CGAL::Eigen_diagonalize_traits< FT, dim > Class Template Reference

#include <CGAL/Eigen_diagonalize_traits.h>

Definition

template<typename FT, unsigned int dim = 3>
class CGAL::Eigen_diagonalize_traits< FT, dim >

The class Eigen_diagonalize_traits provides an interface to the diagonalization of covariance matrices of Eigen.

Eigen version 3.1 (or later) must be available on the system.

Template Parameters

FT	Number type
dim	Dimension of the matrices and vectors

Is Model Of:

DiagonalizeTraits

See also

http://eigen.tuxfamily.org/index.php?title=Main_Page

Examples

Solver_interface/diagonalize_matrix.cpp.

Public Types
typedef std::array< FT, dim >	Vector
typedef std::array< FT, dim *dim >	Matrix
typedef std::array< FT,(dim *(dim+1)/2)>	Covariance_matrix

Static Public Member Functions
static bool	diagonalize_selfadjoint_covariance_matrix (const Covariance_matrix &cov, Vector &eigenvalues)
	Fill eigenvalues with the eigenvalues of the covariance matrix represented by cov. More...
static bool	diagonalize_selfadjoint_covariance_matrix (const Covariance_matrix &cov, Vector &eigenvalues, Matrix &eigenvectors)
	Fill eigenvalues with the eigenvalues and eigenvectors with the eigenvectors of the covariance matrix represented by cov. More...
static bool	extract_largest_eigenvector_of_covariance_matrix (const Covariance_matrix &cov, Vector &normal)
	Extract the eigenvector associated to the largest eigenvalue of the covariance matrix represented by cov. More...

Member Typedef Documentation

Covariance_matrix

template<typename FT , unsigned int dim = 3>

typedef std::array<FT, (dim * (dim+1) / 2)> CGAL::Eigen_diagonalize_traits< FT, dim >::Covariance_matrix

Matrix

template<typename FT , unsigned int dim = 3>

typedef std::array<FT, dim*dim> CGAL::Eigen_diagonalize_traits< FT, dim >::Matrix

Vector

template<typename FT , unsigned int dim = 3>

typedef std::array<FT, dim> CGAL::Eigen_diagonalize_traits< FT, dim >::Vector

Member Function Documentation

diagonalize_selfadjoint_covariance_matrix() [1/2]

template<typename FT , unsigned int dim = 3>

static bool CGAL::Eigen_diagonalize_traits< FT, dim >::diagonalize_selfadjoint_covariance_matrix ( const Covariance_matrix &  cov, Vector &  eigenvalues  )

static

Fill eigenvalues with the eigenvalues of the covariance matrix represented by cov.

Eigenvalues are sorted by increasing order.

Returns

true if the operation was successful and false otherwise.

diagonalize_selfadjoint_covariance_matrix() [2/2]

template<typename FT , unsigned int dim = 3>

static bool CGAL::Eigen_diagonalize_traits< FT, dim >::diagonalize_selfadjoint_covariance_matrix ( const Covariance_matrix &  cov, Vector &  eigenvalues, Matrix &  eigenvectors  )

static

Fill eigenvalues with the eigenvalues and eigenvectors with the eigenvectors of the covariance matrix represented by cov.

Eigenvalues are sorted by increasing order.

Returns

true if the operation was successful and false otherwise.

extract_largest_eigenvector_of_covariance_matrix()

template<typename FT , unsigned int dim = 3>

static bool CGAL::Eigen_diagonalize_traits< FT, dim >::extract_largest_eigenvector_of_covariance_matrix ( const Covariance_matrix &  cov, Vector &  normal  )

static

Extract the eigenvector associated to the largest eigenvalue of the covariance matrix represented by cov.

Returns

true if the operation was successful and false otherwise.