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| enum | { UpLo = _UpLo
} |
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typedef _MatrixType | MatrixType |
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typedef SimplicialCholeskyBase< SimplicialLLT > | Base |
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typedef MatrixType::Scalar | Scalar |
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typedef MatrixType::RealScalar | RealScalar |
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typedef MatrixType::Index | Index |
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typedef SparseMatrix< Scalar, ColMajor, Index > | CholMatrixType |
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typedef Matrix< Scalar, Dynamic, 1 > | VectorType |
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typedef internal::traits< SimplicialLLT > | Traits |
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typedef Traits::MatrixL | MatrixL |
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typedef Traits::MatrixU | MatrixU |
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| enum | |
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typedef internal::traits< SimplicialLLT< _MatrixType, _UpLo, _Ordering > >::MatrixType | MatrixType |
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typedef internal::traits< SimplicialLLT< _MatrixType, _UpLo, _Ordering > >::OrderingType | OrderingType |
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typedef MatrixType::Scalar | Scalar |
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typedef MatrixType::RealScalar | RealScalar |
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typedef MatrixType::Index | Index |
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typedef SparseMatrix< Scalar, ColMajor, Index > | CholMatrixType |
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typedef Matrix< Scalar, Dynamic, 1 > | VectorType |
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| SimplicialLLT () |
| | Default constructor.
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| SimplicialLLT (const MatrixType &matrix) |
| | Constructs and performs the LLT factorization of matrix.
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| const MatrixL | matrixL () const |
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| const MatrixU | matrixU () const |
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SimplicialLLT & | compute (const MatrixType &matrix) |
| | Computes the sparse Cholesky decomposition of matrix.
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| void | analyzePattern (const MatrixType &a) |
| | Performs a symbolic decomposition on the sparcity of matrix. More...
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| void | factorize (const MatrixType &a) |
| | Performs a numeric decomposition of matrix. More...
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| Scalar | determinant () const |
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| SimplicialCholeskyBase () |
| | Default constructor.
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| SimplicialCholeskyBase (const MatrixType &matrix) |
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SimplicialLLT< _MatrixType, _UpLo, _Ordering > & | derived () |
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const SimplicialLLT< _MatrixType, _UpLo, _Ordering > & | derived () const |
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Index | cols () const |
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Index | rows () const |
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| ComputationInfo | info () const |
| | Reports whether previous computation was successful. More...
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| const internal::solve_retval< SimplicialCholeskyBase, Rhs > | solve (const MatrixBase< Rhs > &b) const |
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| const internal::sparse_solve_retval< SimplicialCholeskyBase, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
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| const PermutationMatrix< Dynamic, Dynamic, Index > & | permutationP () const |
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| const PermutationMatrix< Dynamic, Dynamic, Index > & | permutationPinv () const |
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| SimplicialLLT< _MatrixType, _UpLo, _Ordering > & | setShift (const RealScalar &offset, const RealScalar &scale=1) |
| | Sets the shift parameters that will be used to adjust the diagonal coefficients during the numerical factorization. More...
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void | dumpMemory (Stream &s) |
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void | _solve (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const |
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void | compute (const MatrixType &matrix) |
| | Computes the sparse Cholesky decomposition of matrix.
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void | factorize (const MatrixType &a) |
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void | factorize_preordered (const CholMatrixType &a) |
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void | analyzePattern (const MatrixType &a, bool doLDLT) |
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void | analyzePattern_preordered (const CholMatrixType &a, bool doLDLT) |
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void | ordering (const MatrixType &a, CholMatrixType &ap) |
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ComputationInfo | m_info |
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bool | m_isInitialized |
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bool | m_factorizationIsOk |
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bool | m_analysisIsOk |
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CholMatrixType | m_matrix |
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VectorType | m_diag |
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VectorXi | m_parent |
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VectorXi | m_nonZerosPerCol |
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PermutationMatrix< Dynamic, Dynamic, Index > | m_P |
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PermutationMatrix< Dynamic, Dynamic, Index > | m_Pinv |
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RealScalar | m_shiftOffset |
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RealScalar | m_shiftScale |
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template<typename _MatrixType, int _UpLo, typename _Ordering>
class Eigen::SimplicialLLT< _MatrixType, _UpLo, _Ordering >
A direct sparse LLT Cholesky factorizations.
This class provides a LL^T Cholesky factorizations of sparse matrices that are selfadjoint and positive definite. The factorization allows for solving A.X = B where X and B can be either dense or sparse.
In order to reduce the fill-in, a symmetric permutation P is applied prior to the factorization such that the factorized matrix is P A P^-1.
- 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. |
| _Ordering | The ordering method to use, either AMDOrdering<> or NaturalOrdering<>. Default is AMDOrdering<> |
- See also
- class SimplicialLDLT, class AMDOrdering, class NaturalOrdering