template<typename _MatrixType, int _UpLo = Lower>
CholmodSupernodalLLT class
A supernodal Cholesky (LLT) factorization and solver based on Cholmod.
Template parameters | |
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_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
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template<typename _MatrixType, int _UpLo, typename Derived>class CholmodBase
- The base class for the direct Cholesky factorization of Cholmod.