template<typename MatrixType, int _UpLo>
class Eigen::PardisoLLT< MatrixType, _UpLo >

A sparse direct Cholesky (LLT) factorization and solver based on the PARDISO library.

This class allows to solve for A.X = B sparse linear problems via a LL^T Cholesky factorization using the Intel MKL PARDISO library. The sparse matrix A must be selfajoint and positive definite. 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<>
UpLo	can be any bitwise combination of Upper, Lower. The default is Upper, meaning only the upper triangular part has to be used. Upper|Lower can be used to tell both triangular parts can be used as input.

This class follows the sparse solver concept .

See also

Sparse solver concept, class SimplicialLLT