GUDHI Python module documentation
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.. figure::
../../doc/common/Gudhi_banner.png
:alt: Gudhi banner
:figclass: align-center
Introduction
************
The Python interface for the Gudhi library (Geometry Understanding in Higher
Dimensions) is a generic open source
`Python module `_, for
Computational Topology and Topological Data Analysis
(`TDA `_).
The GUDHI library intends to help the development of new algorithmic solutions
in TDA and their transfer to applications. It provides robust, efficient,
flexible and easy to use implementations of state-of-the-art algorithms and
data structures.
The current release of the GUDHI library includes:
* Data structures to represent, construct and manipulate simplicial complexes.
* Simplification of simplicial complexes by edge contraction.
* Algorithms to compute persistent homology and bottleneck distance.
We refer to :cite:`gudhilibrary_ICMS14` for a detailed description of the
design of the library.
Data structures
***************
Alpha complex
=============
.. include:: alpha_complex_sum.rst
Cubical complex
===============
.. include:: cubical_complex_sum.rst
Rips complex
============
.. include:: rips_complex_sum.rst
Simplex tree
============
.. include:: simplex_tree_sum.rst
Tangential complex
==================
.. include:: tangential_complex_sum.rst
Witness complex
===============
.. include:: witness_complex_sum.rst
Toolbox
*******
Bottleneck distance
===================
.. include:: bottleneck_distance_sum.rst
Persistence cohomology
======================
.. include:: persistent_cohomology_sum.rst
Persistence graphical tools
===========================
.. include:: persistence_graphical_tools_sum.rst
Bibliography
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.. bibliography:: ../../biblio/bibliography.bib
:filter: docnames
:style: unsrt