Eigen  3.3.7
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 >.

Public Member Functions

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
 

Member Function Documentation

◆ solve() [1/2]

template<typename MatrixType >
template<typename Rhs >
const Solve<Derived, Rhs> Eigen::SparseSolverBase< Derived >::solve ( typename Rhs  )
inline
Returns
an expression of the solution x of $ A x = b $ using the current decomposition of A.
See also
compute()

◆ solve() [2/2]

template<typename MatrixType >
template<typename Rhs >
const Solve<Derived, Rhs> Eigen::SparseSolverBase< Derived >::solve ( typename Rhs  )
inline
Returns
an expression of 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: