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Eigen  3.4.99 (git rev 199c5f2b47eb1f8e5a2d20e60f07e97cd95a6ba6)
Eigen::AMDOrdering< StorageIndex > Class Template Reference

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
StorageIndexThe type of indices of the matrix
See also
COLAMDOrdering

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)
 

Member Function Documentation

◆ operator()() [1/2]

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

◆ operator()() [2/2]

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


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