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

A supernodal 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 supernodal LL^T Cholesky factorization using the Cholmod library. This supernodal variant performs best on dense enough problems, e.g., 3D FEM, or very high order 2D FEM. 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.