template<typename _MatrixType, int _UpLo, typename _Ordering>
class Eigen::SimplicialCholesky< _MatrixType, _UpLo, _Ordering >
- Deprecated:
- use SimplicialLDLT or class SimplicialLLT
- See also
- class SimplicialLDLT, class SimplicialLLT
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void | analyzePattern (const MatrixType &a) |
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SimplicialCholesky & | compute (const MatrixType &matrix) |
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void | factorize (const MatrixType &a) |
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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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SimplicialCholesky< _MatrixType, _UpLo, _Ordering > & | setShift (const RealScalar &offset, const RealScalar &scale=1) |
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const Solve< SimplicialCholesky< _MatrixType, _UpLo, _Ordering >, Rhs > | solve (const MatrixBase< Rhs > &b) const |
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const Solve< SimplicialCholesky< _MatrixType, _UpLo, _Ordering >, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
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template<typename _MatrixType, int _UpLo, typename _Ordering>
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()
template<typename _MatrixType, int _UpLo, typename _Ordering>
Computes the sparse Cholesky decomposition of matrix
template<typename _MatrixType, int _UpLo, typename _Ordering>
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.
- See also
- analyzePattern()
Reports whether previous computation was successful.
- Returns
Success
if computation was succesful, NumericalIssue
if the matrix.appears to be negative.
Sets the shift parameters that will be used to adjust the diagonal coefficients during the numerical factorization.
During the numerical factorization, the diagonal coefficients are transformed by the following linear model:
d_ii
= offset + scale * d_ii
The default is the identity transformation with offset=0, and scale=1.
- Returns
- a reference to
*this
.
- Returns
- an expression of the solution x of
using the current decomposition of A.
- See also
- compute()
- Returns
- an expression of the solution x of
using the current decomposition of A.
- See also
- compute()
The documentation for this class was generated from the following file: