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GUDHI Python module documentation
#################################
.. 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 <http://gudhi.gforge.inria.fr/python/latest/>`_, for
Computational Topology and Topological Data Analysis
(`TDA <https://en.wikipedia.org/wiki/Topological_data_analysis>`_).
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.inc
Cubical complex
===============
.. include:: cubical_complex_sum.inc
Rips complex
============
.. include:: rips_complex_sum.inc
Simplex tree
============
.. include:: simplex_tree_sum.inc
Tangential complex
==================
.. include:: tangential_complex_sum.inc
Witness complex
===============
.. include:: witness_complex_sum.inc
Toolbox
*******
Bottleneck distance
===================
.. include:: bottleneck_distance_sum.inc
Persistence cohomology
======================
.. include:: persistent_cohomology_sum.inc
Persistence graphical tools
===========================
.. include:: persistence_graphical_tools_sum.inc
Bibliography
************
.. bibliography:: ../../biblio/bibliography.bib
:filter: docnames
:style: unsrt
|
