/* This file is part of the Gudhi Library. The Gudhi library * (Geometric Understanding in Higher Dimensions) is a generic C++ * library for computational topology. * * Author(s): Clément Maria * * Copyright (C) 2014 INRIA * * This program is free software: 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. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program. If not, see . */ #ifndef DISTANCE_FUNCTIONS_H_ #define DISTANCE_FUNCTIONS_H_ #include #include #include #include // for std::sqrt #include // for std::decay #include // for std::begin, std::end #include namespace Gudhi { /** @file * @brief Global distance functions */ /** @brief Compute the Euclidean distance between two Points given by a range of coordinates. The points are assumed to * have the same dimension. */ class Euclidean_distance { public: // boost::range_value is not SFINAE-friendly so we cannot use it in the return type template< typename Point > typename std::iterator_traits::type>::value_type operator()(const Point& p1, const Point& p2) const { auto it1 = std::begin(p1); auto it2 = std::begin(p2); typedef typename boost::range_value::type NT; NT dist = 0; for (; it1 != std::end(p1); ++it1, ++it2) { GUDHI_CHECK(it2 != std::end(p2), "inconsistent point dimensions"); NT tmp = *it1 - *it2; dist += tmp*tmp; } GUDHI_CHECK(it2 == std::end(p2), "inconsistent point dimensions"); using std::sqrt; return sqrt(dist); } template< typename T > T operator() (const std::pair< T, T >& f, const std::pair< T, T >& s) const { T dx = f.first - s.first; T dy = f.second - s.second; using std::sqrt; return sqrt(dx*dx + dy*dy); } }; /** @brief Compute the squared radius between Points given by a range of coordinates. The points are assumed to * have the same dimension. */ class Radius_distance { public: // boost::range_value is not SFINAE-friendly so we cannot use it in the return type template< typename Point > typename std::iterator_traits::type>::value_type operator()(const Point& p1, const Point& p2) const { return Euclidean_distance()(p1, p2) / 2.; } // boost::range_value is not SFINAE-friendly so we cannot use it in the return type template< typename Point_cloud, typename Point_iterator = typename boost::range_const_iterator::type, typename Point= typename std::iterator_traits::value_type, typename Coordinate_iterator = typename boost::range_const_iterator::type, typename Coordinate = typename std::iterator_traits::value_type> Coordinate operator()(const Point_cloud& point_cloud) const { using Min_sphere = Miniball::Miniball>; //Min_sphere ms(point_cloud.begin()->end() - point_cloud.begin()->begin(), point_cloud.begin(),point_cloud.end()); Min_sphere ms(point_cloud.end() - point_cloud.begin(), point_cloud.begin(),point_cloud.end()); #ifdef DEBUG_TRACES std::cout << "Radius on " << point_cloud.end() - point_cloud.begin() << " points = " << std::sqrt(ms.squared_radius()) << std::endl; #endif // DEBUG_TRACES return std::sqrt(ms.squared_radius()); } }; } // namespace Gudhi #endif // DISTANCE_FUNCTIONS_H_