From 3b91ae863718c402a991c5807579f578d266a04b Mon Sep 17 00:00:00 2001 From: ROUVREAU Vincent Date: Sun, 31 May 2020 10:43:07 +0200 Subject: add md file --- src/python/introduction.md | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) create mode 100644 src/python/introduction.md (limited to 'src/python') diff --git a/src/python/introduction.md b/src/python/introduction.md new file mode 100644 index 00000000..3277e0ac --- /dev/null +++ b/src/python/introduction.md @@ -0,0 +1,30 @@ +![](https://gudhi.inria.fr/images/gudhi_architecture.png) + +#Introduction + +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][1]. + + [1]: https://en.wikipedia.org/wiki/Topological_data_analysis + -- cgit v1.2.3