Eigen  3.4.90 (git rev 5a9f66fb35d03a4da9ef8976e67a61b30aa16dcf)
 
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List of all members | Public Member Functions
Eigen::SimplicialCholesky< MatrixType_, UpLo_, Ordering_ > Class Template Reference
Sparse linear algebra » Reference » SparseCholesky module

Detailed Description

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
+ Inheritance diagram for Eigen::SimplicialCholesky< MatrixType_, UpLo_, Ordering_ >:

Public Member Functions

void analyzePattern (const MatrixType &a)
 
SimplicialCholesky & compute (const MatrixType &matrix)
 
void factorize (const MatrixType &a)
 
- Public Member Functions inherited from Eigen::SimplicialCholeskyBase< SimplicialCholesky< MatrixType_, UpLo_, Ordering_ > >
ComputationInfo info () const
 Reports whether previous computation was successful.
 
const PermutationMatrix< Dynamic, Dynamic, StorageIndex > & permutationP () const
 
const PermutationMatrix< Dynamic, Dynamic, StorageIndex > & permutationPinv () const
 
SimplicialCholesky< MatrixType_, UpLo_, Ordering_ > & setShift (const DiagonalScalar &offset, const DiagonalScalar &scale=1)
 
 SimplicialCholeskyBase ()
 
- Public Member Functions inherited from Eigen::SparseSolverBase< SimplicialCholesky< MatrixType_, UpLo_, Ordering_ > >
const Solve< SimplicialCholesky< MatrixType_, UpLo_, Ordering_ >, Rhs > solve (const MatrixBase< Rhs > &b) const
 
const Solve< SimplicialCholesky< MatrixType_, UpLo_, Ordering_ >, Rhs > solve (const SparseMatrixBase< Rhs > &b) const
 
 SparseSolverBase ()
 

Additional Inherited Members

- Protected Member Functions inherited from Eigen::SimplicialCholeskyBase< SimplicialCholesky< MatrixType_, UpLo_, Ordering_ > >
void compute (const MatrixType &matrix)
 

Member Function Documentation

◆ analyzePattern()

template<typename MatrixType_ , int UpLo_, typename Ordering_ >
void Eigen::SimplicialCholesky< MatrixType_, UpLo_, Ordering_ >::analyzePattern ( const MatrixType & a)
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()

template<typename MatrixType_ , int UpLo_, typename Ordering_ >
SimplicialCholesky & Eigen::SimplicialCholesky< MatrixType_, UpLo_, Ordering_ >::compute ( const MatrixType & matrix)
inline

Computes the sparse Cholesky decomposition of matrix

◆ factorize()

template<typename MatrixType_ , int UpLo_, typename Ordering_ >
void Eigen::SimplicialCholesky< MatrixType_, UpLo_, Ordering_ >::factorize ( const MatrixType & a)
inline

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()
The documentation for this class was generated from the following file: