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Eigen::PardisoLDLT< MatrixType, Options > Class Template Reference

A sparse direct Cholesky (LDLT) factorization and solver based on the PARDISO library. More...

#include <PardisoSupport.h>

Inheritance diagram for Eigen::PardisoLDLT< MatrixType, Options >:
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List of all members.

Public Types

enum  { UpLo = Options&(Upper|Lower) }

Public Member Functions

void getMatrix (const MatrixType &matrix)
 PardisoLDLT ()
 PardisoLDLT (const MatrixType &matrix)

Protected Types

typedef PardisoImpl
< PardisoLDLT< MatrixType,
Options > > 
Base
typedef Base::Index Index
typedef Base::RealScalar RealScalar
typedef Base::Scalar Scalar

Private Member Functions

 PardisoLDLT (PardisoLDLT &)

Friends

class PardisoImpl< PardisoLDLT< MatrixType, Options > >

Detailed Description

template<typename MatrixType, int Options>
class Eigen::PardisoLDLT< MatrixType, Options >

A sparse direct Cholesky (LDLT) factorization and solver based on the PARDISO library.

This class allows to solve for A.X = B sparse linear problems via a LDL^T Cholesky factorization using the Intel MKL PARDISO library. The sparse matrix A is assumed to be selfajoint and positive definite. For complex matrices, A can also be symmetric only, see the Options template parameter. 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<>
Optionscan be any bitwise combination of Upper, Lower, and Symmetric. The default is Upper, meaning only the upper triangular part has to be used. Symmetric can be used for symmetric, non-selfadjoint complex matrices, the default being to assume a selfadjoint matrix. Upper|Lower can be used to tell both triangular parts can be used as input.
See also:
TutorialSparseDirectSolvers

Definition at line 518 of file PardisoSupport.h.


Member Typedef Documentation

template<typename MatrixType , int Options>
typedef PardisoImpl< PardisoLDLT<MatrixType,Options> > Eigen::PardisoLDLT< MatrixType, Options >::Base [protected]

Definition at line 521 of file PardisoSupport.h.

template<typename MatrixType , int Options>
typedef Base::Index Eigen::PardisoLDLT< MatrixType, Options >::Index [protected]

Reimplemented from Eigen::PardisoImpl< Derived >.

Definition at line 523 of file PardisoSupport.h.

template<typename MatrixType , int Options>
typedef Base::RealScalar Eigen::PardisoLDLT< MatrixType, Options >::RealScalar [protected]

Reimplemented from Eigen::PardisoImpl< Derived >.

Definition at line 524 of file PardisoSupport.h.

template<typename MatrixType , int Options>
typedef Base::Scalar Eigen::PardisoLDLT< MatrixType, Options >::Scalar [protected]

Reimplemented from Eigen::PardisoImpl< Derived >.

Definition at line 522 of file PardisoSupport.h.


Member Enumeration Documentation

template<typename MatrixType , int Options>
anonymous enum
Enumerator:
UpLo 

Definition at line 533 of file PardisoSupport.h.


Constructor & Destructor Documentation

template<typename MatrixType , int Options>
Eigen::PardisoLDLT< MatrixType, Options >::PardisoLDLT ( ) [inline]

Definition at line 535 of file PardisoSupport.h.

template<typename MatrixType , int Options>
Eigen::PardisoLDLT< MatrixType, Options >::PardisoLDLT ( const MatrixType matrix) [inline]

Definition at line 541 of file PardisoSupport.h.

template<typename MatrixType , int Options>
Eigen::PardisoLDLT< MatrixType, Options >::PardisoLDLT ( PardisoLDLT< MatrixType, Options > &  ) [inline, private]

Definition at line 557 of file PardisoSupport.h.


Member Function Documentation

template<typename MatrixType , int Options>
void Eigen::PardisoLDLT< MatrixType, Options >::getMatrix ( const MatrixType matrix) [inline]

Definition at line 548 of file PardisoSupport.h.


Friends And Related Function Documentation

template<typename MatrixType , int Options>
friend class PardisoImpl< PardisoLDLT< MatrixType, Options > > [friend]

Definition at line 527 of file PardisoSupport.h.


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


turtlebot_exploration_3d
Author(s): Bona , Shawn
autogenerated on Thu Jun 6 2019 21:00:53