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Shapeworks Studio
2.1
Shape analysis software suite
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A direct sparse LLT Cholesky factorizations. More...
#include <SimplicialCholesky.h>
Inheritance diagram for Eigen::SimplicialLLT< _MatrixType, _UpLo >:
Collaboration diagram for Eigen::SimplicialLLT< _MatrixType, _UpLo >:Public Types | |
| enum | { UpLo = _UpLo } |
| typedef _MatrixType | MatrixType |
| typedef SimplicialCholeskyBase< SimplicialLLT > | Base |
| typedef MatrixType::Scalar | Scalar |
| typedef MatrixType::RealScalar | RealScalar |
| typedef MatrixType::Index | Index |
| typedef SparseMatrix< Scalar, ColMajor, Index > | CholMatrixType |
| typedef Matrix< Scalar, Dynamic, 1 > | VectorType |
| typedef internal::traits< SimplicialLLT > | Traits |
| typedef Traits::MatrixL | MatrixL |
| typedef Traits::MatrixU | MatrixU |
Public Types inherited from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > > | |
| enum | |
| typedef internal::traits< SimplicialLLT< _MatrixType, _UpLo > >::MatrixType | MatrixType |
| typedef MatrixType::Scalar | Scalar |
| typedef MatrixType::RealScalar | RealScalar |
| typedef MatrixType::Index | Index |
| typedef SparseMatrix< Scalar, ColMajor, Index > | CholMatrixType |
| typedef Matrix< Scalar, Dynamic, 1 > | VectorType |
Public Member Functions | |
| SimplicialLLT () | |
| SimplicialLLT (const MatrixType &matrix) | |
| const MatrixL | matrixL () const |
| const MatrixU | matrixU () const |
| SimplicialLLT & | compute (const MatrixType &matrix) |
| void | analyzePattern (const MatrixType &a) |
| void | factorize (const MatrixType &a) |
| Scalar | determinant () const |
Public Member Functions inherited from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > > | |
| SimplicialCholeskyBase () | |
| SimplicialCholeskyBase (const MatrixType &matrix) | |
| SimplicialLLT< _MatrixType, _UpLo > & | derived () |
| const SimplicialLLT< _MatrixType, _UpLo > & | derived () const |
| Index | cols () const |
| Index | rows () const |
| ComputationInfo | info () const |
| Reports whether previous computation was successful. More... | |
| const internal::solve_retval< SimplicialCholeskyBase, Rhs > | solve (const MatrixBase< Rhs > &b) const |
| const internal::sparse_solve_retval< SimplicialCholeskyBase, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
| const PermutationMatrix< Dynamic, Dynamic, Index > & | permutationP () const |
| const PermutationMatrix< Dynamic, Dynamic, Index > & | permutationPinv () const |
| SimplicialLLT< _MatrixType, _UpLo > & | setShift (const RealScalar &offset, const RealScalar &scale=1) |
| void | dumpMemory (Stream &s) |
| void | _solve (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const |
Additional Inherited Members | |
Protected Member Functions inherited from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > > | |
| void | compute (const MatrixType &matrix) |
| void | factorize (const MatrixType &a) |
| void | factorize_preordered (const CholMatrixType &a) |
| void | analyzePattern (const MatrixType &a, bool doLDLT) |
| void | analyzePattern_preordered (const CholMatrixType &a, bool doLDLT) |
| void | ordering (const MatrixType &a, CholMatrixType &ap) |
Protected Attributes inherited from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > > | |
| ComputationInfo | m_info |
| bool | m_isInitialized |
| bool | m_factorizationIsOk |
| bool | m_analysisIsOk |
| CholMatrixType | m_matrix |
| VectorType | m_diag |
| VectorXi | m_parent |
| VectorXi | m_nonZerosPerCol |
| PermutationMatrix< Dynamic, Dynamic, Index > | m_P |
| PermutationMatrix< Dynamic, Dynamic, Index > | m_Pinv |
| RealScalar | m_shiftOffset |
| RealScalar | m_shiftScale |
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.
| _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. |
Definition at line 243 of file SimplicialCholesky.h.
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Constructs and performs the LLT factorization of matrix
Definition at line 319 of file SimplicialCholesky.h.
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Performs a symbolic decomposition on the sparcity of matrix.
This function is particularly useful when solving for several problems having the same structure.
Definition at line 347 of file SimplicialCholesky.h.
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Computes the sparse Cholesky decomposition of matrix
Definition at line 335 of file SimplicialCholesky.h.
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Definition at line 364 of file SimplicialCholesky.h.
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Performs a numeric decomposition of matrix
The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
Definition at line 358 of file SimplicialCholesky.h.
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Definition at line 323 of file SimplicialCholesky.h.
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Definition at line 329 of file SimplicialCholesky.h.
1.8.11