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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::StorageIndex | StorageIndex |
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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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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 internal::traits< SimplicialLLT< MatrixType_, UpLo_, Ordering_ > >::DiagonalScalar | DiagonalScalar |
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typedef MatrixType::StorageIndex | StorageIndex |
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typedef SparseMatrix< Scalar, ColMajor, StorageIndex > | CholMatrixType |
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typedef CholMatrixType const * | ConstCholMatrixPtr |
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typedef Matrix< Scalar, Dynamic, 1 > | VectorType |
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typedef Matrix< StorageIndex, Dynamic, 1 > | VectorI |
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| SimplicialLLT () |
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| SimplicialLLT (const MatrixType &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) |
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void | analyzePattern (const MatrixType &a) |
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void | factorize (const MatrixType &a) |
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Scalar | determinant () const |
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| SimplicialCholeskyBase () |
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| SimplicialCholeskyBase (const MatrixType &matrix) |
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| ~SimplicialCholeskyBase () |
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SimplicialLLT< MatrixType_, UpLo_, Ordering_ > & | derived () |
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const SimplicialLLT< MatrixType_, UpLo_, Ordering_ > & | derived () const |
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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 PermutationMatrix< Dynamic, Dynamic, StorageIndex > & | permutationP () const |
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const PermutationMatrix< Dynamic, Dynamic, StorageIndex > & | permutationPinv () const |
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SimplicialLLT< MatrixType_, UpLo_, Ordering_ > & | setShift (const DiagonalScalar &offset, const DiagonalScalar &scale=1) |
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void | dumpMemory (Stream &s) |
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void | _solve_impl (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const |
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void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
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| SparseSolverBase () |
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| SparseSolverBase (SparseSolverBase &&other) |
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| ~SparseSolverBase () |
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SimplicialLLT< MatrixType_, UpLo_, Ordering_ > & | derived () |
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const SimplicialLLT< MatrixType_, UpLo_, Ordering_ > & | derived () const |
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const Solve< SimplicialLLT< MatrixType_, UpLo_, Ordering_ >, Rhs > | solve (const MatrixBase< Rhs > &b) const |
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const Solve< SimplicialLLT< MatrixType_, UpLo_, Ordering_ >, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
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void | _solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const |
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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
-
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<> |
\implsparsesolverconcept
- See also
- class SimplicialLDLT, class AMDOrdering, class NaturalOrdering