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Eigen
3.4.90 (git rev 67eeba6e720c5745abc77ae6c92ce0a44aa7b7ae)
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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.
| 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.
Inheritance diagram for Eigen::CholmodSimplicialLDLT< MatrixType_, UpLo_ >:Additional Inherited Members | |
Public Member Functions inherited from Eigen::CholmodBase< MatrixType_, Lower, CholmodSimplicialLDLT< MatrixType_, Lower > > | |
| void | analyzePattern (const MatrixType &matrix) |
| cholmod_common & | cholmod () |
| CholmodSimplicialLDLT< MatrixType_, Lower > & | compute (const MatrixType &matrix) |
| Scalar | determinant () const |
| void | factorize (const MatrixType &matrix) |
| ComputationInfo | info () const |
| Reports whether previous computation was successful. More... | |
| Scalar | logDeterminant () const |
| CholmodSimplicialLDLT< MatrixType_, Lower > & | setShift (const RealScalar &offset) |
Public Member Functions inherited from Eigen::SparseSolverBase< Derived > | |
| template<typename Rhs > | |
| const Solve< Derived, Rhs > | solve (const MatrixBase< Rhs > &b) const |
| template<typename Rhs > | |
| const Solve< Derived, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
| SparseSolverBase () | |