MatrixFunction.h File Reference

#include "StemFunction.h"
#include "./InternalHeaderCheck.h"

Go to the source code of this file.

Classes
class	Eigen::internal::MatrixFunctionAtomic< MatrixType >
	Helper class for computing matrix functions of atomic matrices. More...
struct	Eigen::internal::matrix_function_compute< MatrixType, IsComplex >
	Class for computing matrix functions. More...
struct	Eigen::internal::matrix_function_compute< MatrixType, 0 >
struct	Eigen::internal::matrix_function_compute< MatrixType, 1 >
class	Eigen::MatrixFunctionReturnValue< Derived >
	Proxy for the matrix function of some matrix (expression). More...
struct	Eigen::internal::traits< MatrixFunctionReturnValue< Derived > >

Namespaces
namespace	Eigen
namespace	Eigen::internal

Functions
template<typename MatrixType >
NumTraits< typenameMatrixType::Scalar >::Real	Eigen::internal::matrix_function_compute_mu (const MatrixType &A)
template<typename Index , typename ListOfClusters >
ListOfClusters::iterator	Eigen::internal::matrix_function_find_cluster (Index key, ListOfClusters &clusters)
	Find cluster in clusters containing some value. More...
template<typename EivalsType , typename Cluster >
void	Eigen::internal::matrix_function_partition_eigenvalues (const EivalsType &eivals, std::list< Cluster > &clusters)
	Partition eigenvalues in clusters of ei'vals close to each other. More...
template<typename ListOfClusters , typename Index >
void	Eigen::internal::matrix_function_compute_cluster_size (const ListOfClusters &clusters, Matrix< Index, Dynamic, 1 > &clusterSize)
	Compute size of each cluster given a partitioning. More...
template<typename VectorType >
void	Eigen::internal::matrix_function_compute_block_start (const VectorType &clusterSize, VectorType &blockStart)
	Compute start of each block using clusterSize. More...
template<typename EivalsType , typename ListOfClusters , typename VectorType >
void	Eigen::internal::matrix_function_compute_map (const EivalsType &eivals, const ListOfClusters &clusters, VectorType &eivalToCluster)
	Compute mapping of eigenvalue indices to cluster indices. More...
template<typename DynVectorType , typename VectorType >
void	Eigen::internal::matrix_function_compute_permutation (const DynVectorType &blockStart, const DynVectorType &eivalToCluster, VectorType &permutation)
	Compute permutation which groups ei'vals in same cluster together. More...
template<typename VectorType , typename MatrixType >
void	Eigen::internal::matrix_function_permute_schur (VectorType &permutation, MatrixType &U, MatrixType &T)
	Permute Schur decomposition in U and T according to permutation. More...
template<typename MatrixType , typename AtomicType , typename VectorType >
void	Eigen::internal::matrix_function_compute_block_atomic (const MatrixType &T, AtomicType &atomic, const VectorType &blockStart, const VectorType &clusterSize, MatrixType &fT)
	Compute block diagonal part of matrix function. More...
template<typename MatrixType >
MatrixType	Eigen::internal::matrix_function_solve_triangular_sylvester (const MatrixType &A, const MatrixType &B, const MatrixType &C)
	Solve a triangular Sylvester equation AX + XB = C. More...
template<typename MatrixType , typename VectorType >
void	Eigen::internal::matrix_function_compute_above_diagonal (const MatrixType &T, const VectorType &blockStart, const VectorType &clusterSize, MatrixType &fT)
	Compute part of matrix function above block diagonal. More...

Variables
static const float	Eigen::internal::matrix_function_separation = 0.1f
	Maximum distance allowed between eigenvalues to be considered "close". More...