 Eigen  3.4.90 (git rev 67eeba6e720c5745abc77ae6c92ce0a44aa7b7ae) 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() = 1;
Template Parameters
 MatrixType_ the type of the sparse matrix A, it must be a SparseMatrix<>

This class follows the sparse solver concept .

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

## ◆ solve() [1/2]

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

## ◆ solve() [2/2]

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