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author | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2020-06-16 21:17:18 +0200 |
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committer | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2020-06-16 21:17:18 +0200 |
commit | 4e43680ec21c64e575ae991b39a2d897bda2a302 (patch) | |
tree | e57fd3de2e28f431dbd93dcab934eb9f069cc729 /src/python/introduction.rst | |
parent | 0a26e55af17a19b3e33b852b722f6d089abc6f9c (diff) | |
parent | a12d1451d1413444319ccdc24bfacaae35012ce0 (diff) |
Merge branch 'master' into edge_collapse_integration_vincent
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diff --git a/src/python/introduction.rst b/src/python/introduction.rst new file mode 100644 index 00000000..11c06ac5 --- /dev/null +++ b/src/python/introduction.rst @@ -0,0 +1,24 @@ +The Gudhi library is an open source library for Computational Topology and +Topological Data Analysis (TDA). It offers state-of-the-art algorithms +to construct various types of simplicial complexes, data structures to +represent them, and algorithms to compute geometric approximations of shapes +and persistent homology. + +The GUDHI library offers the following interoperable modules: + +* Complexes: + * Cubical + * Simplicial: Rips, Witness, Alpha and Čech complexes + * Cover: Nerve and Graph induced complexes +* Data structures and basic operations: + * Simplex tree, Skeleton blockers and Toplex map + * Construction, update, filtration and simplification +* Topological descriptors computation +* Manifold reconstruction +* Topological descriptors tools: + * Bottleneck distance + * Statistical tools + * Persistence diagram and barcode + +For more information about Topological Data Analysis and its workflow, please +refer to the `Wikipedia TDA dedicated page <https://en.wikipedia.org/wiki/Topological_data_analysis>`_. |