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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
_MatrixTypethe 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...
ParameterTypepardisoParameterArray ()
- 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 ()

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