template<typename _MatrixType, int _UpLo = Lower>
class Eigen::CholmodSimplicialLDLT< _MatrixType, _UpLo >

A simplicial direct Cholesky (LDLT) factorization and solver based on Cholmod.

This class allows to solve for A.X = B sparse linear problems via a simplicial LDL^T Cholesky factorization using the Cholmod library. This simplicial variant is equivalent to Eigen's built-in SimplicialLDLT class. Therefore, it has little practical interest. The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices X and B can be either dense or sparse.

Template Parameters

_MatrixType	the type of the sparse matrix A, it must be a SparseMatrix<>
_UpLo	the triangular part that will be used for the computations. It can be Lower or Upper. Default is Lower.

This class follows the sparse solver concept .

This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.

Warning

Only double precision real and complex scalar types are supported by Cholmod.

See also

Sparse solver concept, class CholmodSupernodalLLT, class SimplicialLDLT