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-rw-r--r--src/common/doc/main_page.h28
-rw-r--r--src/common/include/gudhi/distance_functions.h8
-rw-r--r--src/common/include/gudhi/graph_simplicial_complex.h8
-rw-r--r--src/common/include/gudhi/reader_utils.h3
4 files changed, 33 insertions, 14 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> Cl&eacute;ment 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..773889d9 100644
--- a/src/common/include/gudhi/graph_simplicial_complex.h
+++ b/src/common/include/gudhi/graph_simplicial_complex.h
@@ -39,14 +39,14 @@ struct vertex_filtration_t {
typedef boost::vertex_property_tag kind;
};
-typedef int Vertex_handle;
+/*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
@@ -56,7 +56,7 @@ typedef std::pair< Vertex_handle, Vertex_handle > Edge_t;
* The type PointCloud furnishes .begin() and .end() methods, that return
* iterators with value_type Point.
*/
-template< typename PointCloud
+/*template< typename PointCloud
, typename Point >
Graph_t compute_proximity_graph(PointCloud &points
, Filtration_value threshold
@@ -94,6 +94,6 @@ Graph_t compute_proximity_graph(PointCloud &points
}
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);