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Eigen::PardisoLU< MatrixType > Class Template Reference

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

#include <PardisoSupport.h>

Inheritance diagram for Eigen::PardisoLU< MatrixType >:
Eigen::PardisoImpl< PardisoLU< MatrixType > > Eigen::SparseSolverBase< PardisoLU< MatrixType > > Eigen::internal::noncopyable

Public Member Functions

 PardisoLU (const MatrixType &matrix)
 
- Public Member Functions inherited from Eigen::PardisoImpl< PardisoLU< MatrixType > >
Index cols () const
 
Index rows () const
 
ComputationInfo info () const
 Reports whether previous computation was successful. More...
 
ParameterTypepardisoParameterArray ()
 
PardisoLU< MatrixType > & analyzePattern (const MatrixType &matrix)
 Performs a symbolic decomposition on the sparcity of matrix. More...
 
PardisoLU< MatrixType > & factorize (const MatrixType &matrix)
 Performs a numeric decomposition of matrix. More...
 
PardisoLU< MatrixType > & compute (const MatrixType &matrix)
 
void _solve_impl (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const
 
void _solve_impl (const MatrixBase< BDerived > &b, MatrixBase< XDerived > &x) const
 
- Public Member Functions inherited from Eigen::SparseSolverBase< PardisoLU< MatrixType > >
 SparseSolverBase ()
 Default constructor.
 
PardisoLU< MatrixType > & derived ()
 
const PardisoLU< MatrixType > & derived () const
 
const Solve< PardisoLU< MatrixType >, Rhs > solve (const MatrixBase< Rhs > &b) const
 
const Solve< PardisoLU< MatrixType >, Rhs > solve (const SparseMatrixBase< Rhs > &b) const
 
void _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const
 

Protected Types

typedef PardisoImpl< PardisoLUBase
 
typedef Base::Scalar Scalar
 
typedef Base::RealScalar RealScalar
 
- Protected Types inherited from Eigen::PardisoImpl< PardisoLU< MatrixType > >
typedef SparseSolverBase< PardisoLU< MatrixType > > Base
 
typedef internal::pardiso_traits< PardisoLU< MatrixType > > Traits
 

Protected Member Functions

void getMatrix (const MatrixType &matrix)
 
- Protected Member Functions inherited from Eigen::PardisoImpl< PardisoLU< MatrixType > >
void pardisoRelease ()
 
void pardisoInit (int type)
 
void manageErrorCode (Index error) const
 

Friends

class PardisoImpl< PardisoLU< MatrixType > >
 

Additional Inherited Members

- Public Types inherited from Eigen::PardisoImpl< PardisoLU< MatrixType > >
enum  
 
typedef Traits::MatrixType MatrixType
 
typedef Traits::Scalar Scalar
 
typedef Traits::RealScalar RealScalar
 
typedef Traits::StorageIndex StorageIndex
 
typedef SparseMatrix< Scalar, RowMajor, StorageIndex > SparseMatrixType
 
typedef Matrix< Scalar, Dynamic, 1 > VectorType
 
typedef Matrix< StorageIndex, 1, MatrixType::ColsAtCompileTime > IntRowVectorType
 
typedef Matrix< StorageIndex, MatrixType::RowsAtCompileTime, 1 > IntColVectorType
 
typedef Array< StorageIndex, 64, 1, DontAlign > ParameterType
 
- Protected Attributes inherited from Eigen::PardisoImpl< PardisoLU< MatrixType > >
SparseMatrixType m_matrix
 
ComputationInfo m_info
 
bool m_analysisIsOk
 
bool m_factorizationIsOk
 
StorageIndex m_type
 
StorageIndex m_msglvl
 
void * m_pt [64]
 
ParameterType m_iparm
 
IntColVectorType m_perm
 
Index m_size
 
- Protected Attributes inherited from Eigen::SparseSolverBase< PardisoLU< MatrixType > >
bool m_isInitialized
 

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<>
See also
Sparse solver concept, class SparseLU

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