Public Member Functions | List of all members
SuperILU< _MatrixType > Class Template Reference

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

#include <SuperLUSupport.h>

+ Inheritance diagram for SuperILU< _MatrixType >:

Public Member Functions

void analyzePattern (const MatrixType &matrix)
 
void compute (const MatrixType &matrix)
 
void factorize (const MatrixType &matrix)
 
ComputationInfo info () const
 Reports whether previous computation was successful. More...
 
superlu_options_t & options ()
 
const internal::solve_retval< SuperLUBase, Rhs > solve (const MatrixBase< Rhs > &b) const
 

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 requires SuperLU 4 or later.
Template Parameters
_MatrixTypethe type of the sparse matrix A, it must be a SparseMatrix<>
See also
Solving linear problems, class ConjugateGradient, class BiCGSTAB

Member Function Documentation

◆ analyzePattern()

void 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()

References SuperLUBase< _MatrixType, Derived >::analyzePattern().

◆ compute()

void compute ( const MatrixType &  matrix)
inlineinherited

Computes the sparse Cholesky decomposition of matrix

◆ factorize()

void 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()

References Eigen::InvalidInput, Eigen::NumericalIssue, and Eigen::Success.

◆ info()

ComputationInfo info ( ) const
inlineinherited

Reports whether previous computation was successful.

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

◆ options()

superlu_options_t& options ( )
inlineinherited
Returns
a reference to the Super LU option object to configure the Super LU algorithms.

◆ solve()

const internal::solve_retval<SuperLUBase, Rhs> solve ( const MatrixBase< Rhs > &  b) const
inlineinherited
Returns
the solution x of $ A x = b $ using the current decomposition of A.
See also
compute()
The documentation for this class was generated from the following file: