Eigen::AMDOrdering< StorageIndex > Class Template Reference

#include <Ordering.h>

Public Types
typedef PermutationMatrix< Dynamic, Dynamic, StorageIndex >	PermutationType

Public Member Functions
template<typename MatrixType >
void	operator() (const MatrixType &mat, PermutationType &perm)
template<typename SrcType , unsigned int SrcUpLo>
void	operator() (const SparseSelfAdjointView< SrcType, SrcUpLo > &mat, PermutationType &perm)

Detailed Description

template<typename StorageIndex>
class Eigen::AMDOrdering< StorageIndex >

Functor computing the approximate minimum degree ordering If the matrix is not structurally symmetric, an ordering of A^T+A is computed

Template Parameters

StorageIndex

The type of indices of the matrix

See also

COLAMDOrdering

Definition at line 52 of file 3rdparty/Eigen/Eigen/src/OrderingMethods/Ordering.h.

Member Typedef Documentation

template<typename StorageIndex>

typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> Eigen::AMDOrdering< StorageIndex >::PermutationType

Definition at line 55 of file 3rdparty/Eigen/Eigen/src/OrderingMethods/Ordering.h.

Member Function Documentation

template<typename StorageIndex>

template<typename MatrixType >

void Eigen::AMDOrdering< StorageIndex >::operator() ( const MatrixType &  mat, PermutationType &  perm  )

inline

Compute the permutation vector from a sparse matrix This routine is much faster if the input matrix is column-major

Definition at line 61 of file 3rdparty/Eigen/Eigen/src/OrderingMethods/Ordering.h.

template<typename StorageIndex>

template<typename SrcType , unsigned int SrcUpLo>

void Eigen::AMDOrdering< StorageIndex >::operator() ( const SparseSelfAdjointView< SrcType, SrcUpLo > &  mat, PermutationType &  perm  )

inline

Compute the permutation with a selfadjoint matrix

Definition at line 74 of file 3rdparty/Eigen/Eigen/src/OrderingMethods/Ordering.h.

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

• 3rdparty/Eigen/Eigen/src/OrderingMethods/Ordering.h