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

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

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 allows to solve for A.X = B sparse linear problems via a simplicial LL^T Cholesky factorization using the Cholmod library. This simplicial variant is equivalent to Eigen's built-in SimplicialLLT 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.

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.

Base classes

template<typename _MatrixType, int _UpLo, typename Derived>
class CholmodBase
The base class for the direct Cholesky factorization of Cholmod.