Eigen::PardisoLU< _MatrixType > Class Template Reference

Detailed Description

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

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

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

By default, it runs in in-core mode. To enable PARDISO's out-of-core feature, set:

solver.pardisoParameterArray()[59] = 1; 

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

Inherits Eigen::PardisoImpl< Derived >.

Additional Inherited Members
Public Member Functions inherited from Eigen::PardisoImpl< Derived >
Derived &	analyzePattern (const MatrixType &matrix)
Derived &	factorize (const MatrixType &matrix)
ComputationInfo	info () const
	Reports whether previous computation was successful. More...
ParameterType &	pardisoParameterArray ()
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 ()

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

• PardisoSupport.h