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| enum | { ColsAtCompileTime = MatrixType::ColsAtCompileTime
, MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
} |
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typedef _MatrixType | MatrixType |
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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 Matrix< Scalar, Dynamic, 1 > | Vector |
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typedef Matrix< int, 1, MatrixType::ColsAtCompileTime > | IntRowVectorType |
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typedef Matrix< int, MatrixType::RowsAtCompileTime, 1 > | IntColVectorType |
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typedef SparseMatrix< Scalar > | LUMatrixType |
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typedef SparseMatrix< Scalar, ColMajor, int > | KLUMatrixType |
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typedef Ref< const KLUMatrixType, StandardCompressedFormat > | KLUMatrixRef |
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template<typename InputMatrixType > |
| | KLU (const InputMatrixType &matrix) |
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EIGEN_CONSTEXPR Index | rows () const EIGEN_NOEXCEPT |
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EIGEN_CONSTEXPR Index | cols () const EIGEN_NOEXCEPT |
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| ComputationInfo | info () const |
| | Reports whether previous computation was successful.
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| template<typename InputMatrixType > |
| void | compute (const InputMatrixType &matrix) |
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| template<typename InputMatrixType > |
| void | analyzePattern (const InputMatrixType &matrix) |
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| const klu_common & | kluCommon () const |
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| klu_common & | kluCommon () |
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| template<typename InputMatrixType > |
| void | factorize (const InputMatrixType &matrix) |
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template<typename BDerived , typename XDerived > |
| bool | _solve_impl (const MatrixBase< BDerived > &b, MatrixBase< XDerived > &x) const |
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| | SparseSolverBase () |
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KLU< _MatrixType > & | derived () |
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const KLU< _MatrixType > & | derived () const |
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| const Solve< KLU< _MatrixType >, Rhs > | solve (const MatrixBase< Rhs > &b) const |
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| const Solve< KLU< _MatrixType >, 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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void | init () |
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void | analyzePattern_impl () |
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void | factorize_impl () |
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template<typename MatrixDerived > |
| void | grab (const EigenBase< MatrixDerived > &A) |
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void | grab (const KLUMatrixRef &A) |
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KLUMatrixType | m_dummy |
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KLUMatrixRef | mp_matrix |
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klu_numeric * | m_numeric |
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klu_symbolic * | m_symbolic |
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klu_common | m_common |
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ComputationInfo | m_info |
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int | m_factorizationIsOk |
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int | m_analysisIsOk |
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bool | m_extractedDataAreDirty |
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bool | m_isInitialized |
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◆ analyzePattern()
template<typename _MatrixType >
template<typename InputMatrixType >
| void Eigen::KLU< _MatrixType >::analyzePattern |
( |
const InputMatrixType & |
matrix | ) |
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inline |
Performs a symbolic decomposition on the sparcity of matrix.
This function is particularly useful when solving for several problems having the same structure.
- See also
- factorize(), compute()
◆ compute()
template<typename _MatrixType >
template<typename InputMatrixType >
| void Eigen::KLU< _MatrixType >::compute |
( |
const InputMatrixType & |
matrix | ) |
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inline |
Computes the sparse Cholesky decomposition of matrix Note that the matrix should be column-major, and in compressed format for best performance.
- See also
- SparseMatrix::makeCompressed().
◆ factorize()
template<typename _MatrixType >
template<typename InputMatrixType >
| void Eigen::KLU< _MatrixType >::factorize |
( |
const InputMatrixType & |
matrix | ) |
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inline |
Performs a numeric decomposition of matrix
The given matrix must has the same sparcity than the matrix on which the pattern anylysis has been performed.
- See also
- analyzePattern(), compute()
◆ info()
template<typename _MatrixType >
Reports whether previous computation was successful.
- Returns
Success if computation was successful, NumericalIssue if the matrix.appears to be negative.
◆ kluCommon() [1/2]
template<typename _MatrixType >
| klu_common & Eigen::KLU< _MatrixType >::kluCommon |
( |
| ) |
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inline |
Provides access to the control settings array used by UmfPack.
If this array contains NaN's, the default values are used.
See KLU documentation for details.
◆ kluCommon() [2/2]
template<typename _MatrixType >
| const klu_common & Eigen::KLU< _MatrixType >::kluCommon |
( |
| ) |
const |
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inline |
Provides access to the control settings array used by KLU.
See KLU documentation for details.
The documentation for this class was generated from the following file:
- RavEngine/deps/resonance-audio/third_party/eigen/Eigen/src/KLUSupport/KLUSupport.h