Eigen::SuperILU< _MatrixType > Class Template Reference

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Detailed Description

template<typename _MatrixType>
class Eigen::SuperILU< _MatrixType >

A sparse direct incomplete LU factorization and solver based on the SuperLU library.

This class allows to solve for an approximate solution of A.X = B sparse linear problems via an incomplete LU factorization using the SuperLU library. This class is aimed to be used as a preconditioner of the iterative linear solvers.

Warning:

This class is only for the 4.x versions of SuperLU. The 3.x and 5.x versions are not supported.

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 IncompleteLUT, class ConjugateGradient, class BiCGSTAB

Inheritance diagram for Eigen::SuperILU< _MatrixType >:

List of all members.

Public Member Functions
void	analyzePattern (const MatrixType &matrix)
void	factorize (const MatrixType &matrix)

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Member Function Documentation

template<typename _MatrixType >

void Eigen::SuperILU< _MatrixType >::analyzePattern

(

const MatrixType &

matrix

)

[inline]

Performs a symbolic decomposition on the sparcity of matrix.

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

See also:

factorize()

Reimplemented from Eigen::SuperLUBase< _MatrixType, SuperILU< _MatrixType > >.

template<typename MatrixType >

void Eigen::SuperILU< MatrixType >::factorize

(

const MatrixType &

matrix

)

Performs a numeric decomposition of matrix

The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.

See also:

analyzePattern()

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

• SuperLUSupport.h