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 >.

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]