/usr/include/CGAL/Default_diagonalize_traits.h is in libcgal-dev 4.11-2build1.
This file is owned by root:root, with mode 0o644.
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//
// This file is part of CGAL (www.cgal.org); you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public License as
// published by the Free Software Foundation; either version 3 of the License,
// or (at your option) any later version.
//
// Licensees holding a valid commercial license may use this file in
// accordance with the commercial license agreement provided with the software.
//
// This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
// WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
//
// $URL$
// $Id$
//
// Author(s) : Simon Giraudot
#ifndef CGAL_DEFAULT_DIAGONALIZE_TRAITS_H
#define CGAL_DEFAULT_DIAGONALIZE_TRAITS_H
#ifdef CGAL_EIGEN3_ENABLED
#include <CGAL/Eigen_diagonalize_traits.h>
#else
#include <CGAL/Diagonalize_traits.h>
#endif
namespace CGAL {
// Wrapper class designed to automatically use
// Eigen_diagonalize_traits if Eigen is available and otherwise use
// the fallback Diagonalize_traits class.
template <typename FT, unsigned int dim = 3>
class Default_diagonalize_traits{
#ifdef CGAL_EIGEN3_ENABLED
typedef Eigen_diagonalize_traits<FT, dim> Base;
#else
typedef Diagonalize_traits<FT, dim> Base;
#endif
public:
typedef cpp11::array<FT, dim> Vector;
typedef cpp11::array<FT, dim*dim> Matrix;
typedef cpp11::array<FT, (dim * (dim+1) / 2)> Covariance_matrix;
static bool
diagonalize_selfadjoint_covariance_matrix(
const Covariance_matrix& cov,
Vector& eigenvalues)
{
return Base::diagonalize_selfadjoint_covariance_matrix (cov, eigenvalues);
}
static bool
diagonalize_selfadjoint_covariance_matrix(
const Covariance_matrix& cov,
Vector& eigenvalues,
Matrix& eigenvectors)
{
return Base::diagonalize_selfadjoint_covariance_matrix (cov, eigenvalues, eigenvectors);
}
// Extract the eigenvector associated to the largest eigenvalue
static bool
extract_largest_eigenvector_of_covariance_matrix (
const Covariance_matrix& cov,
Vector& normal)
{
return Base::extract_largest_eigenvector_of_covariance_matrix (cov, normal);
}
};
} // namespace CGAL
#endif // CGAL_DEFAULT_DIAGONALIZE_TRAITS_H
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