summaryrefslogtreecommitdiff
path: root/src/cython/doc/index.rst
diff options
context:
space:
mode:
authormcarrier <mcarrier@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-05-16 08:16:49 +0000
committermcarrier <mcarrier@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-05-16 08:16:49 +0000
commit5a78c67dafc7a664d9b3c248bf2781c770393c68 (patch)
treea33408af4abedf120df65cb0b4f17d0cd3a26dd1 /src/cython/doc/index.rst
parentcce99f5f66d0eb4da5a12b145c29579cf7656185 (diff)
parent044c3fbd3634871805bc130dcad8f08ecd510784 (diff)
Merged latest trunk changes to Nerve_GIC
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/Nerve_GIC@2431 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 866ddfadee8160dfaa46b8d703fd8d8d4476892a
Diffstat (limited to 'src/cython/doc/index.rst')
-rw-r--r--src/cython/doc/index.rst19
1 files changed, 9 insertions, 10 deletions
diff --git a/src/cython/doc/index.rst b/src/cython/doc/index.rst
index fca63d65..f6d10567 100644
--- a/src/cython/doc/index.rst
+++ b/src/cython/doc/index.rst
@@ -1,5 +1,5 @@
-GUDHI documentation
-###################
+GUDHI Python module documentation
+#################################
.. image:: img/Gudhi_banner.png
:align: center
@@ -7,9 +7,9 @@ GUDHI documentation
Introduction
************
-The Gudhi library (Geometry Understanding in Higher Dimensions) is a generic
-open source `C++ library <http://gudhi.gforge.inria.fr/doc/latest/>`_, with a
-`Cython interface <http://gudhi.gforge.inria.fr/cython/latest/>`_, for
+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
@@ -20,12 +20,11 @@ data structures.
The current release of the GUDHI library includes:
* Data structures to represent, construct and manipulate simplicial complexes.
-* Algorithms to compute persistent homology and multi-field persistent homology.
-* Simplication of simplicial complexes by edge contraction.
+* Simplification of simplicial complexes by edge contraction.
+* Algorithms to compute persistent homology and bottleneck distance.
-All data-structures are generic and several of their aspects can be
-parameterized via template classes. We refer to :cite:`gudhilibrary_ICMS14`
-for a detailed description of the design of the library.
+We refer to :cite:`gudhilibrary_ICMS14` for a detailed description of the
+design of the library.
Data structures
***************