Classes
class	VectorContainer

Functions
template<typename TValueType , unsigned int VRows, unsigned int VColumns>
const TValueType *	GetPointerToMatrixData (const itk::Matrix< TValueType, VRows, VColumns > &inputMatrix)

template<typename TValueType >
const TValueType *	GetPointerToMatrixData (const vnl_matrix< TValueType > &inputMatrix)

template<typename TValueType , unsigned int VRows, unsigned int VColumns>
const TValueType *	GetPointerToMatrixData (const vnl_matrix_fixed< TValueType, VRows, VColumns > &inputMatrix)


template<typename TArray >
std::vector< int >	sortEigenValuesByMagnitude (TArray &eigenValues, const unsigned int numberOfElements)


template<typename QMatrix >
void	permuteColumnsWithSortIndices (QMatrix &eigenVectors, const std::vector< int > &indicesSortPermutations)

Function Documentation

◆ GetPointerToMatrixData() [1/3]

template<typename TValueType , unsigned int VRows, unsigned int VColumns>

const TValueType * itk::detail::GetPointerToMatrixData ( const itk::Matrix< TValueType, VRows, VColumns > & inputMatrix )

Definition at line 51 of file itkSymmetricEigenAnalysis.h.

References itk::Matrix< T, VRows, VColumns >::GetVnlMatrix().

Referenced by itk::SymmetricEigenAnalysis< TMatrix, TVector, TEigenMatrix >::ComputeEigenValuesAndVectorsWithEigenLibraryImpl(), itk::SymmetricEigenAnalysisFixedDimension< VDimension, TMatrix, TVector, TEigenMatrix >::ComputeEigenValuesAndVectorsWithEigenLibraryImpl(), itk::SymmetricEigenAnalysis< TMatrix, TVector, TEigenMatrix >::ComputeEigenValuesWithEigenLibraryImpl(), and itk::SymmetricEigenAnalysisFixedDimension< VDimension, TMatrix, TVector, TEigenMatrix >::ComputeEigenValuesWithEigenLibraryImpl().

◆ GetPointerToMatrixData() [2/3]

template<typename TValueType >

const TValueType * itk::detail::GetPointerToMatrixData ( const vnl_matrix< TValueType > & inputMatrix )

Definition at line 44 of file itkSymmetricEigenAnalysis.h.

◆ GetPointerToMatrixData() [3/3]

template<typename TValueType , unsigned int VRows, unsigned int VColumns>

const TValueType * itk::detail::GetPointerToMatrixData ( const vnl_matrix_fixed< TValueType, VRows, VColumns > & inputMatrix )

Definition at line 38 of file itkSymmetricEigenAnalysis.h.

◆ permuteColumnsWithSortIndices()

template<typename QMatrix >

void itk::detail::permuteColumnsWithSortIndices	(	QMatrix &	eigenVectors,
		const std::vector< int > &	indicesSortPermutations
	)

Permute a eigenVectors matrix according to the permutation indices computed from the output of a sort function like

See also: detail::sortEigenValuesByMagnitude

Template Parameters

QMatrix a Eigen3 matrix

Parameters

eigenVectors	stored in columns
indicesSortPermutations	container with the permutations from the output of a sort function.

Definition at line 102 of file itkSymmetricEigenAnalysis.h.

Referenced by itk::SymmetricEigenAnalysisFixedDimension< VDimension, TMatrix, TVector, TEigenMatrix >::ComputeEigenValuesAndVectorsWithEigenLibraryImpl(), and itk::SymmetricEigenAnalysis< TMatrix, TVector, TEigenMatrix >::ComputeEigenValuesAndVectorsWithEigenLibraryImpl().

◆ sortEigenValuesByMagnitude()

template<typename TArray >

std::vector< int > itk::detail::sortEigenValuesByMagnitude	(	TArray &	eigenValues,
		const unsigned int	numberOfElements
	)

Sort input to be ordered by magnitude, and returns container with the permutations required for the sorting.

For example, if input eigenValues = {10, 0, 40}, the output would be: {2,0,1} and the eigenValues would be modified in-place: {40, 10, 0}.

The permutations indices is used to order the matrix of eigenVectors.

See also: permuteEigenVectorsWithSortPermutations

Template Parameters

TArray array type with operator []

Parameters

eigenValues	input array, requires operator []
numberOfElements	size of array

Returns: the permutations needed to sort the input array

Definition at line 73 of file itkSymmetricEigenAnalysis.h.

References itk::Math::abs().

Referenced by itk::SymmetricEigenAnalysisFixedDimension< VDimension, TMatrix, TVector, TEigenMatrix >::ComputeEigenValuesAndVectorsWithEigenLibraryImpl(), itk::SymmetricEigenAnalysis< TMatrix, TVector, TEigenMatrix >::ComputeEigenValuesAndVectorsWithEigenLibraryImpl(), itk::SymmetricEigenAnalysis< TMatrix, TVector, TEigenMatrix >::ComputeEigenValuesWithEigenLibraryImpl(), and itk::SymmetricEigenAnalysisFixedDimension< VDimension, TMatrix, TVector, TEigenMatrix >::ComputeEigenValuesWithEigenLibraryImpl().

Classes

Functions