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author | Théo Lacombe <lacombe1993@gmail.com> | 2020-06-29 10:24:44 +0200 |
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committer | GitHub <noreply@github.com> | 2020-06-29 10:24:44 +0200 |
commit | 0b4de61a18bc30f66a7fb45cc246cff2f55ba1a1 (patch) | |
tree | 47527fd4d63632f3c39a6f2660ec141417f093b6 /src/python/introduction.rst | |
parent | 6c65d29acc3b03d21beca653834340787bf0c65e (diff) | |
parent | cec4a5d7df6d5ed43511e94f9db580489979105a (diff) |
Merge branch 'master' into fix342
Diffstat (limited to 'src/python/introduction.rst')
-rw-r--r-- | src/python/introduction.rst | 24 |
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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>`_. |