mirror of https://github.com/CGAL/cgal
64 lines
1.5 KiB
C++
64 lines
1.5 KiB
C++
#ifndef CGAL_DEFAULT_DIAGONALIZE_TRAITS_H
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#define CGAL_DEFAULT_DIAGONALIZE_TRAITS_H
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#ifdef CGAL_EIGEN3_ENABLED
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#include <CGAL/Eigen_diagonalize_traits.h>
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#else
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#include <CGAL/Diagonalize_traits.h>
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#endif
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namespace CGAL {
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// Wrapper class designed to automatically use
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// Eigen_diagonalize_traits if Eigen is available and otherwise use
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// the fallback Diagonalize_traits class.
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template <typename FT, unsigned int dim = 3>
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class Default_diagonalize_traits{
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#ifdef CGAL_EIGEN3_ENABLED
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typedef Eigen_diagonalize_traits<FT, dim> Base;
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#else
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typedef Diagonalize_traits<FT, dim> Base;
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#endif
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public:
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typedef cpp11::array<FT, dim> Vector;
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typedef cpp11::array<FT, dim*dim> Matrix;
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typedef cpp11::array<FT, (dim * (dim+1) / 2)> Covariance_matrix;
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static bool
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diagonalize_selfadjoint_covariance_matrix(
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const Covariance_matrix& cov,
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Vector& eigenvalues)
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{
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return Base::diagonalize_selfadjoint_covariance_matrix (cov, eigenvalues);
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}
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static bool
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diagonalize_selfadjoint_covariance_matrix(
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const Covariance_matrix& cov,
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Vector& eigenvalues,
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Matrix& eigenvectors)
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{
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return Base::diagonalize_selfadjoint_covariance_matrix (cov, eigenvalues, eigenvectors);
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}
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// Extract the eigenvector associated to the largest eigenvalue
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static bool
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extract_largest_eigenvector_of_covariance_matrix (
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const Covariance_matrix& cov,
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Vector& normal)
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{
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return Base::extract_largest_eigenvector_of_covariance_matrix (cov, normal);
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}
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};
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} // namespace CGAL
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#endif // CGAL_DEFAULT_DIAGONALIZE_TRAITS_H
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