparse linear problems via a LU factorization using the UmfPack library. The sparse matrix A must be squared and full rank. The vectors or matrices X and B can be either dense or sparse.

Warning

The input matrix A should be in a compressed and column-major form. Otherwise an expensive copy will be made. You can call the inexpensive makeCompressed() to get a compressed matrix.

Template Parameters

MatrixType_

the type of the sparse matrix A, it must be a SparseMatrix<>

This class follows the sparse solver concept .

See also

Sparse solver concept, class SparseLU

Inheritance diagram for Eigen::UmfPackLU< MatrixType_ >:

Public Member Functions
template<typename InputMatrixType>
void	analyzePattern (const InputMatrixType &matrix)
template<typename InputMatrixType>
void	compute (const InputMatrixType &matrix)
template<typename InputMatrixType>
void	factorize (const InputMatrixType &matrix)
ComputationInfo	info () const
	Reports whether previous computation was successful.
void	printUmfpackControl ()
void	printUmfpackInfo ()
void	printUmfpackStatus ()
UmfpackControl &	umfpackControl ()
const UmfpackControl &	umfpackControl () const
int	umfpackFactorizeReturncode () const
Public Member Functions inherited from Eigen::SparseSolverBase< UmfPackLU< MatrixType_ > >
const Solve< UmfPackLU< MatrixType_ >, Rhs >	solve (const MatrixBase< Rhs > &b) const
const Solve< UmfPackLU< MatrixType_ >, Rhs >	solve (const MatrixBase< Rhs > &b) const
const Solve< UmfPackLU< MatrixType_ >, Rhs >	solve (const SparseMatrixBase< Rhs > &b) const
const Solve< UmfPackLU< MatrixType_ >, Rhs >	solve (const SparseMatrixBase< Rhs > &b) const
	SparseSolverBase ()
	SparseSolverBase ()

Member Function Documentation

analyzePattern()

template<typename MatrixType_>

template<typename InputMatrixType>

void Eigen::UmfPackLU< MatrixType_ >::analyzePattern ( const InputMatrixType & matrix )

inline

Performs a symbolic decomposition on the sparsity of matrix.

This function is particularly useful when solving for several problems having the same structure.

See also

factorize(), compute()

compute()

template<typename MatrixType_>

template<typename InputMatrixType>

void Eigen::UmfPackLU< MatrixType_ >::compute ( const InputMatrixType & matrix )

inline

Computes the sparse Cholesky decomposition of matrix Note that the matrix should be column-major, and in compressed format for best performance.

See also

SparseMatrix::makeCompressed().

factorize()

template<typename MatrixType_>

template<typename InputMatrixType>

void Eigen::UmfPackLU< MatrixType_ >::factorize ( const InputMatrixType & matrix )

inline

Performs a numeric decomposition of matrix

The given matrix must have the same sparsity than the matrix on which the pattern anylysis has been performed.

See also

analyzePattern(), compute()

info()

template<typename MatrixType_>

ComputationInfo Eigen::UmfPackLU< MatrixType_ >::info ( ) const

inline

Reports whether previous computation was successful.

Returns

Success if computation was successful, NumericalIssue if the matrix.appears to be negative.

printUmfpackControl()

template<typename MatrixType_>

void Eigen::UmfPackLU< MatrixType_ >::printUmfpackControl ( )

inline

Prints the current UmfPack control settings.

See also

umfpackControl()

printUmfpackInfo()

template<typename MatrixType_>

void Eigen::UmfPackLU< MatrixType_ >::printUmfpackInfo ( )

inline

Prints statistics collected by UmfPack.

See also

analyzePattern(), compute()

printUmfpackStatus()

template<typename MatrixType_>

void Eigen::UmfPackLU< MatrixType_ >::printUmfpackStatus ( )

inline

Prints the status of the previous factorization operation performed by UmfPack (symbolic or numerical factorization).

See also

analyzePattern(), compute()

umfpackControl() [1/2]

template<typename MatrixType_>

UmfpackControl & Eigen::UmfPackLU< MatrixType_ >::umfpackControl ( )

inline

Provides access to the control settings array used by UmfPack.

If this array contains NaN's, the default values are used.

See UMFPACK documentation for details.

umfpackControl() [2/2]

template<typename MatrixType_>

const UmfpackControl & Eigen::UmfPackLU< MatrixType_ >::umfpackControl ( ) const

inline

Provides access to the control settings array used by UmfPack.

If this array contains NaN's, the default values are used.

See UMFPACK documentation for details.

umfpackFactorizeReturncode()

template<typename MatrixType_>

int Eigen::UmfPackLU< MatrixType_ >::umfpackFactorizeReturncode ( ) const

inline

Provides the return status code returned by UmfPack during the numeric factorization.

See also

factorize(), compute()

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

• /builds/libeigen/eigen/Eigen/src/UmfPackSupport/UmfPackSupport.h