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diff --git a/trunk/src/common/doc/main_page.h b/trunk/src/common/doc/main_page.h new file mode 100644 index 00000000..d6569f0c --- /dev/null +++ b/trunk/src/common/doc/main_page.h @@ -0,0 +1,489 @@ +/*! \mainpage The C++ library + * \tableofcontents + * \image html "Gudhi_banner.png" "" width=20cm + * + * \section Introduction Introduction + * The GUDHI library (Geometry Understanding in Higher Dimensions) is a generic open source + * <a class="el" target="_blank" href="http://gudhi.gforge.inria.fr/doc/latest/">C++ library</a> for + * Computational Topology and Topological Data Analysis + * (<a class="el" target="_blank" href="https://en.wikipedia.org/wiki/Topological_data_analysis">TDA</a>). + * The GUDHI library intends to help the development of new algorithmic solutions in TDA and their transfer to + * applications. It provides robust, efficient, flexible and easy to use implementations of state-of-the-art + * algorithms and data structures. + * + * The current release of the GUDHI library includes: + * + * \li Data structures to represent, construct and manipulate simplicial complexes. + * \li Simplification of simplicial complexes by edge contraction. + * \li Algorithms to compute persistent homology and bottleneck distance. + * + * All data-structures are generic and several of their aspects can be parameterized via template classes. + * We refer to \cite gudhilibrary_ICMS14 for a detailed description of the design of the library. + * + \section DataStructures Data structures + \subsection AlphaComplexDataStructure Alpha complex + \image html "alpha_complex_representation.png" "Alpha complex representation" +<table border="0"> + <tr> + <td width="25%"> + <b>Author:</b> Vincent Rouvreau<br> + <b>Introduced in:</b> GUDHI 1.3.0<br> + <b>Copyright:</b> GPL v3<br> + <b>Requires:</b> \ref cgal ≥ 4.7.0 and \ref eigen3 + </td> + <td width="75%"> + Alpha_complex is a simplicial complex constructed from the finite cells of a Delaunay Triangulation.<br> + The filtration value of each simplex is computed as the square of the circumradius of the simplex if the + circumsphere is empty (the simplex is then said to be Gabriel), and as the minimum of the filtration + values of the codimension 1 cofaces that make it not Gabriel otherwise. + All simplices that have a filtration value strictly greater than a given alpha squared value are not inserted into + the complex.<br> + <b>User manual:</b> \ref alpha_complex - <b>Reference manual:</b> Gudhi::alpha_complex::Alpha_complex + </td> + </tr> +</table> + \subsection CubicalComplexDataStructure Cubical complex + \image html "Cubical_complex_representation.png" "Cubical complex representation" +<table border="0"> + <tr> + <td width="25%"> + <b>Author:</b> Pawel Dlotko<br> + <b>Introduced in:</b> GUDHI 1.3.0<br> + <b>Copyright:</b> GPL v3<br> + </td> + <td width="75%"> + The cubical complex is an example of a structured complex useful in computational mathematics (specially + rigorous numerics) and image analysis.<br> + <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, Pawel Dlotko, Vincent Rouvreau<br> + <b>Introduced in:</b> GUDHI 2.0.0<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> + This complex can be built from a point cloud and a distance function, or from a distance matrix.<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" +<table border="0"> + <tr> + <td width="25%"> + <b>Author:</b> Clément Maria<br> + <b>Introduced in:</b> GUDHI 1.0.0<br> + <b>Copyright:</b> GPL v3<br> + </td> + <td width="75%"> + The simplex tree is an efficient and flexible + data structure for representing general (filtered) simplicial complexes. The data structure + is described in \cite boissonnatmariasimplextreealgorithmica .<br> + <b>User manual:</b> \ref simplex_tree - <b>Reference manual:</b> Gudhi::Simplex_tree + </td> + </tr> +</table> + \subsection SkeletonBlockerDataStructure Skeleton blocker + \image html "ds_representation.png" "Skeleton blocker representation" +<table border="0"> + <tr> + <td width="25%"> + <b>Author:</b> David Salinas<br> + <b>Introduced in:</b> GUDHI 1.1.0<br> + <b>Copyright:</b> GPL v3<br> + </td> + <td width="75%"> + The Skeleton-Blocker data-structure proposes a light encoding for simplicial complexes by storing only an *implicit* + representation of its simplices \cite socg_blockers_2011,\cite blockers2012. Intuitively, it just stores the + 1-skeleton of a simplicial complex with a graph and the set of its "missing faces" that is very small in practice. + This data-structure handles all simplicial complexes operations such as simplex enumeration or simplex removal but + operations that are particularly efficient are operations that do not require simplex enumeration such as edge + iteration, link computation or simplex contraction.<br> + <b>User manual:</b> \ref skbl - <b>Reference manual:</b> Gudhi::skeleton_blocker::Skeleton_blocker_complex + </td> + </tr> +</table> + \subsection TangentialComplexDataStructure Tangential complex + \image html "tc_examples.png" "Tangential complex representation" +<table border="0"> + <tr> + <td width="25%"> + <b>Author:</b> Clément Jamin<br> + <b>Introduced in:</b> GUDHI 2.0.0<br> + <b>Copyright:</b> GPL v3<br> + <b>Requires:</b> \ref cgal ≥ 4.8.1 and \ref eigen3 + </td> + <td width="75%"> + A Tangential Delaunay complex is a <a target="_blank" href="https://en.wikipedia.org/wiki/Simplicial_complex">simplicial complex</a> + designed to reconstruct a \f$ k \f$-dimensional manifold embedded in \f$ d \f$-dimensional Euclidean space. + The input is a point sample coming from an unknown manifold. + The running time depends only linearly on the extrinsic dimension \f$ d \f$ + and exponentially on the intrinsic dimension \f$ k \f$.<br> + <b>User manual:</b> \ref tangential_complex - <b>Reference manual:</b> Gudhi::tangential_complex::Tangential_complex + </td> + </tr> +</table> + \subsection WitnessComplexDataStructure Witness complex + \image html "Witness_complex_representation.png" "Witness complex representation" +<table border="0"> + <tr> + <td width="25%"> + <b>Author:</b> Siargey Kachanovich<br> + <b>Introduced in:</b> GUDHI 1.3.0<br> + <b>Copyright:</b> GPL v3<br> + <b>Euclidean version requires:</b> \ref cgal ≥ 4.6.0 and \ref eigen3 + </td> + <td width="75%"> + Witness complex \f$ Wit(W,L) \f$ is a simplicial complex defined on two sets of points in \f$\mathbb{R}^D\f$. + The data structure is described in \cite boissonnatmariasimplextreealgorithmica .<br> + <b>User manual:</b> \ref witness_complex - <b>Reference manual:</b> Gudhi::witness_complex::SimplicialComplexForWitness + </td> + </tr> +</table> + + \section Toolbox Toolbox + \subsection BottleneckDistanceToolbox Bottleneck distance + \image html "perturb_pd.png" "Bottleneck distance is the length of the longest edge" +<table border="0"> + <tr> + <td width="25%"> + <b>Author:</b> François Godi<br> + <b>Introduced in:</b> GUDHI 2.0.0<br> + <b>Copyright:</b> GPL v3<br> + <b>Requires:</b> \ref cgal ≥ 4.8.1 + </td> + <td width="75%"> + Bottleneck distance measures the similarity between two persistence diagrams. + It's the shortest distance b for which there exists a perfect matching between + the points of the two diagrams (+ all the diagonal points) such that + any couple of matched points are at distance at most b. + <br> + <b>User manual:</b> \ref bottleneck_distance + </td> + </tr> +</table> + \subsection ContractionToolbox Contraction + \image html "sphere_contraction_representation.png" "Sphere contraction example" +<table border="0"> + <tr> + <td width="25%"> + <b>Author:</b> David Salinas<br> + <b>Introduced in:</b> GUDHI 1.1.0<br> + <b>Copyright:</b> GPL v3<br> + </td> + <td width="75%"> + The purpose of this package is to offer a user-friendly interface for edge contraction simplification of huge + simplicial complexes. It uses the \ref skbl data-structure whose size remains small during simplification of most + used geometrical complexes of topological data analysis such as the Rips or the Delaunay complexes. In practice, + the size of this data-structure is even much lower than the total number of simplices.<br> + <b>User manual:</b> \ref contr + </td> + </tr> +</table> + \subsection PersistentCohomologyToolbox Persistent Cohomology + \image html "3DTorus_poch.png" "Rips Persistent Cohomology on a 3D Torus" +<table border="0"> + <tr> + <td width="25%"> + <b>Author:</b> Clément Maria<br> + <b>Introduced in:</b> GUDHI 1.0.0<br> + <b>Copyright:</b> GPL v3<br> + </td> + <td width="75%"> + The theory of homology consists in attaching to a topological space a sequence of (homology) groups, capturing + global topological features like connected components, holes, cavities, etc. Persistent homology studies the + evolution -- birth, life and death -- of these features when the topological space is changing. Consequently, the + theory is essentially composed of three elements: topological spaces, their homology groups and an evolution + scheme. + Computation of persistent cohomology using the algorithm of \cite DBLP:journals/dcg/SilvaMV11 and + \cite DBLP:journals/corr/abs-1208-5018 and the Compressed Annotation Matrix implementation of + \cite DBLP:conf/esa/BoissonnatDM13 .<br> + <b>User manual:</b> \ref persistent_cohomology - <b>Reference manual:</b> Gudhi::persistent_cohomology::Persistent_cohomology + </td> + </tr> +</table> +*/ + +/*! \page installation GUDHI installation + * \tableofcontents + * As GUDHI is a header only library, there is no need to install the library. + * + * Examples of GUDHI headers inclusion can be found in \ref demos. + * + * \section compiling Compiling + * The library uses c++11 and requires <a target="_blank" href="http://www.boost.org/">Boost</a> with version 1.48.0 or + * more recent. It is a multi-platform library and compiles on Linux, Mac OSX and Visual Studio 2015. + * + * \subsection demos Demos and examples + * To build the demos and examples, run the following commands in a terminal: +\verbatim cd /path-to-gudhi/ +mkdir build +cd build/ +cmake .. +make \endverbatim + * A list of examples is available <a href="examples.html">here</a>. + * + * \subsection testsuites Test suites + * To test your build, run the following command in a terminal: + * \verbatim make test \endverbatim + * + * \subsection documentationgeneration Documentation + * To generate the documentation, <a target="_blank" href="http://www.doxygen.org/">Doxygen</a> is required. + * Run the following command in a terminal: +\verbatim +make doxygen +# Documentation will be generated in the folder YYYY-MM-DD-hh-mm-ss_GUDHI_X.Y.Z/doc/html/ +# You can customize the directory name by calling `cmake -DUSER_VERSION_DIR=/my/custom/folder` +\endverbatim + * + * \section optionallibrary Optional third-party library + * \subsection gmp GMP + * The multi-field persistent homology algorithm requires GMP which is a free library for arbitrary-precision + * arithmetic, operating on signed integers, rational numbers, and floating point numbers. + * + * 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_2rips_multifield_persistence_8cpp-example.html"> + * Persistent_cohomology/rips_multifield_persistence.cpp</a> + * + * Having GMP version 4.2 or higher installed is recommended. + * + * \subsection cgal CGAL + * The \ref alpha_complex data structure, \ref bottleneck_distance, and few examples requires CGAL, which is a C++ + * library which provides easy access to efficient and reliable geometric algorithms. + * + * \note There is no need to install CGAL, you can just <CODE>cmake . && make</CODE> CGAL (or even + * <CODE>cmake -DCGAL_HEADER_ONLY=ON .</CODE> for CGAL version ≥ 4.8.0), thereafter you will be able to compile + * GUDHI by calling <CODE>cmake -DCGAL_DIR=/your/path/to/CGAL-X.Y .. && make</CODE> + * + * Having CGAL version 4.4.0 or higher installed is recommended. The procedure to install this library according to + * your operating system is detailed here http://doc.cgal.org/latest/Manual/installation.html + * + * The following examples require the <a target="_blank" href="http://www.cgal.org/">Computational Geometry Algorithms + * Library</a> (CGAL \cite cgal:eb-15b) and will not be built if CGAL is not installed: + * \li <a href="_persistent_cohomology_2alpha_complex_3d_persistence_8cpp-example.html"> + * Persistent_cohomology/alpha_complex_3d_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2exact_alpha_complex_3d_persistence_8cpp-example.html"> + * Persistent_cohomology/exact_alpha_complex_3d_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2weighted_alpha_complex_3d_persistence_8cpp-example.html"> + * Persistent_cohomology/weighted_alpha_complex_3d_persistence.cpp</a> + * \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> + * + * The following example requires CGAL version ≥ 4.6.0: + * \li <a href="_witness_complex_2witness_complex_sphere_8cpp-example.html"> + * Witness_complex/witness_complex_sphere.cpp</a> + * + * The following example requires CGAL version ≥ 4.7.0: + * \li <a href="_alpha_complex_2_alpha_complex_from_off_8cpp-example.html"> + * Alpha_complex/Alpha_complex_from_off.cpp</a> + * \li <a href="_alpha_complex_2_alpha_complex_from_points_8cpp-example.html"> + * Alpha_complex/Alpha_complex_from_points.cpp</a> + * \li <a href="_persistent_cohomology_2alpha_complex_persistence_8cpp-example.html"> + * Persistent_cohomology/alpha_complex_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2periodic_alpha_complex_3d_persistence_8cpp-example.html"> + * 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> + * + * The following example requires CGAL version ≥ 4.8.1: + * \li <a href="_bottleneck_distance_2alpha_rips_persistence_bottleneck_distance_8cpp-example.html"> + * Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp.cpp</a> + * \li <a href="_bottleneck_distance_2bottleneck_basic_example_8cpp-example.html"> + * Bottleneck_distance/bottleneck_basic_example.cpp</a> + * \li <a href="_bottleneck_distance_2bottleneck_read_file_example_8cpp-example.html"> + * Bottleneck_distance/bottleneck_read_file_example.cpp</a> + * \li <a href="_spatial_searching_2example_spatial_searching_8cpp-example.html"> + * Spatial_searching/example_spatial_searching.cpp</a> + * \li <a href="_subsampling_2example_choose_n_farthest_points_8cpp-example.html"> + * Subsampling/example_choose_n_farthest_points.cpp</a> + * \li <a href="_subsampling_2example_custom_kernel_8cpp-example.html"> + * Subsampling/example_custom_kernel.cpp</a> + * \li <a href="_subsampling_2example_pick_n_random_points_8cpp-example.html"> + * Subsampling/example_pick_n_random_points.cpp</a> + * \li <a href="_subsampling_2example_sparsify_point_set_8cpp-example.html"> + * Subsampling/example_sparsify_point_set.cpp</a> + * \li <a href="_tangential_complex_2example_basic_8cpp-example.html"> + * Tangential_complex/example_basic.cpp</a> + * \li <a href="_tangential_complex_2example_with_perturb_8cpp-example.html"> + * Tangential_complex/example_with_perturb.cpp</a> + * + * \subsection eigen3 Eigen3 + * The \ref alpha_complex data structure and few examples requires + * <a target="_blank" href="http://eigen.tuxfamily.org/">Eigen3</a> is a C++ template library for linear algebra: + * matrices, vectors, numerical solvers, and related algorithms. + * + * The following example requires the <a target="_blank" href="http://eigen.tuxfamily.org/">Eigen3</a> and will not be + * built if Eigen3 is not installed: + * \li <a href="_alpha_complex_2_alpha_complex_from_off_8cpp-example.html"> + * Alpha_complex/Alpha_complex_from_off.cpp</a> + * \li <a href="_alpha_complex_2_alpha_complex_from_points_8cpp-example.html"> + * Alpha_complex/Alpha_complex_from_points.cpp</a> + * \li <a href="_bottleneck_distance_2alpha_rips_persistence_bottleneck_distance_8cpp-example.html"> + * Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp.cpp</a> + * \li <a href="_persistent_cohomology_2alpha_complex_persistence_8cpp-example.html"> + * Persistent_cohomology/alpha_complex_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2periodic_alpha_complex_3d_persistence_8cpp-example.html"> + * 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="_spatial_searching_2example_spatial_searching_8cpp-example.html"> + * Spatial_searching/example_spatial_searching.cpp</a> + * \li <a href="_subsampling_2example_choose_n_farthest_points_8cpp-example.html"> + * Subsampling/example_choose_n_farthest_points.cpp</a> + * \li <a href="_subsampling_2example_custom_kernel_8cpp-example.html"> + * Subsampling/example_custom_kernel.cpp</a> + * \li <a href="_subsampling_2example_pick_n_random_points_8cpp-example.html"> + * Subsampling/example_pick_n_random_points.cpp</a> + * \li <a href="_subsampling_2example_sparsify_point_set_8cpp-example.html"> + * Subsampling/example_sparsify_point_set.cpp</a> + * \li <a href="_tangential_complex_2example_basic_8cpp-example.html"> + * Tangential_complex/example_basic.cpp</a> + * \li <a href="_tangential_complex_2example_with_perturb_8cpp-example.html"> + * Tangential_complex/example_with_perturb.cpp</a> + * + * \subsection tbb Threading Building Blocks + * <a target="_blank" href="https://www.threadingbuildingblocks.org/">Intel® TBB</a> lets you easily write parallel + * C++ programs that take full advantage of multicore performance, that are portable and composable, and that have + * future-proof scalability. + * + * Having Intel® TBB installed is recommended to parallelize and accelerate some GUDHI computations. + * + * The following examples are using Intel® TBB if installed: + * \li <a href="_alpha_complex_2_alpha_complex_from_off_8cpp-example.html"> + * Alpha_complex/Alpha_complex_from_off.cpp</a> + * \li <a href="_alpha_complex_2_alpha_complex_from_points_8cpp-example.html"> + * Alpha_complex/Alpha_complex_from_points.cpp</a> + * \li <a href="_bitmap_cubical_complex_2_bitmap_cubical_complex_8cpp-example.html"> + * Bitmap_cubical_complex/Bitmap_cubical_complex.cpp</a> + * \li <a href="_bitmap_cubical_complex_2_bitmap_cubical_complex_periodic_boundary_conditions_8cpp-example.html"> + * Bitmap_cubical_complex/Bitmap_cubical_complex_periodic_boundary_conditions.cpp</a> + * \li <a href="_bitmap_cubical_complex_2_random_bitmap_cubical_complex_8cpp-example.html"> + * Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp</a> + * \li <a href="_persistent_cohomology_2alpha_complex_3d_persistence_8cpp-example.html"> + * Persistent_cohomology/alpha_complex_3d_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2alpha_complex_persistence_8cpp-example.html"> + * Persistent_cohomology/alpha_complex_persistence.cpp</a> + * \li <a href="_simplex_tree_2simple_simplex_tree_8cpp-example.html"> + * Simplex_tree/simple_simplex_tree.cpp</a> + * \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> + * \li <a href="_simplex_tree_2simplex_tree_from_cliques_of_graph_8cpp-example.html"> + * Simplex_tree/simplex_tree_from_cliques_of_graph.cpp</a> + * \li <a href="_simplex_tree_2graph_expansion_with_blocker_8cpp-example.html"> + * Simplex_tree/graph_expansion_with_blocker.cpp</a> + * \li <a href="_persistent_cohomology_2alpha_complex_3d_persistence_8cpp-example.html"> + * Persistent_cohomology/alpha_complex_3d_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2alpha_complex_persistence_8cpp-example.html"> + * 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_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"> + * Persistent_cohomology/persistence_from_simple_simplex_tree.cpp</a> + * \li <a href="_persistent_cohomology_2plain_homology_8cpp-example.html"> + * Persistent_cohomology/plain_homology.cpp</a> + * \li <a href="_persistent_cohomology_2rips_distance_matrix_persistence_8cpp-example.html"> + * Persistent_cohomology/rips_distance_matrix_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2rips_multifield_persistence_8cpp-example.html"> + * Persistent_cohomology/rips_multifield_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2rips_persistence_8cpp-example.html"> + * Persistent_cohomology/rips_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2rips_persistence_step_by_step_8cpp-example.html"> + * Persistent_cohomology/rips_persistence_step_by_step.cpp</a> + * \li <a href="_persistent_cohomology_2exact_alpha_complex_3d_persistence_8cpp-example.html"> + * Persistent_cohomology/exact_alpha_complex_3d_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2weighted_alpha_complex_3d_persistence_8cpp-example.html"> + * Persistent_cohomology/weighted_alpha_complex_3d_persistence.cpp</a> + * \li <a href="_persistent_cohomology_2periodic_alpha_complex_3d_persistence_8cpp-example.html"> + * 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: + * \verbatim Contact: gudhi-users@lists.gforge.inria.fr \endverbatim + * + * GUDHI is open to external contributions. If you want to join our development team, please contact us. + * +*/ + +/*! \page Citation Acknowledging the GUDHI library + * We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use + * of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages. + * Feel free to contact us in case you have any question or remark on this topic. + * + * We provide \ref GudhiBibtex entries for the modules of the User and Reference Manual, as well as for publications + * directly related to the GUDHI library. + * \section GudhiBibtex GUDHI bibtex + * \verbinclude biblio/how_to_cite_gudhi.bib +*/ + +// List of GUDHI examples - Doxygen needs at least a file tag to analyse comments +/*! @file Examples + * @example Alpha_complex/Alpha_complex_from_off.cpp + * @example Alpha_complex/Alpha_complex_from_points.cpp + * @example Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp + * @example Bottleneck_distance/bottleneck_basic_example.cpp + * @example Bottleneck_distance/bottleneck_read_file_example.cpp + * @example Bitmap_cubical_complex/Bitmap_cubical_complex.cpp + * @example Bitmap_cubical_complex/Bitmap_cubical_complex_periodic_boundary_conditions.cpp + * @example Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp + * @example common/example_CGAL_3D_points_off_reader.cpp + * @example common/example_CGAL_points_off_reader.cpp + * @example Contraction/Garland_heckbert.cpp + * @example Contraction/Rips_contraction.cpp + * @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/exact_alpha_complex_3d_persistence.cpp + * @example Persistent_cohomology/weighted_alpha_complex_3d_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 + * @example Persistent_cohomology/plain_homology.cpp + * @example Persistent_cohomology/rips_multifield_persistence.cpp + * @example Persistent_cohomology/rips_distance_matrix_persistence.cpp + * @example Persistent_cohomology/rips_persistence.cpp + * @example Persistent_cohomology/custom_persistence_sort.cpp + * @example Persistent_cohomology/rips_persistence_step_by_step.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 + * @example Simplex_tree/simplex_tree_from_cliques_of_graph.cpp + * @example Simplex_tree/graph_expansion_with_blocker.cpp + * @example Skeleton_blocker/Skeleton_blocker_from_simplices.cpp + * @example Skeleton_blocker/Skeleton_blocker_iteration.cpp + * @example Skeleton_blocker/Skeleton_blocker_link.cpp + * @example Spatial_searching/example_spatial_searching.cpp + * @example Subsampling/example_choose_n_farthest_points.cpp + * @example Subsampling/example_custom_kernel.cpp + * @example Subsampling/example_pick_n_random_points.cpp + * @example Subsampling/example_sparsify_point_set.cpp + * @example Tangential_complex/example_basic.cpp + * @example Tangential_complex/example_with_perturb.cpp + * @example Witness_complex/example_nearest_landmark_table.cpp + * @example Witness_complex/example_strong_witness_complex_off.cpp + * @example Witness_complex/example_strong_witness_persistence.cpp + * @example Witness_complex/example_witness_complex_off.cpp + * @example Witness_complex/example_witness_complex_persistence.cpp + * @example Witness_complex/example_witness_complex_sphere.cpp + */ + |