diff options
Diffstat (limited to 'src/common')
| -rw-r--r-- | src/common/doc/main_page.h | 28 | ||||
| -rw-r--r-- | src/common/include/gudhi/distance_functions.h | 8 | ||||
| -rw-r--r-- | src/common/include/gudhi/graph_simplicial_complex.h | 57 | ||||
| -rw-r--r-- | src/common/include/gudhi/reader_utils.h | 3 |
4 files changed, 29 insertions, 67 deletions
diff --git a/src/common/doc/main_page.h b/src/common/doc/main_page.h index 1a2cb6ba..85310f66 100644 --- a/src/common/doc/main_page.h +++ b/src/common/doc/main_page.h @@ -55,6 +55,23 @@ <b>User manual:</b> \ref cubical_complex - <b>Reference manual:</b> Gudhi::cubical_complex::Bitmap_cubical_complex </td> </tr> + \subsection RipsComplexDataStructure Rips complex + \image html "rips_complex_representation.png" "Rips complex representation" +<table border="0"> + <tr> + <td width="25%"> + <b>Author:</b> Clément Maria<br> + <b>Introduced in:</b> GUDHI 1.4.0<br> + <b>Copyright:</b> GPL v3<br> + </td> + <td width="75%"> + Rips_complex is a simplicial complex constructed from a one skeleton graph.<br> + The filtration value of each edge is computed from a user-given distance function and is inserted until a + user-given threshold value.<br> + <b>User manual:</b> \ref rips_complex - <b>Reference manual:</b> Gudhi::rips_complex::Rips_complex + </td> + </tr> +</table> </table> \subsection SimplexTreeDataStructure Simplex tree \image html "Simplex_tree_representation.png" "Simplex tree representation" @@ -202,8 +219,6 @@ make \endverbatim * * The following example requires the <a target="_blank" href="http://gmplib.org/">GNU Multiple Precision Arithmetic * Library</a> (GMP) and will not be built if GMP is not installed: - * \li <a href="_persistent_cohomology_2performance_rips_persistence_8cpp-example.html"> - * Persistent_cohomology/performance_rips_persistence.cpp</a> * \li <a href="_persistent_cohomology_2rips_multifield_persistence_8cpp-example.html"> * Persistent_cohomology/rips_multifield_persistence.cpp</a> * @@ -291,8 +306,6 @@ make \endverbatim * Persistent_cohomology/alpha_complex_persistence.cpp</a> * \li <a href="_persistent_cohomology_2rips_persistence_via_boundary_matrix_8cpp-example.html"> * Persistent_cohomology/rips_persistence_via_boundary_matrix.cpp</a> - * \li <a href="_persistent_cohomology_2performance_rips_persistence_8cpp-example.html"> - * Persistent_cohomology/performance_rips_persistence.cpp</a> * \li <a href="_persistent_cohomology_2persistence_from_file_8cpp-example.html"> * Persistent_cohomology/persistence_from_file.cpp</a> * \li <a href="_persistent_cohomology_2persistence_from_simple_simplex_tree_8cpp-example.html"> @@ -307,6 +320,10 @@ make \endverbatim * Persistent_cohomology/periodic_alpha_complex_3d_persistence.cpp</a> * \li <a href="_persistent_cohomology_2custom_persistence_sort_8cpp-example.html"> * Persistent_cohomology/custom_persistence_sort.cpp</a> + * \li <a href="_rips_complex_2example_one_skeleton_rips_from_points_8cpp-example.html"> + * Rips_complex/example_one_skeleton_rips_from_points.cpp</a> + * \li <a href="_rips_complex_2example_rips_complex_from_off_file_8cpp-example.html"> + * Rips_complex/example_rips_complex_from_off_file.cpp</a> * * \section Contributions Bug reports and contributions * Please help us improving the quality of the GUDHI library. You may report bugs or suggestions to: @@ -341,7 +358,6 @@ make \endverbatim * @example Persistent_cohomology/alpha_complex_3d_persistence.cpp * @example Persistent_cohomology/alpha_complex_persistence.cpp * @example Persistent_cohomology/rips_persistence_via_boundary_matrix.cpp - * @example Persistent_cohomology/performance_rips_persistence.cpp * @example Persistent_cohomology/periodic_alpha_complex_3d_persistence.cpp * @example Persistent_cohomology/persistence_from_file.cpp * @example Persistent_cohomology/persistence_from_simple_simplex_tree.cpp @@ -349,6 +365,8 @@ make \endverbatim * @example Persistent_cohomology/rips_multifield_persistence.cpp * @example Persistent_cohomology/rips_persistence.cpp * @example Persistent_cohomology/custom_persistence_sort.cpp + * @example Rips_complex/example_one_skeleton_rips_from_points.cpp + * @example Rips_complex/example_rips_complex_from_off_file.cpp * @example Simplex_tree/mini_simplex_tree.cpp * @example Simplex_tree/simple_simplex_tree.cpp * @example Simplex_tree/example_alpha_shapes_3_simplex_tree_from_off_file.cpp diff --git a/src/common/include/gudhi/distance_functions.h b/src/common/include/gudhi/distance_functions.h index cd518581..006df275 100644 --- a/src/common/include/gudhi/distance_functions.h +++ b/src/common/include/gudhi/distance_functions.h @@ -28,13 +28,13 @@ /* Compute the Euclidean distance between two Points given * by a range of coordinates. The points are assumed to have * the same dimension. */ -template< typename Point > -double euclidean_distance(Point &p1, Point &p2) { - double dist = 0.; +template< typename Filtration_value, typename Point > +Filtration_value euclidean_distance(const Point &p1,const Point &p2) { + Filtration_value dist = 0.; auto it1 = p1.begin(); auto it2 = p2.begin(); for (; it1 != p1.end(); ++it1, ++it2) { - double tmp = *it1 - *it2; + Filtration_value tmp = (double)(*it1) - (double)(*it2); dist += tmp*tmp; } return std::sqrt(dist); diff --git a/src/common/include/gudhi/graph_simplicial_complex.h b/src/common/include/gudhi/graph_simplicial_complex.h index 042ef516..9dbcd891 100644 --- a/src/common/include/gudhi/graph_simplicial_complex.h +++ b/src/common/include/gudhi/graph_simplicial_complex.h @@ -39,61 +39,4 @@ struct vertex_filtration_t { typedef boost::vertex_property_tag kind; }; -typedef int Vertex_handle; -typedef double Filtration_value; -typedef boost::adjacency_list < boost::vecS, boost::vecS, boost::undirectedS -, boost::property < vertex_filtration_t, Filtration_value > -, boost::property < edge_filtration_t, Filtration_value > -> Graph_t; -typedef std::pair< Vertex_handle, Vertex_handle > Edge_t; - -/** \brief Output the proximity graph of the points. - * - * If points contains n elements, the proximity graph is the graph - * with n vertices, and an edge [u,v] iff the distance function between - * points u and v is smaller than threshold. - * - * The type PointCloud furnishes .begin() and .end() methods, that return - * iterators with value_type Point. - */ -template< typename PointCloud -, typename Point > -Graph_t compute_proximity_graph(PointCloud &points - , Filtration_value threshold - , Filtration_value distance(Point p1, Point p2)) { - std::vector< Edge_t > edges; - std::vector< Filtration_value > edges_fil; - std::map< Vertex_handle, Filtration_value > vertices; - - Vertex_handle idx_u, idx_v; - Filtration_value fil; - idx_u = 0; - for (auto it_u = points.begin(); it_u != points.end(); ++it_u) { - idx_v = idx_u + 1; - for (auto it_v = it_u + 1; it_v != points.end(); ++it_v, ++idx_v) { - fil = distance(*it_u, *it_v); - if (fil <= threshold) { - edges.emplace_back(idx_u, idx_v); - edges_fil.push_back(fil); - } - } - ++idx_u; - } - - Graph_t skel_graph(edges.begin() - , edges.end() - , edges_fil.begin() - , idx_u); // number of points labeled from 0 to idx_u-1 - - auto vertex_prop = boost::get(vertex_filtration_t(), skel_graph); - - boost::graph_traits<Graph_t>::vertex_iterator vi, vi_end; - for (std::tie(vi, vi_end) = boost::vertices(skel_graph); - vi != vi_end; ++vi) { - boost::put(vertex_prop, *vi, 0.); - } - - return skel_graph; -} - #endif // GRAPH_SIMPLICIAL_COMPLEX_H_ diff --git a/src/common/include/gudhi/reader_utils.h b/src/common/include/gudhi/reader_utils.h index 899f9df6..4154acc9 100644 --- a/src/common/include/gudhi/reader_utils.h +++ b/src/common/include/gudhi/reader_utils.h @@ -77,6 +77,7 @@ inline void read_points(std::string file_name, std::vector< std::vector< double * Every simplex must appear exactly once. * Simplices of dimension more than 1 are ignored. */ +template< typename Graph_t, typename Edge_t, typename Filtration_value, typename Vertex_handle > inline Graph_t read_graph(std::string file_name) { std::ifstream in_(file_name.c_str(), std::ios::in); if (!in_.is_open()) { @@ -130,7 +131,7 @@ inline Graph_t read_graph(std::string file_name) { Graph_t skel_graph(edges.begin(), edges.end(), edges_fil.begin(), vertices.size()); auto vertex_prop = boost::get(vertex_filtration_t(), skel_graph); - boost::graph_traits<Graph_t>::vertex_iterator vi, vi_end; + typename boost::graph_traits<Graph_t>::vertex_iterator vi, vi_end; auto v_it = vertices.begin(); for (std::tie(vi, vi_end) = boost::vertices(skel_graph); vi != vi_end; ++vi, ++v_it) { boost::put(vertex_prop, *vi, v_it->second); |