// Copyright (c) 2005  INRIA Sophia-Antipolis (France).
// All rights reserved.
//
// This file is part of CGAL (www.cgal.org).
// You can redistribute it and/or modify it under the terms of the GNU
// 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.
//
// $URL$
// $Id$
// SPDX-License-Identifier: GPL-3.0+
//
// Author(s) : Pierre Alliez and Sylvain Pion and Ankit Gupta and Simon Giraudot

#ifndef CGAL_LINEAR_LEAST_SQUARES_FITTING_UTIL_EIGEN_H
#define CGAL_LINEAR_LEAST_SQUARES_FITTING_UTIL_EIGEN_H

#include <CGAL/license/Principal_component_analysis.h>

#include <CGAL/Eigen_diagonalize_traits.h>
#include <CGAL/Default_diagonalize_traits.h>
#include <CGAL/Dimension.h>

namespace CGAL {

namespace internal {

// assemble covariance matrix from a triangle set 
template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond,
			     typename Eigen_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K&,                    // kernel
                             const typename K::Triangle_3*,// used for indirection
                             const CGAL::Dimension_tag<2>&,
			     const Eigen_diagonalize_traits<typename K::FT, 3>&)
{
  typedef typename K::FT          FT;
  typedef typename K::Triangle_3  Triangle;
  typedef typename Eigen::Matrix<FT, 3, 3> Matrix;

  // assemble covariance matrix as a semi-definite matrix. 
  // Matrix numbering:
  // 0 1 2
  //   3 4
  //     5          
  //Final combined covariance matrix for all triangles and their combined mass
  FT mass = 0.0;

  // assemble 2nd order moment about the origin.  
  Matrix moment;
  moment << 1.0/12.0, 1.0/24.0, 1.0/24.0,
            1.0/24.0, 1.0/12.0, 1.0/24.0,
            1.0/24.0, 1.0/24.0, 1.0/12.0;

  for(InputIterator it = first;
      it != beyond;
      it++)
  {
    // Now for each triangle, construct the 2nd order moment about the origin.
    // assemble the transformation matrix.
    const Triangle& t = *it;

    // defined for convenience.
    Matrix transformation;
    transformation << t[0].x(), t[1].x(), t[2].x(), 
                      t[0].y(), t[1].y(), t[2].y(),
                      t[0].z(), t[1].z(), t[2].z();

    FT area = std::sqrt(t.squared_area());

		// skip zero measure primitives
    if(area == (FT)0.0)
			continue;

    // Find the 2nd order moment for the triangle wrt to the origin by an affine transformation.
    
    // Transform the standard 2nd order moment using the transformation matrix
    transformation = 2 * area * transformation * moment * transformation.transpose();
    
    // and add to covariance matrix
    covariance[0] += transformation(0,0);
    covariance[1] += transformation(1,0);
    covariance[2] += transformation(2,0);
    covariance[3] += transformation(1,1);
    covariance[4] += transformation(2,1);
    covariance[5] += transformation(2,2);

    mass += area;
  }

  // Translate the 2nd order moment calculated about the origin to
  // the center of mass to get the covariance.
  covariance[0] += mass * (-1.0 * c.x() * c.x());
  covariance[1] += mass * (-1.0 * c.x() * c.y());
  covariance[2] += mass * (-1.0 * c.z() * c.x());
  covariance[3] += mass * (-1.0 * c.y() * c.y());
  covariance[4] += mass * (-1.0 * c.z() * c.y());
  covariance[5] += mass * (-1.0 * c.z() * c.z());

}

// assemble covariance matrix from a cuboid set 
template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond,
			     typename Eigen_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& ,                    // kernel
                             const typename K::Iso_cuboid_3*,// used for indirection
                             const CGAL::Dimension_tag<3>&,
			     const Eigen_diagonalize_traits<typename K::FT, 3>&)
{
  typedef typename K::FT          FT;
  typedef typename K::Iso_cuboid_3    Iso_cuboid;
  typedef typename Eigen::Matrix<FT, 3, 3> Matrix;

  // assemble covariance matrix as a semi-definite matrix. 
  // Matrix numbering:
  // 0 1 2
  //   3 4
  //     5          
  // final combined covariance matrix for all cuboids and their combined mass
  FT mass = (FT)0.0;

  // assemble 2nd order moment about the origin.  
  Matrix moment;
  moment << (FT)(1.0/3.0), (FT)(1.0/4.0), (FT)(1.0/4.0),
            (FT)(1.0/4.0), (FT)(1.0/3.0), (FT)(1.0/4.0),
            (FT)(1.0/4.0), (FT)(1.0/4.0), (FT)(1.0/3.0);

  for(InputIterator it = first;
      it != beyond;
      it++)
  {
    // Now for each cuboid, construct the 2nd order moment about the origin.
    // assemble the transformation matrix.
    const Iso_cuboid& t = *it;

    // defined for convenience.
    // FT example = CGAL::to_double(t[0].x());
    FT x0 = t[0].x();
    FT y0 = t[0].y();
    FT z0 = t[0].z();
    FT delta[9] = {t[0].x(), t[1].x(), t[2].x(), 
                   t[0].y(), t[1].y(), t[2].y(),
                   t[0].z(), t[1].z(), t[2].z()};
    Matrix transformation (delta);
    FT volume = t.volume();

		// skip zero measure primitives
    if(volume == (FT)0.0)
			continue;

    // Find the 2nd order moment for the cuboid wrt to the origin by an affine transformation.
    
    // Transform the standard 2nd order moment using the transformation matrix
    transformation = volume * transformation * moment * transformation.transpose();
    
    // Translate the 2nd order moment to the minimum corner (x0,y0,z0) of the cuboid.
    FT xav0 = (delta[0] + delta[1] + delta[2])/4.0;
    FT yav0 = (delta[3] + delta[4] + delta[5])/4.0;
    FT zav0 = (delta[6] + delta[7] + delta[8])/4.0;

    // and add to covariance matrix
    covariance[0] += transformation(0,0) + volume * (2*x0*xav0 + x0*x0);
    covariance[1] += transformation(1,0) + volume * (xav0*y0 + yav0*x0 + x0*y0);
    covariance[2] += transformation(2,0) + volume * (x0*zav0 + xav0*z0 + x0*z0);
    covariance[3] += transformation(1,1) + volume * (2*y0*yav0 + y0*y0);
    covariance[4] += transformation(2,1) + volume * (yav0*z0 + y0*zav0 + z0*y0);
    covariance[5] += transformation(2,2) + volume * (2*zav0*z0 + z0*z0);

    mass += volume;
  }

  // Translate the 2nd order moment calculated about the origin to
  // the center of mass to get the covariance.
  covariance[0] += mass * (- c.x() * c.x());
  covariance[1] += mass * (- c.x() * c.y());
  covariance[2] += mass * (- c.z() * c.x());
  covariance[3] += mass * (- c.y() * c.y());
  covariance[4] += mass * (- c.z() * c.y());
  covariance[5] += mass * (- c.z() * c.z());
}

// assemble covariance matrix from a cuboid set 
template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond, 
			     typename Eigen_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& ,                    // kernel
                             const typename K::Iso_cuboid_3*,// used for indirection
                             const CGAL::Dimension_tag<2>&,
			     const Eigen_diagonalize_traits<typename K::FT, 3>&)
{
  typedef typename K::FT FT;
  typedef typename K::Iso_cuboid_3 Iso_cuboid;
  typedef typename Eigen::Matrix<FT, 3, 3> Matrix;

  // assemble covariance matrix as a semi-definite matrix. 
  // Matrix numbering:
  // 0 1 2
  //   3 4
  //     5          
  //Final combined covariance matrix for all cuboids and their combined mass
  FT mass = (FT)0.0;

  // assemble 2nd order moment about the origin.  
  Matrix moment;
  moment << (FT)(7.0/3.0), (FT)1.5,       (FT)1.5,
            (FT)1.5,       (FT)(7.0/3.0), (FT)1.5,
            (FT)1.5,       (FT)1.5,       (FT)(7.0/3.0);

  for(InputIterator it = first;
      it != beyond;
      it++)
  {
    // Now for each cuboid, construct the 2nd order moment about the origin.
    // assemble the transformation matrix.
    const Iso_cuboid& t = *it;

    // defined for convenience.
    FT x0 = t[0].x();
    FT y0 = t[0].y();
    FT z0 = t[0].z();
    FT delta[9] = {t[1].x()-x0, t[3].x()-x0, t[5].x()-x0, 
                   t[1].y()-y0, t[3].y()-y0, t[5].y()-y0,
                   t[1].z()-z0, t[3].z()-z0, t[5].z()-z0};
    Matrix transformation (delta);
    FT area = std::pow(delta[0]*delta[0] + delta[3]*delta[3] +
                  delta[6]*delta[6],1/3.0)*std::pow(delta[1]*delta[1] +
                  delta[4]*delta[4] + delta[7]*delta[7],1/3.0)*2 +
                  std::pow(delta[0]*delta[0] + delta[3]*delta[3] +
                  delta[6]*delta[6],1/3.0)*std::pow(delta[2]*delta[2] +
                  delta[5]*delta[5] + delta[8]*delta[8],1/3.0)*2 +
                  std::pow(delta[1]*delta[1] + delta[4]*delta[4] +
                  delta[7]*delta[7],1/3.0)*std::pow(delta[2]*delta[2] +
                  delta[5]*delta[5] + delta[8]*delta[8],1/3.0)*2;

		// skip zero measure primitives
    if(area == (FT)0.0)
			continue;

    // Find the 2nd order moment for the cuboid wrt to the origin by an affine transformation.
    
    // Transform the standard 2nd order moment using the transformation matrix
    transformation = area * transformation * moment * transformation.transpose();
    
    // Translate the 2nd order moment to the minimum corner (x0,y0,z0) of the cuboid.
    FT xav0 = (delta[0] + delta[1] + delta[2])/4.0;
    FT yav0 = (delta[3] + delta[4] + delta[5])/4.0;
    FT zav0 = (delta[6] + delta[7] + delta[8])/4.0;

    // and add to covariance matrix
    covariance[0] += transformation(0,0) + area * (2*x0*xav0 + x0*x0);
    covariance[1] += transformation(1,0) + area * (xav0*y0 + yav0*x0 + x0*y0);
    covariance[2] += transformation(2,0) + area * (x0*zav0 + xav0*z0 + x0*z0);
    covariance[3] += transformation(1,1) + area * (2*y0*yav0 + y0*y0);
    covariance[4] += transformation(2,1) + area * (yav0*z0 + y0*zav0 + z0*y0);
    covariance[5] += transformation(2,2) + area * (2*zav0*z0 + z0*z0);

    mass += area;
  }

  // Translate the 2nd order moment calculated about the origin to
  // the center of mass to get the covariance.
  covariance[0] += mass * (-1.0 * c.x() * c.x());
  covariance[1] += mass * (-1.0 * c.x() * c.y());
  covariance[2] += mass * (-1.0 * c.z() * c.x());
  covariance[3] += mass * (-1.0 * c.y() * c.y());
  covariance[4] += mass * (-1.0 * c.z() * c.y());
  covariance[5] += mass * (-1.0 * c.z() * c.z());

}

// assemble covariance matrix from a sphere set 
template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond, 
			     typename Eigen_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K&,                     // kernel
                             const typename K::Sphere_3*,  // used for indirection
                             const CGAL::Dimension_tag<3>&,
			     const Eigen_diagonalize_traits<typename K::FT, 3>&)
{
  typedef typename K::FT          FT;
  typedef typename K::Sphere_3  Sphere;
  typedef typename Eigen::Matrix<FT, 3, 3> Matrix;

  // assemble covariance matrix as a semi-definite matrix. 
  // Matrix numbering:
  // 0 1 2
  //   3 4
  //     5          
  //Final combined covariance matrix for all spheres and their combined mass
  FT mass = 0.0;

  // assemble 2nd order moment about the origin.  
  Matrix moment;
  moment << 4.0/15.0, 0.0,      0.0,
            0.0,      4.0/15.0, 0.0,
            0.0,      0.0,      4.0/15.0;

  for(InputIterator it = first;
      it != beyond;
      it++)
  {
    // Now for each sphere, construct the 2nd order moment about the origin.
    // assemble the transformation matrix.
    const Sphere& t = *it;

    // defined for convenience.
    FT radius = std::sqrt(t.squared_radius());
    Matrix transformation;
    transformation << radius, 0.0, 0.0, 
                      0.0, radius, 0.0,
                      0.0, 0.0, radius;
    FT volume = (FT)(4.0/3.0) * radius * t.squared_radius();

		// skip zero measure primitives
    if(volume == (FT)0.0)
			continue;

    // Find the 2nd order moment for the sphere wrt to the origin by an affine transformation.
    
    // Transform the standard 2nd order moment using the transformation matrix
    transformation = (3.0/4.0) * volume * transformation * moment * transformation.transpose();
    
    // Translate the 2nd order moment to the center of the sphere.
    FT x0 = t.center().x();
    FT y0 = t.center().y();
    FT z0 = t.center().z();

    // and add to covariance matrix
    covariance[0] += transformation(0,0) + volume * x0*x0;
    covariance[1] += transformation(1,0) + volume * x0*y0;
    covariance[2] += transformation(2,0) + volume * x0*z0;
    covariance[3] += transformation(1,1) + volume * y0*y0;
    covariance[4] += transformation(2,1) + volume * z0*y0;
    covariance[5] += transformation(2,2) + volume * z0*z0;

    mass += volume;
  }

  // Translate the 2nd order moment calculated about the origin to
  // the center of mass to get the covariance.
  covariance[0] += mass * (-1.0 * c.x() * c.x());
  covariance[1] += mass * (-1.0 * c.x() * c.y());
  covariance[2] += mass * (-1.0 * c.z() * c.x());
  covariance[3] += mass * (-1.0 * c.y() * c.y());
  covariance[4] += mass * (-1.0 * c.z() * c.y());
  covariance[5] += mass * (-1.0 * c.z() * c.z());

}
// assemble covariance matrix from a sphere set 
template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond, 
			     typename Eigen_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K&,                     // kernel
                             const typename K::Sphere_3*,  // used for indirection
                             const CGAL::Dimension_tag<2>&,
			     const Eigen_diagonalize_traits<typename K::FT, 3>&)
{
  typedef typename K::FT          FT;
  typedef typename K::Sphere_3  Sphere;
  typedef typename Eigen::Matrix<FT, 3, 3> Matrix;

  // assemble covariance matrix as a semi-definite matrix. 
  // Matrix numbering:
  // 0 1 2
  //   3 4
  //     5          
  //Final combined covariance matrix for all spheres and their combined mass
  FT mass = 0.0;

  // assemble 2nd order moment about the origin.  
  Matrix moment;
  moment << 4.0/3.0, 0.0,     0.0,
            0.0,     4.0/3.0, 0.0,
            0.0,     0.0,     4.0/3.0;

  for(InputIterator it = first;
      it != beyond;
      it++)
  {
    // Now for each sphere, construct the 2nd order moment about the origin.
    // assemble the transformation matrix.
    const Sphere& t = *it;

    // defined for convenience.
    // FT example = CGAL::to_double(t[0].x());
    FT radius = std::sqrt(t.squared_radius());
    Matrix transformation;
    transformation << radius, 0.0,    0.0, 
                      0.0,    radius, 0.0,
                      0.0,    0.0,    radius;
    FT area = (FT)4.0 * t.squared_radius();

		// skip zero measure primitives
    if(area == (FT)0.0)
			continue;

    // Find the 2nd order moment for the sphere wrt to the origin by an affine transformation.
    
    // Transform the standard 2nd order moment using the transformation matrix
    transformation = (1.0/4.0) * area * transformation * moment * transformation.transpose();
    
    // Translate the 2nd order moment to the center of the sphere.
    FT x0 = t.center().x();
    FT y0 = t.center().y();
    FT z0 = t.center().z();

    // and add to covariance matrix
    covariance[0] += transformation(0,0) + area * x0*x0;
    covariance[1] += transformation(1,0) + area * x0*y0;
    covariance[2] += transformation(2,0) + area * x0*z0;
    covariance[3] += transformation(1,1) + area * y0*y0;
    covariance[4] += transformation(2,1) + area * z0*y0;
    covariance[5] += transformation(2,2) + area * z0*z0;

    mass += area;
  }

  // Translate the 2nd order moment calculated about the origin to
  // the center of mass to get the covariance.
  covariance[0] += mass * (-1.0 * c.x() * c.x());
  covariance[1] += mass * (-1.0 * c.x() * c.y());
  covariance[2] += mass * (-1.0 * c.z() * c.x());
  covariance[3] += mass * (-1.0 * c.y() * c.y());
  covariance[4] += mass * (-1.0 * c.z() * c.y());
  covariance[5] += mass * (-1.0 * c.z() * c.z());

}

// assemble covariance matrix from a tetrahedron set 
template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond, 
			     typename Eigen_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& ,                    // kernel
                             const typename K::Tetrahedron_3*,// used for indirection
                             const CGAL::Dimension_tag<3>&,
			     const Eigen_diagonalize_traits<typename K::FT, 3>&)
{
  typedef typename K::FT          FT;
  typedef typename K::Tetrahedron_3  Tetrahedron;
  typedef typename Eigen::Matrix<FT, 3, 3> Matrix;

  // assemble covariance matrix as a semi-definite matrix. 
  // Matrix numbering:
  // 0 1 2
  //   3 4
  //     5          
  //Final combined covariance matrix for all tetrahedrons and their combined mass
  FT mass = 0.0;

  // assemble 2nd order moment about the origin.  
  Matrix moment;
  moment << 1.0/60.0,  1.0/120.0, 1.0/120.0,
            1.0/120.0, 1.0/60.0,  1.0/120.0,
            1.0/120.0, 1.0/120.0, 1.0/60.0;
  for(InputIterator it = first;
      it != beyond;
      it++)
  {
    // Now for each tetrahedron, construct the 2nd order moment about the origin.
    // assemble the transformation matrix.
    const Tetrahedron& t = *it;

    // defined for convenience.
    FT x0 = t[0].x();
    FT y0 = t[0].y();
    FT z0 = t[0].z();

    FT delta[9] = {t[1].x()-x0, t[2].x()-x0, t[3].x()-x0, 
                   t[1].y()-y0, t[2].y()-y0, t[3].y()-y0,
                   t[1].z()-z0, t[2].z()-z0, t[3].z()-z0};
    Matrix transformation (delta);
    FT volume = t.volume();

		// skip zero measure primitives
    if(volume == (FT)0.0)
			continue;

    // Find the 2nd order moment for the tetrahedron wrt to the origin by an affine transformation.
    
    // Transform the standard 2nd order moment using the transformation matrix
    transformation = 6 * volume * transformation * moment * transformation.transpose();
    
    // Translate the 2nd order moment to the center of the tetrahedron.
    FT xav0 = (delta[0]+delta[1]+delta[2])/4.0;
    FT yav0 = (delta[3]+delta[4]+delta[5])/4.0;
    FT zav0 = (delta[6]+delta[7]+delta[8])/4.0;

    // and add to covariance matrix
    covariance[0] += transformation(0,0) + volume * (2*x0*xav0 + x0*x0);
    covariance[1] += transformation(1,0) + volume * (xav0*y0 + yav0*x0 + x0*y0);
    covariance[2] += transformation(2,0) + volume * (x0*zav0 + xav0*z0 + x0*z0);
    covariance[3] += transformation(1,1) + volume * (2*y0*yav0 + y0*y0);
    covariance[4] += transformation(2,1) + volume * (yav0*z0 + y0*zav0 + z0*y0);
    covariance[5] += transformation(2,2) + volume * (2*zav0*z0 + z0*z0);

    mass += volume;
  }

  // Translate the 2nd order moment calculated about the origin to
  // the center of mass to get the covariance.
  covariance[0] += mass * (-1.0 * c.x() * c.x());
  covariance[1] += mass * (-1.0 * c.x() * c.y());
  covariance[2] += mass * (-1.0 * c.z() * c.x());
  covariance[3] += mass * (-1.0 * c.y() * c.y());
  covariance[4] += mass * (-1.0 * c.z() * c.y());
  covariance[5] += mass * (-1.0 * c.z() * c.z());
}

// assemble covariance matrix from a segment set 
template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond, 
			     typename Eigen_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& ,                    // kernel
                             const typename K::Segment_3*,// used for indirection
                             const CGAL::Dimension_tag<1>&,
			     const Eigen_diagonalize_traits<typename K::FT, 3>&)
{
  typedef typename K::FT          FT;
  typedef typename K::Segment_3  Segment;
  typedef typename Eigen::Matrix<FT, 3, 3> Matrix;

  // assemble covariance matrix as a semi-definite matrix. 
  // Matrix numbering:
  // 0 1 2
  //   3 4
  //     5          
  //Final combined covariance matrix for all segments and their combined mass
  FT mass = 0.0;

  // assemble 2nd order moment about the origin.  
  Matrix moment;
  moment << 1.0, 0.5, 0.0,
            0.5, 1.0, 0.0,
            0.0, 0.0, 0.0;

  for(InputIterator it = first;
      it != beyond;
      it++)
  {
    // Now for each segment, construct the 2nd order moment about the origin.
    // assemble the transformation matrix.
    const Segment& t = *it;

    // defined for convenience.
    // FT example = CGAL::to_double(t[0].x());
    Matrix transformation;
    transformation << t[0].x(), t[1].x(), 0.0, 
                      t[0].y(), t[1].y(), 0.0,
                      t[0].z(), t[1].z(), 1.0;
    FT length = std::sqrt(t.squared_length());

		// skip zero measure primitives
    if(length == (FT)0.0)
			continue;

    // Find the 2nd order moment for the segment wrt to the origin by an affine transformation.
    
    // Transform the standard 2nd order moment using the transformation matrix
    transformation = length * transformation * moment * transformation.transpose();

    // and add to covariance matrix
    covariance[0] += transformation(0,0);
    covariance[1] += transformation(1,0);
    covariance[2] += transformation(2,0);
    covariance[3] += transformation(1,1);
    covariance[4] += transformation(2,1);
    covariance[5] += transformation(2,2);

    mass += length;
  }

  // Translate the 2nd order moment calculated about the origin to
  // the center of mass to get the covariance.
  covariance[0] += mass * (-1.0 * c.x() * c.x());
  covariance[1] += mass * (-1.0 * c.x() * c.y());
  covariance[2] += mass * (-1.0 * c.z() * c.x());
  covariance[3] += mass * (-1.0 * c.y() * c.y());
  covariance[4] += mass * (-1.0 * c.z() * c.y());
  covariance[5] += mass * (-1.0 * c.z() * c.z());

}

// Variants using default
template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond,
			     typename Default_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& k,                    // kernel
                             const typename K::Triangle_3* t,// used for indirection
                             const CGAL::Dimension_tag<2>& tag,
			     const Default_diagonalize_traits<typename K::FT, 3>&)
{
  assemble_covariance_matrix_3 (first, beyond, covariance, c, k, t, tag,
                                Eigen_diagonalize_traits<typename K::FT, 3>());
}

template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond,
			     typename Default_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& k,                    // kernel
                             const typename K::Iso_cuboid_3* ic,// used for indirection
                             const CGAL::Dimension_tag<3>& tag,
			     const Default_diagonalize_traits<typename K::FT, 3>&)
{
  assemble_covariance_matrix_3 (first, beyond, covariance, c, k, ic, tag,
                                Eigen_diagonalize_traits<typename K::FT, 3>());
}

template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond, 
			     typename Default_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& k,                    // kernel
                             const typename K::Iso_cuboid_3* ic,// used for indirection
                             const CGAL::Dimension_tag<2>& tag,
			     const Default_diagonalize_traits<typename K::FT, 3>&)
{
  assemble_covariance_matrix_3 (first, beyond, covariance, c, k, ic, tag,
                                Eigen_diagonalize_traits<typename K::FT, 3>());
}

template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond, 
			     typename Default_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& k,                     // kernel
                             const typename K::Sphere_3* s,  // used for indirection
                             const CGAL::Dimension_tag<3>& tag,
			     const Default_diagonalize_traits<typename K::FT, 3>&)
{
  assemble_covariance_matrix_3 (first, beyond, covariance, c, k, s, tag,
                                Eigen_diagonalize_traits<typename K::FT, 3>());
}

  
template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond, 
			     typename Default_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& k,                     // kernel
                             const typename K::Sphere_3* s,  // used for indirection
                             const CGAL::Dimension_tag<2>& tag,
			     const Default_diagonalize_traits<typename K::FT, 3>&)
{
  assemble_covariance_matrix_3 (first, beyond, covariance, c, k, s, tag,
                                Eigen_diagonalize_traits<typename K::FT, 3>());
}

template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond, 
			     typename Default_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& k,                    // kernel
                             const typename K::Tetrahedron_3* t,// used for indirection
                             const CGAL::Dimension_tag<3>& tag,
			     const Default_diagonalize_traits<typename K::FT, 3>&)
{
  assemble_covariance_matrix_3 (first, beyond, covariance, c, k, t, tag,
                                Eigen_diagonalize_traits<typename K::FT, 3>());
}

template < typename InputIterator,
           typename K >
void
assemble_covariance_matrix_3(InputIterator first,
                             InputIterator beyond, 
			     typename Default_diagonalize_traits<typename K::FT, 3>::Covariance_matrix& covariance, // covariance matrix
                             const typename K::Point_3& c, // centroid
                             const K& k,                    // kernel
                             const typename K::Segment_3* s,// used for indirection
                             const CGAL::Dimension_tag<1>& tag,
			     const Default_diagonalize_traits<typename K::FT, 3>&)
{
  assemble_covariance_matrix_3 (first, beyond, covariance, c, k, s, tag,
                                Eigen_diagonalize_traits<typename K::FT, 3>());
}

  


} // end namespace internal

} //namespace CGAL

#endif // CGAL_LINEAR_LEAST_SQUARES_FITTING_UTIL_EIGEN_H