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-/* 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 <http://www.gnu.org/licenses/>.
- */
-
-#ifndef DOC_SIMPLEX_TREE_INTRO_SIMPLEX_TREE_H_
-#define DOC_SIMPLEX_TREE_INTRO_SIMPLEX_TREE_H_
-
-// needs namespace for Doxygen to link on classes
-namespace Gudhi {
-
-
-/** \defgroup simplex_tree Filtered Complexes
- * @{
- * \author Cl&eacute;ment Maria
- *
- * A simplicial complex \f$\mathbf{K}\f$ on a set of vertices \f$V = \{1, \cdots ,|V|\}\f$ is a collection of
- * simplices \f$\{\sigma\}\f$, \f$\sigma \subseteq V\f$ such that
- * \f$\tau \subseteq \sigma \in \mathbf{K} \rightarrow \tau \in \mathbf{K}\f$. The dimension \f$n=|\sigma|-1\f$ of
- * \f$\sigma\f$ is its number of elements minus \f$1\f$.
- *
- * A filtration of a simplicial complex is a function \f$f:\mathbf{K} \rightarrow \mathbb{R}\f$ satisfying
- * \f$f(\tau)\leq f(\sigma)\f$ whenever \f$\tau \subseteq \sigma\f$. Ordering the simplices by increasing filtration
- * values (breaking ties so as a simplex appears after its subsimplices of same filtration value) provides an
- * indexing scheme.
- *
- * \section filteredcomplexesimplementation Implementations
- * \subsection filteredcomplexessimplextree Simplex tree
- * There are two implementation of complexes. The first on is the Simplex_tree data structure. The simplex tree is an
- * efficient and flexible data structure for representing general (filtered) simplicial complexes. The data structure
- * is described in \cite boissonnatmariasimplextreealgorithmica
- * \image html "Simplex_tree_representation.png" "Simplex tree representation"
- *
- * \subsubsection filteredcomplexessimplextreeexamples Examples
- *
- * Here is a list of simplex tree examples :
- * \li <a href="_simplex_tree_2simple_simplex_tree_8cpp-example.html">
- * Simplex_tree/simple_simplex_tree.cpp</a> - Simple simplex tree construction and basic function use.
- *
- * \li <a href="_simplex_tree_2simplex_tree_from_cliques_of_graph_8cpp-example.html">
- * Simplex_tree/simplex_tree_from_cliques_of_graph.cpp</a> - Simplex tree construction from cliques of graph read in
- * a file.
- *
- * Simplex tree construction with \f$\mathbb{Z}/3\mathbb{Z}\f$ coefficients on weighted graph Klein bottle file:
- * \code $> ./simplex_tree_from_cliques_of_graph ../../data/points/Klein_bottle_complex.txt 3 \endcode
- * \code Insert the 1-skeleton in the simplex tree in 0.000404 s.
-max_dim = 3
-Expand the simplex tree in 3.8e-05 s.
-Information of the Simplex Tree:
-Number of vertices = 10 Number of simplices = 98 \endcode
- *
- * \li <a href="_simplex_tree_2example_alpha_shapes_3_simplex_tree_from_off_file_8cpp-example.html">
- * Simplex_tree/example_alpha_shapes_3_simplex_tree_from_off_file.cpp</a> - Simplex tree is computed and displayed
- * from a 3D alpha complex (Requires CGAL, GMP and GMPXX to be installed).
- *
- * \li <a href="_simplex_tree_2graph_expansion_with_blocker_8cpp-example.html">
- * Simplex_tree/graph_expansion_with_blocker.cpp</a> - Simple simplex tree construction from a one-skeleton graph with
- * a simple blocker expansion method.
- *
- * \subsection filteredcomplexeshassecomplex Hasse complex
- * The second one is the Hasse_complex. The Hasse complex is a data structure representing explicitly all co-dimension
- * 1 incidence relations in a complex. It is consequently faster when accessing the boundary of a simplex, but is less
- * compact and harder to construct from scratch.
- *
- * @}
- */
-
-} // namespace Gudhi
-
-#endif // DOC_SIMPLEX_TREE_INTRO_SIMPLEX_TREE_H_