Shapeworks Studio  2.1
Shape analysis software suite
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Eigen::CholmodSupernodalLLT< _MatrixType, _UpLo > Class Template Reference

A supernodal Cholesky (LLT) factorization and solver based on Cholmod. More...

#include <CholmodSupport.h>

+ Inheritance diagram for Eigen::CholmodSupernodalLLT< _MatrixType, _UpLo >:
+ Collaboration diagram for Eigen::CholmodSupernodalLLT< _MatrixType, _UpLo >:

Public Types

typedef _MatrixType MatrixType
 
- Public Types inherited from Eigen::CholmodBase< _MatrixType, _UpLo, CholmodSupernodalLLT< _MatrixType, _UpLo > >
enum  
 
typedef _MatrixType MatrixType
 
typedef MatrixType::Scalar Scalar
 
typedef MatrixType::RealScalar RealScalar
 
typedef MatrixType CholMatrixType
 
typedef MatrixType::Index Index
 

Public Member Functions

 CholmodSupernodalLLT (const MatrixType &matrix)
 
- Public Member Functions inherited from Eigen::CholmodBase< _MatrixType, _UpLo, CholmodSupernodalLLT< _MatrixType, _UpLo > >
 CholmodBase (const MatrixType &matrix)
 
Index cols () const
 
Index rows () const
 
CholmodSupernodalLLT< _MatrixType, _UpLo > & derived ()
 
const CholmodSupernodalLLT< _MatrixType, _UpLo > & derived () const
 
ComputationInfo info () const
 Reports whether previous computation was successful. More...
 
CholmodSupernodalLLT< _MatrixType, _UpLo > & compute (const MatrixType &matrix)
 
const internal::solve_retval< CholmodBase, Rhs > solve (const MatrixBase< Rhs > &b) const
 
const internal::sparse_solve_retval< CholmodBase, Rhs > solve (const SparseMatrixBase< Rhs > &b) const
 
void analyzePattern (const MatrixType &matrix)
 
void factorize (const MatrixType &matrix)
 
cholmod_common & cholmod ()
 
void _solve (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const
 
void _solve (const SparseMatrix< RhsScalar, RhsOptions, RhsIndex > &b, SparseMatrix< DestScalar, DestOptions, DestIndex > &dest) const
 
CholmodSupernodalLLT< _MatrixType, _UpLo > & setShift (const RealScalar &offset)
 
void dumpMemory (Stream &)
 

Protected Member Functions

void init ()
 

Additional Inherited Members

- Protected Attributes inherited from Eigen::CholmodBase< _MatrixType, _UpLo, CholmodSupernodalLLT< _MatrixType, _UpLo > >
cholmod_common m_cholmod
 
cholmod_factor * m_cholmodFactor
 
RealScalar m_shiftOffset [2]
 
ComputationInfo m_info
 
bool m_isInitialized
 
int m_factorizationIsOk
 
int m_analysisIsOk
 

Detailed Description

template<typename _MatrixType, int _UpLo = Lower>
class Eigen::CholmodSupernodalLLT< _MatrixType, _UpLo >

A supernodal Cholesky (LLT) factorization and solver based on Cholmod.

This class allows to solve for A.X = B sparse linear problems via a supernodal LL^T Cholesky factorization using the Cholmod library. This supernodal variant performs best on dense enough problems, e.g., 3D FEM, or very high order 2D FEM. The sparse matrix A must be selfajoint and positive definite. The vectors or matrices X and B can be either dense or sparse.

Template Parameters
_MatrixTypethe type of the sparse matrix A, it must be a SparseMatrix<>
_UpLothe triangular part that will be used for the computations. It can be Lower or Upper. Default is Lower.

This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.

See also
TutorialSparseDirectSolvers

Definition at line 473 of file CholmodSupport.h.


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