diff options
| -rw-r--r-- | biblio/bibliography.bib | 16 | ||||
| -rw-r--r-- | src/Alpha_complex/doc/Intro_alpha_complex.h | 8 | ||||
| -rw-r--r-- | src/Alpha_complex/include/gudhi/Alpha_complex_3d.h | 2 | ||||
| -rw-r--r-- | src/Alpha_complex/utilities/alphacomplex.md | 4 | ||||
| -rw-r--r-- | src/Cech_complex/doc/Intro_cech_complex.h | 5 | ||||
| -rw-r--r-- | src/Doxyfile.in | 18 | ||||
| -rw-r--r-- | src/Nerve_GIC/doc/Intro_graph_induced_complex.h | 2 | ||||
| -rw-r--r-- | src/Persistent_cohomology/doc/Intro_persistent_cohomology.h | 21 | ||||
| -rw-r--r-- | src/Rips_complex/doc/Intro_rips_complex.h | 5 | ||||
| -rw-r--r-- | src/Simplex_tree/doc/Intro_simplex_tree.h | 12 | ||||
| -rw-r--r-- | src/Simplex_tree/include/gudhi/Simplex_tree.h | 4 | ||||
| -rw-r--r-- | src/Skeleton_blocker/concept/SkeletonBlockerDS.h | 2 | ||||
| -rw-r--r-- | src/Skeleton_blocker/include/gudhi/Skeleton_blocker/Skeleton_blocker_simple_traits.h | 2 | ||||
| -rw-r--r-- | src/cmake/modules/GUDHI_doxygen_target.cmake | 8 | ||||
| -rw-r--r-- | src/common/doc/installation.h | 249 | ||||
| -rw-r--r-- | src/python/doc/alpha_complex_user.rst | 4 | ||||
| -rw-r--r-- | src/python/doc/nerve_gic_complex_user.rst | 2 |
17 files changed, 146 insertions, 218 deletions
diff --git a/biblio/bibliography.bib b/biblio/bibliography.bib index ec8772aa..8462e731 100644 --- a/biblio/bibliography.bib +++ b/biblio/bibliography.bib @@ -14,7 +14,7 @@ publisher = {JMLR.org}, title = {{Statistical analysis and parameter selection for Mapper}}, volume = {19}, year = {2018}, -url = {http://jmlr.org/papers/v19/17-291.html}, +url = {https://jmlr.org/papers/v19/17-291.html}, } @inproceedings{Dey13, @@ -151,10 +151,10 @@ language={English}, %% hal-00922572, version 2 -%% http://hal.inria.fr/hal-00922572 +%% https://hal.inria.fr/hal-00922572 @techreport{boissonnat:hal-00922572, hal_id = {hal-00922572}, - url = {http://hal.inria.fr/hal-00922572}, + url = {https://hal.inria.fr/hal-00922572}, title = {Computing Persistent Homology with Various Coefficient Fields in a Single Pass}, author = {Boissonnat, Jean-Daniel and Maria, Cl{\'e}ment}, abstract = {{In this article, we introduce the multi-field persistence diagram for the persistence homology of a filtered complex. It encodes compactly the superimposition of the persistence diagrams of the complex with several field coefficients, and provides a substantially more precise description of the topology of the filtered complex. Specifically, the multi-field persistence diagram encodes the Betti numbers of integral homology and the prime divisors of the torsion coefficients of the underlying shape. Moreover, it enjoys similar stability properties as the ones of standard persistence diagrams, with the appropriate notion of distance. These properties make the multi-field persistence diagram a useful tool in computational topology.}}, @@ -167,7 +167,7 @@ language={English}, number = {RR-8436}, year = {2013}, month = Dec, - pdf = {http://hal.inria.fr/hal-00922572/PDF/RR-8436.pdf}, + pdf = {https://hal.inria.fr/hal-00922572v5/document}, } @@ -323,7 +323,7 @@ language={English}, %------------------------------------------------------------------ @article{rips2012, hal_id = {hal-00785072}, - url = {http://hal.archives-ouvertes.fr/hal-00785072}, + url = {https://hal.archives-ouvertes.fr/hal-00785072}, title = {{Vietoris-Rips Complexes also Provide Topologically Correct Reconstructions of Sampled Shapes}}, author = {Attali, Dominique and Lieutier, Andr{\'e} and Salinas, David}, keywords = {Shape reconstruction \sep Rips complexes \sep clique complexes \sep \v Cech complexes ; homotopy equivalence ; collapses ; high dimensions}, @@ -1115,7 +1115,7 @@ language={English} author = {Nicholas J. Cavanna and Mahmoodreza Jahanseir and Donald R. Sheehy}, booktitle = {Proceedings of the Canadian Conference on Computational Geometry}, title = {A Geometric Perspective on Sparse Filtrations}, - url = {http://research.cs.queensu.ca/cccg2015/CCCG15-papers/01.pdf}, + url = {https://research.cs.queensu.ca/cccg2015/CCCG15-papers/01.pdf}, year = {2015} } @@ -1151,7 +1151,7 @@ language={English} editor = {Lars Arge and J{\'a}nos Pach}, publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik}, address = {Dagstuhl, Germany}, - URL = {http://drops.dagstuhl.de/opus/volltexte/2015/5098}, + URL = {https://drops.dagstuhl.de/opus/volltexte/2015/5098}, URN = {urn:nbn:de:0030-drops-50981}, doi = {10.4230/LIPIcs.SOCG.2015.642}, annote = {Keywords: Simplicial complex, Compact data structures, Automaton, NP-hard} @@ -1164,7 +1164,7 @@ language={English} journal = {CoRR}, volume = {abs/1607.08449}, year = {2016}, - url = {http://arxiv.org/abs/1607.08449}, + url = {https://arxiv.org/abs/1607.08449}, archivePrefix = {arXiv}, eprint = {1607.08449}, timestamp = {Mon, 13 Aug 2018 16:46:26 +0200}, diff --git a/src/Alpha_complex/doc/Intro_alpha_complex.h b/src/Alpha_complex/doc/Intro_alpha_complex.h index 5ab23720..41e5e16d 100644 --- a/src/Alpha_complex/doc/Intro_alpha_complex.h +++ b/src/Alpha_complex/doc/Intro_alpha_complex.h @@ -107,6 +107,7 @@ Table of Contents * \subsection filtrationcomputation Filtration value computation algorithm * <br> * \f$ + * \begin{array}{l} * \textbf{for } \text{i : dimension } \rightarrow 0 \textbf{ do}\\ * \quad \textbf{for all } \sigma \text{ of dimension i}\\ * \quad\quad \textbf{if } \text{filtration(} \sigma ) \text{ is NaN} \textbf{ then}\\ @@ -127,6 +128,7 @@ Table of Contents * \textbf{end for}\\ * \text{make_filtration_non_decreasing()}\\ * \text{prune_above_filtration()}\\ + * \end{array} * \f$ * * \subsubsection dimension2 Dimension 2 @@ -164,11 +166,11 @@ Table of Contents * <b>Requires:</b> \ref eigen ≥ 3.1.0 and \ref cgal ≥ 5.1.0. * * A weighted version for Alpha complex is available (cf. Alpha_complex). It is like a usual Alpha complex, but based - * on a <a href="https://doc.cgal.org/latest/Triangulation/index.html#title20">CGAL regular triangulation</a> instead + * on a <a href="https://doc.cgal.org/latest/Triangulation/index.html#TriangulationSecRT">CGAL regular triangulation</a> instead * of Delaunay. * * This example builds the CGAL weighted alpha shapes from a small molecule, and initializes the alpha complex with - * it. This example is taken from <a href="https://doc.cgal.org/latest/Alpha_shapes_3/index.html#title13">CGAL 3d + * it. This example is taken from <a href="https://doc.cgal.org/latest/Alpha_shapes_3/index.html#AlphaShape_3DExampleforWeightedAlphaShapes">CGAL 3d * weighted alpha shapes</a>. * * Then, it is asked to display information about the alpha complex. @@ -212,7 +214,7 @@ Table of Contents * Gudhi::alpha_complex::complexity::EXACT. * * This example builds the CGAL 3d weighted alpha shapes from a small molecule, and initializes the alpha complex with - * it. This example is taken from <a href="https://doc.cgal.org/latest/Alpha_shapes_3/index.html#title13">CGAL 3d + * it. This example is taken from <a href="https://doc.cgal.org/latest/Alpha_shapes_3/index.html#AlphaShape_3DExampleforWeightedAlphaShapes">CGAL 3d * weighted alpha shapes</a>. * * Then, it is asked to display information about the alpha complex. diff --git a/src/Alpha_complex/include/gudhi/Alpha_complex_3d.h b/src/Alpha_complex/include/gudhi/Alpha_complex_3d.h index b3dbc9bb..562ef139 100644 --- a/src/Alpha_complex/include/gudhi/Alpha_complex_3d.h +++ b/src/Alpha_complex/include/gudhi/Alpha_complex_3d.h @@ -98,7 +98,7 @@ struct Value_from_iterator<complexity::EXACT> { * \tparam Periodic Boolean used to set/unset the periodic version of Alpha_complex_3d. Default value is false. * * For the weighted version, weights values are explained on CGAL - * <a href="https://doc.cgal.org/latest/Alpha_shapes_3/index.html#title0">Alpha shapes 3d</a> and + * <a href="https://doc.cgal.org/latest/Alpha_shapes_3/index.html#Alpha_shapes_3Definitions">Alpha shapes 3d</a> and * <a href="https://doc.cgal.org/latest/Triangulation_3/index.html#Triangulation3secclassRegulartriangulation">Regular * triangulation</a> documentation. * diff --git a/src/Alpha_complex/utilities/alphacomplex.md b/src/Alpha_complex/utilities/alphacomplex.md index 0d3c6027..1e3b8fab 100644 --- a/src/Alpha_complex/utilities/alphacomplex.md +++ b/src/Alpha_complex/utilities/alphacomplex.md @@ -64,7 +64,7 @@ N.B.: * Weights values are explained on CGAL
[dD Triangulations](https://doc.cgal.org/latest/Triangulation/index.html)
and
-[Regular triangulation](https://doc.cgal.org/latest/Triangulation/index.html#title20) documentation.
+[Regular triangulation](https://doc.cgal.org/latest/Triangulation/index.html#TriangulationSecRT) documentation.
## alpha_complex_3d_persistence ##
@@ -131,6 +131,6 @@ N.B.: * `alpha_complex_3d_persistence` only accepts OFF files in dimension 3.
* Filtration values are alpha square values.
* Weights values are explained on CGAL
-[Alpha shape](https://doc.cgal.org/latest/Alpha_shapes_3/index.html#title0)
+[Alpha shape](https://doc.cgal.org/latest/Alpha_shapes_3/index.html#Alpha_shapes_3Definitions)
and
[Regular triangulation](https://doc.cgal.org/latest/Triangulation_3/index.html#Triangulation3secclassRegulartriangulation) documentation.
diff --git a/src/Cech_complex/doc/Intro_cech_complex.h b/src/Cech_complex/doc/Intro_cech_complex.h index 698f9749..095fd320 100644 --- a/src/Cech_complex/doc/Intro_cech_complex.h +++ b/src/Cech_complex/doc/Intro_cech_complex.h @@ -70,9 +70,8 @@ namespace cech_complex { * This radius computation is the reason why the Cech_complex is taking much more time to be computed than the * \ref rips_complex but it offers more topological guarantees. * - * If the Cech_complex interfaces are not detailed enough for your need, please refer to - * <a href="cech_complex_step_by_step_8cpp-example.html"> - * cech_complex_step_by_step.cpp</a> example, where the graph construction over the Simplex_tree is more detailed. + * If the Cech_complex interfaces are not detailed enough for your need, please refer to the example + * \gudhi_example_link{Cech_complex,cech_complex_step_by_step.cpp}, where the graph construction over the Simplex_tree is more detailed. * * \subsection cechpointscloudexample Example from a point cloud * diff --git a/src/Doxyfile.in b/src/Doxyfile.in index f76ba2bd..54ec9078 100644 --- a/src/Doxyfile.in +++ b/src/Doxyfile.in @@ -229,7 +229,7 @@ TAB_SIZE = 2 # "Side Effects:". You can put \n's in the value part of an alias to insert # newlines. -ALIASES = +ALIASES = gudhi_example_link{2}="@ref \2 \"\1/\2\"" # Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources # only. Doxygen will then generate output that is more tailored for C. For @@ -1473,6 +1473,17 @@ FORMULA_TRANSPARENT = YES USE_MATHJAX = YES +# With MATHJAX_VERSION it is possible to specify the MathJax version to be used. +# Note that the different versions of MathJax have different requirements with +# regards to the different settings, so it is possible that also other MathJax +# settings have to be changed when switching between the different MathJax +# versions. +# Possible values are: MathJax_2 and MathJax_3. +# The default value is: MathJax_2. +# This tag requires that the tag USE_MATHJAX is set to YES. + +@GUDHI_DOXYGEN_MATHJAX_VERSION@ + # When MathJax is enabled you can set the default output format to be used for # the MathJax output. See the MathJax site (see: # http://docs.mathjax.org/en/latest/output.html) for more details. @@ -1494,15 +1505,14 @@ MATHJAX_FORMAT = HTML-CSS # The default value is: http://cdn.mathjax.org/mathjax/latest. # This tag requires that the tag USE_MATHJAX is set to YES. -MATHJAX_RELPATH = https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.2 +MATHJAX_RELPATH = # The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax # extension names that should be enabled during MathJax rendering. For example # MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols # This tag requires that the tag USE_MATHJAX is set to YES. -MATHJAX_EXTENSIONS = TeX/AMSmath \ - TeX/AMSsymbols +MATHJAX_EXTENSIONS = @GUDHI_DOXYGEN_MATHJAX_EXTENSIONS@ # The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces # of code that will be used on startup of the MathJax code. See the MathJax site diff --git a/src/Nerve_GIC/doc/Intro_graph_induced_complex.h b/src/Nerve_GIC/doc/Intro_graph_induced_complex.h index a6098860..e1ab7cb3 100644 --- a/src/Nerve_GIC/doc/Intro_graph_induced_complex.h +++ b/src/Nerve_GIC/doc/Intro_graph_induced_complex.h @@ -24,7 +24,7 @@ namespace cover_complex { * Visualizations of the simplicial complexes can be done with either * neato (from <a target="_blank" href="http://www.graphviz.org/">graphviz</a>), * <a target="_blank" href="http://www.geomview.org/">geomview</a>, - * <a target="_blank" href="https://github.com/MLWave/kepler-mapper">KeplerMapper</a>. + * <a target="_blank" href="https://github.com/scikit-tda/kepler-mapper">KeplerMapper</a>. * Input point clouds are assumed to be \ref FileFormatsOFF "OFF files" * * \section covers Covers diff --git a/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h b/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h index a3613d0d..94579564 100644 --- a/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h +++ b/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h @@ -131,8 +131,7 @@ namespace persistent_cohomology { We provide several example files: run these examples with -h for details on their use, and read the README file. -\li <a href="rips_persistence_8cpp-example.html"> -Rips_complex/rips_persistence.cpp</a> computes the Rips complex of a point cloud and outputs its persistence +\li \gudhi_example_link{Rips_complex,rips_persistence.cpp} computes the Rips complex of a point cloud and outputs its persistence diagram. \code $> ./rips_persistence ../../data/points/tore3D_1307.off -r 0.25 -m 0.5 -d 3 -p 3 \endcode \code The complex contains 177838 simplices @@ -144,12 +143,10 @@ diagram. More details on the <a href="../../ripscomplex/">Rips complex utilities</a> dedicated page. -\li <a href="rips_multifield_persistence_8cpp-example.html"> -Persistent_cohomology/rips_multifield_persistence.cpp</a> computes the Rips complex of a point cloud and outputs its +\li \gudhi_example_link{Persistent_cohomology,rips_multifield_persistence.cpp} computes the Rips complex of a point cloud and outputs its persistence diagram with a family of field coefficients. -\li <a href="rips_distance_matrix_persistence_8cpp-example.html"> -Rips_complex/rips_distance_matrix_persistence.cpp</a> computes the Rips complex of a distance matrix and +\li \gudhi_example_link{Rips_complex,rips_distance_matrix_persistence.cpp} computes the Rips complex of a distance matrix and outputs its persistence diagram. The file should contain square or lower triangular distance matrix with semicolons as separators. @@ -158,8 +155,7 @@ Please refer to data/distance_matrix/lower_triangular_distance_matrix.csv for an More details on the <a href="../../ripscomplex/">Rips complex utilities</a> dedicated page. -\li <a href="rips_correlation_matrix_persistence_8cpp-example.html"> -Rips_complex/rips_correlation_matrix_persistence.cpp</a> +\li \gudhi_example_link{Rips_complex,rips_correlation_matrix_persistence.cpp} computes the Rips complex of a correlation matrix and outputs its persistence diagram. Note that no check is performed if the matrix given as the input is a correlation matrix. @@ -169,8 +165,7 @@ Please refer to data/correlation_matrix/lower_triangular_correlation_matrix.csv More details on the <a href="../../ripscomplex/">Rips complex utilities</a> dedicated page. -\li <a href="alpha_complex_3d_persistence_8cpp-example.html"> -Alpha_complex/alpha_complex_3d_persistence.cpp</a> computes the persistent homology with +\li \gudhi_example_link{Alpha_complex,alpha_complex_3d_persistence.cpp} computes the persistent homology with \f$\mathbb{Z}/2\mathbb{Z}\f$ coefficients of the alpha complex on points sampling from an OFF file. \code $> ./alpha_complex_3d_persistence ../../data/points/tore3D_300.off -p 2 -m 0.45 \endcode \code Simplex_tree dim: 3 @@ -235,8 +230,7 @@ Note that the lengths of the sides of the periodic cuboid have to be the same.<b 3 2 36.8838 inf 3 3 58.6783 inf \endcode -\li <a href="alpha_complex_persistence_8cpp-example.html"> -Alpha_complex/alpha_complex_persistence.cpp</a> computes the persistent homology with +\li \gudhi_example_link{Alpha_complex,alpha_complex_persistence.cpp} computes the persistent homology with \f$\mathbb{Z}/p\mathbb{Z}\f$ coefficients of the alpha complex on points sampling from an OFF file. \code $> ./alpha_complex_persistence -r 32 -p 2 -m 0.45 ../../data/points/tore3D_300.off \endcode \code Alpha complex is of dimension 3 - 9273 simplices - 300 vertices. @@ -248,8 +242,7 @@ Simplex_tree dim: 3 More details on the <a href="../../alphacomplex/">Alpha complex utilities</a> dedicated page. -\li <a href="plain_homology_8cpp-example.html"> -Persistent_cohomology/plain_homology.cpp</a> computes the plain homology of a simple simplicial complex without +\li \gudhi_example_link{Persistent_cohomology,plain_homology.cpp} computes the plain homology of a simple simplicial complex without filtration values. */ diff --git a/src/Rips_complex/doc/Intro_rips_complex.h b/src/Rips_complex/doc/Intro_rips_complex.h index 3888ec8f..cd77b327 100644 --- a/src/Rips_complex/doc/Intro_rips_complex.h +++ b/src/Rips_complex/doc/Intro_rips_complex.h @@ -63,9 +63,8 @@ namespace rips_complex { * value set with \f$max(filtration(4,5), filtration(4,6), filtration(5,6))\f$. * And so on for simplex (0,1,2,3). * - * If the Rips_complex interfaces are not detailed enough for your need, please refer to - * <a href="rips_persistence_step_by_step_8cpp-example.html"> - * rips_persistence_step_by_step.cpp</a> example, where the constructions of the graph and + * If the Rips_complex interfaces are not detailed enough for your need, please refer to the example + * \gudhi_example_link{Persistent_cohomology,rips_persistence_step_by_step.cpp} , where the constructions of the graph and * the Simplex_tree are more detailed. * * \section sparserips Sparse Rips complex diff --git a/src/Simplex_tree/doc/Intro_simplex_tree.h b/src/Simplex_tree/doc/Intro_simplex_tree.h index ef8dec91..2d3ecdec 100644 --- a/src/Simplex_tree/doc/Intro_simplex_tree.h +++ b/src/Simplex_tree/doc/Intro_simplex_tree.h @@ -39,11 +39,9 @@ namespace Gudhi { * \subsubsection filteredcomplexessimplextreeexamples Examples * * Here is a list of simplex tree examples : - * \li <a href="simple_simplex_tree_8cpp-example.html"> - * Simplex_tree/simple_simplex_tree.cpp</a> - Simple simplex tree construction and basic function use. + * \li \gudhi_example_link{Simplex_tree,simple_simplex_tree.cpp} - Simple simplex tree construction and basic function use. * - * \li <a href="simplex_tree_from_cliques_of_graph_8cpp-example.html"> - * Simplex_tree/simplex_tree_from_cliques_of_graph.cpp</a> - Simplex tree construction from cliques of graph read in + * \li \gudhi_example_link{Simplex_tree,simplex_tree_from_cliques_of_graph.cpp} - Simplex tree construction from cliques of graph read in * a file. * * Simplex tree construction with \f$\mathbb{Z}/3\mathbb{Z}\f$ coefficients on weighted graph Klein bottle file: @@ -54,12 +52,10 @@ 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="example_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 + * \li \gudhi_example_link{Simplex_tree,example_alpha_shapes_3_simplex_tree_from_off_file.cpp} - Simplex tree is computed and displayed * from a 3D alpha complex (Requires CGAL, GMP and GMPXX to be installed). * - * \li <a href="graph_expansion_with_blocker_8cpp-example.html"> - * Simplex_tree/graph_expansion_with_blocker.cpp</a> - Simple simplex tree construction from a one-skeleton graph with + * \li \gudhi_example_link{Simplex_tree,graph_expansion_with_blocker.cpp} - Simple simplex tree construction from a one-skeleton graph with * a simple blocker expansion method. * * \subsection filteredcomplexeshassecomplex Hasse complex diff --git a/src/Simplex_tree/include/gudhi/Simplex_tree.h b/src/Simplex_tree/include/gudhi/Simplex_tree.h index 629a1f9c..4d94c037 100644 --- a/src/Simplex_tree/include/gudhi/Simplex_tree.h +++ b/src/Simplex_tree/include/gudhi/Simplex_tree.h @@ -1083,8 +1083,8 @@ class Simplex_tree { * * Inserts all vertices and edges given by a OneSkeletonGraph. * OneSkeletonGraph must be a model of - * <a href="http://www.boost.org/doc/libs/1_76_0/libs/graph/doc/VertexAndEdgeListGraph.html">boost::VertexAndEdgeListGraph</a> - * and <a href="http://www.boost.org/doc/libs/1_76_0/libs/graph/doc/PropertyGraph.html">boost::PropertyGraph</a>. + * <a href="https://www.boost.org/doc/libs/release/libs/graph/doc/VertexAndEdgeListGraph.html">boost::VertexAndEdgeListGraph</a> + * and <a href="https://www.boost.org/doc/libs/release/libs/graph/doc/PropertyGraph.html">boost::PropertyGraph</a>. * * The vertex filtration value is accessible through the property tag * vertex_filtration_t. diff --git a/src/Skeleton_blocker/concept/SkeletonBlockerDS.h b/src/Skeleton_blocker/concept/SkeletonBlockerDS.h index 0c2014bd..23eb3670 100644 --- a/src/Skeleton_blocker/concept/SkeletonBlockerDS.h +++ b/src/Skeleton_blocker/concept/SkeletonBlockerDS.h @@ -29,7 +29,7 @@ struct SkeletonBlockerDS { /** * @brief Root_vertex_handle and Vertex_handle are similar to global and local vertex descriptor - * used in <a href="http://www.boost.org/doc/libs/1_38_0/libs/graph/doc/subgraph.html">boost subgraphs</a> + * used in <a href="https://www.boost.org/doc/libs/release/libs/graph/doc/subgraph.html">boost subgraphs</a> * and allow to localize a vertex of a subcomplex on its parent root complex. * * In gross, vertices are stored in a vector diff --git a/src/Skeleton_blocker/include/gudhi/Skeleton_blocker/Skeleton_blocker_simple_traits.h b/src/Skeleton_blocker/include/gudhi/Skeleton_blocker/Skeleton_blocker_simple_traits.h index 0c0cc624..d091d7dd 100644 --- a/src/Skeleton_blocker/include/gudhi/Skeleton_blocker/Skeleton_blocker_simple_traits.h +++ b/src/Skeleton_blocker/include/gudhi/Skeleton_blocker/Skeleton_blocker_simple_traits.h @@ -28,7 +28,7 @@ namespace skeleton_blocker { */ struct Skeleton_blocker_simple_traits { /** - * @brief Global and local handle similar to <a href="http://www.boost.org/doc/libs/1_38_0/libs/graph/doc/subgraph.html">boost subgraphs</a>. + * @brief Global and local handle similar to <a href="https://www.boost.org/doc/libs/release/libs/graph/doc/subgraph.html">boost subgraphs</a>. * Vertices are stored in a vector. * For the root simplicial complex, the local and global descriptors are the same. * For a subcomplex L and one of its vertices 'v', the local descriptor of 'v' is its position in diff --git a/src/cmake/modules/GUDHI_doxygen_target.cmake b/src/cmake/modules/GUDHI_doxygen_target.cmake index 0f80b187..6b9514de 100644 --- a/src/cmake/modules/GUDHI_doxygen_target.cmake +++ b/src/cmake/modules/GUDHI_doxygen_target.cmake @@ -44,6 +44,14 @@ if(DOXYGEN_FOUND) set(GUDHI_DOXYGEN_UTILS_PATH "utilities/*") endif() + message("++ Doxygen version ${DOXYGEN_VERSION}") + if (DOXYGEN_VERSION VERSION_LESS 1.9.2) + set(GUDHI_DOXYGEN_MATHJAX_VERSION "MATHJAX_VERSION = MathJax_2") + set(GUDHI_DOXYGEN_MATHJAX_EXTENSIONS "TeX/AMSmath TeX/AMSsymbols") + else() + set(GUDHI_DOXYGEN_MATHJAX_VERSION "MATHJAX_VERSION = MathJax_3") + set(GUDHI_DOXYGEN_MATHJAX_EXTENSIONS "ams") + endif() configure_file(${GUDHI_DOXYGEN_SOURCE_PREFIX}/Doxyfile.in "${CMAKE_CURRENT_BINARY_DIR}/Doxyfile" @ONLY) add_custom_target(doxygen ${DOXYGEN_EXECUTABLE} ${CMAKE_CURRENT_BINARY_DIR}/Doxyfile diff --git a/src/common/doc/installation.h b/src/common/doc/installation.h index 67d026bd..24a7fc7a 100644 --- a/src/common/doc/installation.h +++ b/src/common/doc/installation.h @@ -5,8 +5,8 @@ * Examples of GUDHI headers inclusion can be found in \ref utilities. * * \section compiling Compiling - * The library uses c++14 and requires <a target="_blank" href="http://www.boost.org/">Boost</a> ≥ 1.66.0 - * and <a target="_blank" href="https://www.cmake.org/">CMake</a> ≥ 3.5. + * The library uses c++14 and requires <a target="_blank" href="https://www.boost.org/">Boost</a> ≥ 1.66.0 + * and <a target="_blank" href="https://cmake.org/">CMake</a> ≥ 3.5. * It is a multi-platform library and compiles on Linux, Mac OSX and Visual Studio 2015. * * \subsection utilities Utilities and examples @@ -56,10 +56,9 @@ make \endverbatim * 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 + * The following example requires the <a target="_blank" href="https://gmplib.org/">GNU Multiple Precision Arithmetic * Library</a> (GMP) and will not be built if GMP is not installed: - * \li <a href="rips_multifield_persistence_8cpp-example.html"> - * Persistent_cohomology/rips_multifield_persistence.cpp</a> + * \li \gudhi_example_link{Persistent_cohomology,rips_multifield_persistence.cpp} * * Having GMP version 4.2 or higher installed is recommended. * @@ -76,179 +75,101 @@ make \endverbatim * * The following examples/utilities require the <a target="_blank" href="http://www.cgal.org/">Computational Geometry Algorithms * Library</a> (CGAL \cite cgal:eb-19b) and will not be built if CGAL version 4.11.0 or higher is not installed: - * \li <a href="example_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="strong_witness_persistence_8cpp-example.html"> - * Witness_complex/strong_witness_persistence.cpp</a> - * \li <a href="weak_witness_persistence_8cpp-example.html"> - * Witness_complex/weak_witness_persistence.cpp</a> - * \li <a href="example_strong_witness_complex_off_8cpp-example.html"> - * Witness_complex/example_strong_witness_complex_off.cpp</a> - * \li <a href="example_witness_complex_off_8cpp-example.html"> - * Witness_complex/example_witness_complex_off.cpp</a> - * \li <a href="example_witness_complex_sphere_8cpp-example.html"> - * Witness_complex/example_witness_complex_sphere.cpp</a> - * \li <a href="_alpha_complex_from_off_8cpp-example.html"> - * Alpha_complex/Alpha_complex_from_off.cpp</a> - * \li <a href="_alpha_complex_from_points_8cpp-example.html"> - * Alpha_complex/Alpha_complex_from_points.cpp</a> - * \li <a href="alpha_complex_persistence_8cpp-example.html"> - * Alpha_complex/alpha_complex_persistence.cpp</a> - * \li <a href="custom_persistence_sort_8cpp-example.html"> - * Persistent_cohomology/custom_persistence_sort.cpp</a> - * \li <a href="alpha_rips_persistence_bottleneck_distance_8cpp-example.html"> - * Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp.cpp</a> - * \li <a href="bottleneck_basic_example_8cpp-example.html"> - * Bottleneck_distance/bottleneck_basic_example.cpp</a> - * \li <a href="bottleneck_distance_8cpp-example.html"> - * Bottleneck_distance/bottleneck_distance.cpp</a> - * \li <a href="_coord_g_i_c_8cpp-example.html"> - * Nerve_GIC/CoordGIC.cpp</a> - * \li <a href="_func_g_i_c_8cpp-example.html"> - * Nerve_GIC/FuncGIC.cpp</a> - * \li <a href="_nerve_8cpp-example.html"> - * Nerve_GIC/Nerve.cpp</a> - * \li <a href="_voronoi_g_i_c_8cpp-example.html"> - * Nerve_GIC/VoronoiGIC.cpp</a> - * \li <a href="example_spatial_searching_8cpp-example.html"> - * Spatial_searching/example_spatial_searching.cpp</a> - * \li <a href="example_choose_n_farthest_points_8cpp-example.html"> - * Subsampling/example_choose_n_farthest_points.cpp</a> - * \li <a href="example_pick_n_random_points_8cpp-example.html"> - * Subsampling/example_pick_n_random_points.cpp</a> - * \li <a href="example_sparsify_point_set_8cpp-example.html"> - * Subsampling/example_sparsify_point_set.cpp</a> - * \li <a href="example_basic_8cpp-example.html"> - * Tangential_complex/example_basic.cpp</a> - * \li <a href="example_with_perturb_8cpp-example.html"> - * Tangential_complex/example_with_perturb.cpp</a> - * \li <a href="_weighted_alpha_complex_3d_from_points_8cpp-example.html"> - * Alpha_complex/Weighted_alpha_complex_3d_from_points.cpp</a> - * \li <a href="alpha_complex_3d_persistence_8cpp-example.html"> - * Alpha_complex/alpha_complex_3d_persistence.cpp</a> - * \li <a href="_coxeter_triangulation_2manifold_tracing_flat_torus_with_boundary_8cpp-example.html"> - * Coxeter_triangulation/manifold_tracing_flat_torus_with_boundary.cpp</a> + * \li \gudhi_example_link{Simplex_tree,example_alpha_shapes_3_simplex_tree_from_off_file.cpp} + * \li \gudhi_example_link{Witness_complex,strong_witness_persistence.cpp} + * \li \gudhi_example_link{Witness_complex,weak_witness_persistence.cpp} + * \li \gudhi_example_link{Witness_complex,example_strong_witness_complex_off.cpp} + * \li \gudhi_example_link{Witness_complex,example_witness_complex_off.cpp} + * \li \gudhi_example_link{Witness_complex,example_witness_complex_sphere.cpp} + * \li \gudhi_example_link{Alpha_complex,Alpha_complex_from_off.cpp} + * \li \gudhi_example_link{Alpha_complex,Alpha_complex_from_points.cpp} + * \li \gudhi_example_link{Alpha_complex,alpha_complex_persistence.cpp} + * \li \gudhi_example_link{Persistent_cohomology,custom_persistence_sort.cpp} + * \li \gudhi_example_link{Bottleneck_distance,alpha_rips_persistence_bottleneck_distance.cpp} + * \li \gudhi_example_link{Bottleneck_distance,bottleneck_basic_example.cpp} + * \li \gudhi_example_link{Bottleneck_distance,bottleneck_distance.cpp} + * \li \gudhi_example_link{Nerve_GIC,CoordGIC.cpp} + * \li \gudhi_example_link{Nerve_GIC,FuncGIC.cpp} + * \li \gudhi_example_link{Nerve_GIC,Nerve.cpp} + * \li \gudhi_example_link{Nerve_GIC,VoronoiGIC.cpp} + * \li \gudhi_example_link{Spatial_searching,example_spatial_searching.cpp} + * \li \gudhi_example_link{Subsampling,example_choose_n_farthest_points.cpp} + * \li \gudhi_example_link{Subsampling,example_pick_n_random_points.cpp} + * \li \gudhi_example_link{Subsampling,example_sparsify_point_set.cpp} + * \li \gudhi_example_link{Tangential_complex,example_basic.cpp} + * \li \gudhi_example_link{Tangential_complex,example_with_perturb.cpp} + * \li \gudhi_example_link{Alpha_complex,Weighted_alpha_complex_3d_from_points.cpp} + * \li \gudhi_example_link{Alpha_complex,alpha_complex_3d_persistence.cpp} + * \li \gudhi_example_link{Coxeter_triangulation,manifold_tracing_flat_torus_with_boundary.cpp} * * \subsection eigen Eigen * Some GUDHI modules (cf. \ref main_page "modules list"), and few examples require - * <a target="_blank" href="http://eigen.tuxfamily.org/">Eigen</a> is a C++ template library for linear algebra: + * <a target="_blank" href="https://eigen.tuxfamily.org">Eigen</a> is a C++ template library for linear algebra: * matrices, vectors, numerical solvers, and related algorithms. * - * The following examples/utilities require the <a target="_blank" href="http://eigen.tuxfamily.org/">Eigen</a> and will not be + * The following examples/utilities require the <a target="_blank" href="https://eigen.tuxfamily.org">Eigen</a> and will not be * built if Eigen is not installed: - * \li <a href="_alpha_complex_from_off_8cpp-example.html"> - * Alpha_complex/Alpha_complex_from_off.cpp</a> - * \li <a href="_alpha_complex_from_points_8cpp-example.html"> - * Alpha_complex/Alpha_complex_from_points.cpp</a> - * \li <a href="alpha_complex_persistence_8cpp-example.html"> - * Alpha_complex/alpha_complex_persistence.cpp</a> - * \li <a href="alpha_complex_3d_persistence_8cpp-example.html"> - * Alpha_complex/alpha_complex_3d_persistence.cpp</a> - * \li <a href="_weighted_alpha_complex_3d_from_points_8cpp-example.html"> - * Alpha_complex/Weighted_alpha_complex_3d_from_points.cpp</a> - * \li <a href="alpha_rips_persistence_bottleneck_distance_8cpp-example.html"> - * Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp.cpp</a> - * \li <a href="custom_persistence_sort_8cpp-example.html"> - * Persistent_cohomology/custom_persistence_sort.cpp</a> - * \li <a href="example_spatial_searching_8cpp-example.html"> - * Spatial_searching/example_spatial_searching.cpp</a> - * \li <a href="example_choose_n_farthest_points_8cpp-example.html"> - * Subsampling/example_choose_n_farthest_points.cpp</a> - * \li <a href="example_pick_n_random_points_8cpp-example.html"> - * Subsampling/example_pick_n_random_points.cpp</a> - * \li <a href="example_sparsify_point_set_8cpp-example.html"> - * Subsampling/example_sparsify_point_set.cpp</a> - * \li <a href="example_basic_8cpp-example.html"> - * Tangential_complex/example_basic.cpp</a> - * \li <a href="example_with_perturb_8cpp-example.html"> - * Tangential_complex/example_with_perturb.cpp</a> - * \li <a href="strong_witness_persistence_8cpp-example.html"> - * Witness_complex/strong_witness_persistence.cpp</a> - * \li <a href="weak_witness_persistence_8cpp-example.html"> - * Witness_complex/weak_witness_persistence.cpp</a> - * \li <a href="example_strong_witness_complex_off_8cpp-example.html"> - * Witness_complex/example_strong_witness_complex_off.cpp</a> - * \li <a href="example_witness_complex_off_8cpp-example.html"> - * Witness_complex/example_witness_complex_off.cpp</a> - * \li <a href="example_witness_complex_sphere_8cpp-example.html"> - * Witness_complex/example_witness_complex_sphere.cpp</a> - * \li <a href="_coxeter_triangulation_2cell_complex_from_basic_circle_manifold_8cpp-example.html"> - * Coxeter_triangulation/cell_complex_from_basic_circle_manifold.cpp</a> - * \li <a href="_coxeter_triangulation_2manifold_tracing_custom_function_8cpp-example.html"> - * Coxeter_triangulation/manifold_tracing_custom_function.cpp</a> - * \li <a href="_coxeter_triangulation_2manifold_tracing_flat_torus_with_boundary_8cpp-example.html"> - * Coxeter_triangulation/manifold_tracing_flat_torus_with_boundary.cpp</a> + * \li \gudhi_example_link{Alpha_complex,Alpha_complex_from_off.cpp} + * \li \gudhi_example_link{Alpha_complex,Alpha_complex_from_points.cpp} + * \li \gudhi_example_link{Alpha_complex,alpha_complex_persistence.cpp} + * \li \gudhi_example_link{Alpha_complex,alpha_complex_3d_persistence.cpp} + * \li \gudhi_example_link{Alpha_complex,Weighted_alpha_complex_3d_from_points.cpp} + * \li \gudhi_example_link{Bottleneck_distance,alpha_rips_persistence_bottleneck_distance.cpp} + * \li \gudhi_example_link{Persistent_cohomology,custom_persistence_sort.cpp} + * \li \gudhi_example_link{Spatial_searching,example_spatial_searching.cpp} + * \li \gudhi_example_link{Subsampling,example_choose_n_farthest_points.cpp} + * \li \gudhi_example_link{Subsampling,example_pick_n_random_points.cpp} + * \li \gudhi_example_link{Subsampling,example_sparsify_point_set.cpp} + * \li \gudhi_example_link{Tangential_complex,example_basic.cpp} + * \li \gudhi_example_link{Tangential_complex,example_with_perturb.cpp} + * \li \gudhi_example_link{Witness_complex,strong_witness_persistence.cpp} + * \li \gudhi_example_link{Witness_complex,weak_witness_persistence.cpp} + * \li \gudhi_example_link{Witness_complex,example_strong_witness_complex_off.cpp} + * \li \gudhi_example_link{Witness_complex,example_witness_complex_off.cpp} + * \li \gudhi_example_link{Witness_complex,example_witness_complex_sphere.cpp} + * \li \gudhi_example_link{Coxeter_triangulation,cell_complex_from_basic_circle_manifold.cpp} + * \li \gudhi_example_link{Coxeter_triangulation,manifold_tracing_custom_function.cpp} + * \li \gudhi_example_link{Coxeter_triangulation,manifold_tracing_flat_torus_with_boundary.cpp} * * \subsection tbb Threading Building Blocks - * <a target="_blank" href="https://www.threadingbuildingblocks.org/">Intel® TBB</a> lets you easily write parallel + * <a target="_blank" href="https://github.com/oneapi-src/oneTBB">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/utilities are using Intel® TBB if installed: - * \li <a href="_alpha_complex_from_off_8cpp-example.html"> - * Alpha_complex/Alpha_complex_from_off.cpp</a> - * \li <a href="_alpha_complex_from_points_8cpp-example.html"> - * Alpha_complex/Alpha_complex_from_points.cpp</a> - * \li <a href="alpha_complex_3d_persistence_8cpp-example.html"> - * Alpha_complex/alpha_complex_3d_persistence.cpp</a> - * \li <a href="alpha_complex_persistence_8cpp-example.html"> - * Alpha_complex/alpha_complex_persistence.cpp</a> - * \li <a href="cubical_complex_persistence_8cpp-example.html"> - * Bitmap_cubical_complex/cubical_complex_persistence.cpp</a> - * \li <a href="periodic_cubical_complex_persistence_8cpp-example.html"> - * Bitmap_cubical_complex/periodic_cubical_complex_persistence.cpp</a> - * \li <a href="_random_bitmap_cubical_complex_8cpp-example.html"> - * Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp</a> - * \li <a href="_coord_g_i_c_8cpp-example.html"> - * Nerve_GIC/CoordGIC.cpp</a> - * \li <a href="_func_g_i_c_8cpp-example.html"> - * Nerve_GIC/FuncGIC.cpp</a> - * \li <a href="_nerve_8cpp-example.html"> - * Nerve_GIC/Nerve.cpp</a> - * \li <a href="_voronoi_g_i_c_8cpp-example.html"> - * Nerve_GIC/VoronoiGIC.cpp</a> - * \li <a href="simple_simplex_tree_8cpp-example.html"> - * Simplex_tree/simple_simplex_tree.cpp</a> - * \li <a href="example_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_from_cliques_of_graph_8cpp-example.html"> - * Simplex_tree/simplex_tree_from_cliques_of_graph.cpp</a> - * \li <a href="graph_expansion_with_blocker_8cpp-example.html"> - * Simplex_tree/graph_expansion_with_blocker.cpp</a> - * \li <a href="alpha_complex_3d_persistence_8cpp-example.html"> - * Persistent_cohomology/alpha_complex_3d_persistence.cpp</a> - * \li <a href="alpha_complex_persistence_8cpp-example.html"> - * Persistent_cohomology/alpha_complex_persistence.cpp</a> - * \li <a href="rips_persistence_via_boundary_matrix_8cpp-example.html"> - * Persistent_cohomology/rips_persistence_via_boundary_matrix.cpp</a> - * \li <a href="persistence_from_file_8cpp-example.html"> - * Persistent_cohomology/persistence_from_file.cpp</a> - * \li <a href="persistence_from_simple_simplex_tree_8cpp-example.html"> - * Persistent_cohomology/persistence_from_simple_simplex_tree.cpp</a> - * \li <a href="plain_homology_8cpp-example.html"> - * Persistent_cohomology/plain_homology.cpp</a> - * \li <a href="rips_multifield_persistence_8cpp-example.html"> - * Persistent_cohomology/rips_multifield_persistence.cpp</a> - * \li <a href="rips_persistence_step_by_step_8cpp-example.html"> - * Persistent_cohomology/rips_persistence_step_by_step.cpp</a> - * \li <a href="custom_persistence_sort_8cpp-example.html"> - * Persistent_cohomology/custom_persistence_sort.cpp</a> - * \li <a href="example_one_skeleton_rips_from_points_8cpp-example.html"> - * Rips_complex/example_one_skeleton_rips_from_points.cpp</a> - * \li <a href="example_rips_complex_from_off_file_8cpp-example.html"> - * Rips_complex/example_rips_complex_from_off_file.cpp</a> - * \li <a href="rips_distance_matrix_persistence_8cpp-example.html"> - * Rips_complex/rips_distance_matrix_persistence.cpp</a> - * \li <a href="rips_persistence_8cpp-example.html"> - * Rips_complex/rips_persistence.cpp</a> - * \li <a href="strong_witness_persistence_8cpp-example.html"> - * Witness_complex/strong_witness_persistence.cpp</a> - * \li <a href="weak_witness_persistence_8cpp-example.html"> - * Witness_complex/weak_witness_persistence.cpp</a> - * \li <a href="example_nearest_landmark_table_8cpp-example.html"> - * Witness_complex/example_nearest_landmark_table.cpp</a> + * \li \gudhi_example_link{Alpha_complex,Alpha_complex_from_off.cpp} + * \li \gudhi_example_link{Alpha_complex,Alpha_complex_from_points.cpp} + * \li \gudhi_example_link{Alpha_complex,alpha_complex_3d_persistence.cpp} + * \li \gudhi_example_link{Alpha_complex,alpha_complex_persistence.cpp} + * \li \gudhi_example_link{Bitmap_cubical_complex,cubical_complex_persistence.cpp} + * \li \gudhi_example_link{Bitmap_cubical_complex,periodic_cubical_complex_persistence.cpp} + * \li \gudhi_example_link{Bitmap_cubical_complex,Random_bitmap_cubical_complex.cpp} + * \li \gudhi_example_link{Nerve_GIC,CoordGIC.cpp} + * \li \gudhi_example_link{Nerve_GIC,FuncGIC.cpp} + * \li \gudhi_example_link{Nerve_GIC,Nerve.cpp} + * \li \gudhi_example_link{Nerve_GIC,VoronoiGIC.cpp} + * \li \gudhi_example_link{Simplex_tree,simple_simplex_tree.cpp} + * \li \gudhi_example_link{Simplex_tree,example_alpha_shapes_3_simplex_tree_from_off_file.cpp} + * \li \gudhi_example_link{Simplex_tree,simplex_tree_from_cliques_of_graph.cpp} + * \li \gudhi_example_link{Simplex_tree,graph_expansion_with_blocker.cpp} + * \li \gudhi_example_link{Persistent_cohomology,alpha_complex_3d_persistence.cpp} + * \li \gudhi_example_link{Persistent_cohomology,alpha_complex_persistence.cpp} + * \li \gudhi_example_link{Persistent_cohomology,rips_persistence_via_boundary_matrix.cpp} + * \li \gudhi_example_link{Persistent_cohomology,persistence_from_file.cpp} + * \li \gudhi_example_link{Persistent_cohomology,persistence_from_simple_simplex_tree.cpp} + * \li \gudhi_example_link{Persistent_cohomology,plain_homology.cpp} + * \li \gudhi_example_link{Persistent_cohomology,rips_multifield_persistence.cpp} + * \li \gudhi_example_link{Persistent_cohomology,rips_persistence_step_by_step.cpp} + * \li \gudhi_example_link{Persistent_cohomology,custom_persistence_sort.cpp} + * \li \gudhi_example_link{Rips_complex,example_one_skeleton_rips_from_points.cpp} + * \li \gudhi_example_link{Rips_complex,example_rips_complex_from_off_file.cpp} + * \li \gudhi_example_link{Rips_complex,rips_distance_matrix_persistence.cpp} + * \li \gudhi_example_link{Rips_complex,rips_persistence.cpp} + * \li \gudhi_example_link{Witness_complex,strong_witness_persistence.cpp} + * \li \gudhi_example_link{Witness_complex,weak_witness_persistence.cpp} + * \li \gudhi_example_link{Witness_complex,example_nearest_landmark_table.cpp} * * \section Contributions Bug reports and contributions * Please help us improving the quality of the GUDHI library. diff --git a/src/python/doc/alpha_complex_user.rst b/src/python/doc/alpha_complex_user.rst index b060c86e..9e67d38a 100644 --- a/src/python/doc/alpha_complex_user.rst +++ b/src/python/doc/alpha_complex_user.rst @@ -178,11 +178,11 @@ Weighted version ^^^^^^^^^^^^^^^^ A weighted version for Alpha complex is available. It is like a usual Alpha complex, but based on a -`CGAL regular triangulation <https://doc.cgal.org/latest/Triangulation/index.html#title20>`_. +`CGAL regular triangulation <https://doc.cgal.org/latest/Triangulation/index.html#TriangulationSecRT>`_. This example builds the weighted alpha-complex of a small molecule, where atoms have different sizes. It is taken from -`CGAL 3d weighted alpha shapes <https://doc.cgal.org/latest/Alpha_shapes_3/index.html#title13>`_. +`CGAL 3d weighted alpha shapes <https://doc.cgal.org/latest/Alpha_shapes_3/index.html#AlphaShape_3DExampleforWeightedAlphaShapes>`_. Then, it is asked to display information about the alpha complex. diff --git a/src/python/doc/nerve_gic_complex_user.rst b/src/python/doc/nerve_gic_complex_user.rst index 0b820abf..8633cadb 100644 --- a/src/python/doc/nerve_gic_complex_user.rst +++ b/src/python/doc/nerve_gic_complex_user.rst @@ -12,7 +12,7 @@ Definition Visualizations of the simplicial complexes can be done with either neato (from `graphviz <http://www.graphviz.org/>`_), `geomview <http://www.geomview.org/>`_, -`KeplerMapper <https://github.com/MLWave/kepler-mapper>`_. +`KeplerMapper <https://github.com/scikit-tda/kepler-mapper>`_. Input point clouds are assumed to be OFF files (cf. `OFF file format <fileformats.html#off-file-format>`_). Covers |