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author | Marc Glisse <marc.glisse@inria.fr> | 2020-06-19 15:33:43 +0200 |
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committer | Marc Glisse <marc.glisse@inria.fr> | 2020-06-19 15:33:43 +0200 |
commit | f2ebd5d52eb2005d84c4abb631aaae6caf1f0157 (patch) | |
tree | ee5a0d2fc100265a464b073004b0a763f7483522 /src/python/introduction.rst | |
parent | dd39431320e8c219b1eab9265c1a41aa53172ee5 (diff) | |
parent | c43010ec0244748c2f86a2b6622713f68fbd6cb8 (diff) |
Merge remote-tracking branch 'origin/master' into tomato2
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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>`_. |