Eigen  3.4.90 (git rev 67eeba6e720c5745abc77ae6c92ce0a44aa7b7ae)
Eigen::SuperLUBase< MatrixType_, Derived > Class Template Reference

Detailed Description

template<typename MatrixType_, typename Derived>
class Eigen::SuperLUBase< MatrixType_, Derived >

The base class for the direct and incomplete LU factorization of SuperLU.

+ Inheritance diagram for Eigen::SuperLUBase< MatrixType_, Derived >:

Public Member Functions

void analyzePattern (const MatrixType &)
 
void compute (const MatrixType &matrix)
 
ComputationInfo info () const
 Reports whether previous computation was successful. More...
 
superlu_options_t & options ()
 
- Public Member Functions inherited from Eigen::SparseSolverBase< Derived >
template<typename Rhs >
const Solve< Derived, Rhs > solve (const MatrixBase< Rhs > &b) const
 
template<typename Rhs >
const Solve< Derived, Rhs > solve (const SparseMatrixBase< Rhs > &b) const
 
 SparseSolverBase ()
 

Member Function Documentation

◆ analyzePattern()

template<typename MatrixType_ , typename Derived >
void Eigen::SuperLUBase< MatrixType_, Derived >::analyzePattern ( const MatrixType &  )
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()

◆ compute()

template<typename MatrixType_ , typename Derived >
void Eigen::SuperLUBase< MatrixType_, Derived >::compute ( const MatrixType &  matrix)
inline

Computes the sparse Cholesky decomposition of matrix

◆ info()

template<typename MatrixType_ , typename Derived >
ComputationInfo Eigen::SuperLUBase< MatrixType_, Derived >::info ( ) const
inline

Reports whether previous computation was successful.

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

◆ options()

template<typename MatrixType_ , typename Derived >
superlu_options_t& Eigen::SuperLUBase< MatrixType_, Derived >::options ( )
inline
Returns
a reference to the Super LU option object to configure the Super LU algorithms.

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