W3cubDocs

/Eigen3

Eigen::PardisoLU

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 >.

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<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:

© Eigen.
Licensed under the MPL2 License.
https://eigen.tuxfamily.org/dox/classEigen_1_1PardisoLU.html