diff options
Diffstat (limited to 'src/common')
-rw-r--r-- | src/common/doc/main_page.md | 30 | ||||
-rw-r--r-- | src/common/include/gudhi/graph_simplicial_complex.h | 8 |
2 files changed, 38 insertions, 0 deletions
diff --git a/src/common/doc/main_page.md b/src/common/doc/main_page.md index a33d98cd..462d857e 100644 --- a/src/common/doc/main_page.md +++ b/src/common/doc/main_page.md @@ -242,6 +242,36 @@ </tr> </table> +#### Edge collapse + +<table> + <tr> + <td width="35%" rowspan=2> + \image html "edge_collapse_representation.png" + </td> + <td width="50%"> + Edge collapse is able to reduce any flag filtration to a smaller flag filtration with the same persistence, using + only the 1-skeletons of a simplicial complex. + The reduction is exact and the persistence homology of the reduced sequence is identical to the persistence + homology of the input sequence. The resulting method is simple and extremely efficient. + + Computation of edge collapse and persistent homology of a filtered flag complex via edge collapse as described in + \cite edgecollapsesocg2020. + </td> + <td width="15%"> + <b>Author:</b> Siddharth Pritam<br> + <b>Introduced in:</b> GUDHI 2.4.0<br> + <b>Copyright:</b> MIT<br> + <b>Requires:</b> \ref eigen + </td> + </tr> + <tr> + <td colspan=2 height="25"> + <b>User manual:</b> \ref edge_collapse + </td> + </tr> +</table> + ### Cover Complexes <table> <tr> diff --git a/src/common/include/gudhi/graph_simplicial_complex.h b/src/common/include/gudhi/graph_simplicial_complex.h index b8508697..3e7720d7 100644 --- a/src/common/include/gudhi/graph_simplicial_complex.h +++ b/src/common/include/gudhi/graph_simplicial_complex.h @@ -19,6 +19,9 @@ #include <tuple> // for std::tie namespace Gudhi { +/** @file + * @brief Graph simplicial complex methods + */ /* Edge tag for Boost PropertyGraph. */ struct edge_filtration_t { @@ -43,9 +46,14 @@ using Proximity_graph = typename boost::adjacency_list < boost::vecS, boost::vec /** \brief Computes the proximity graph of the points. * + * \fn Gudhi::Proximity_graph<SimplicialComplexForProximityGraph> compute_proximity_graph(const ForwardPointRange& + * points, typename SimplicialComplexForProximityGraph::Filtration_value threshold, Distance distance) + * * 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. * + * \tparam SimplicialComplexForProximityGraph furnishes `Filtration_value` and `Vertex_handle` type definitions. + * * \tparam ForwardPointRange furnishes `.begin()` and `.end()` methods. * * \tparam Distance furnishes `operator()(const Point& p1, const Point& p2)`, where |