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-rw-r--r--src/python/doc/_templates/layout.html2
-rw-r--r--src/python/doc/alpha_complex_sum.inc15
-rw-r--r--src/python/doc/installation.rst5
-rw-r--r--src/python/doc/wasserstein_distance_user.rst17
4 files changed, 23 insertions, 16 deletions
diff --git a/src/python/doc/_templates/layout.html b/src/python/doc/_templates/layout.html
index 2f2d9c72..a672a281 100644
--- a/src/python/doc/_templates/layout.html
+++ b/src/python/doc/_templates/layout.html
@@ -201,7 +201,7 @@
<a href="#">Download</a>
<ul class="dropdown">
<li><a href="/licensing/">Licensing</a></li>
- <li><a href="https://gforge.inria.fr/frs/download.php/latestzip/5253/library-latest.zip" target="_blank">Get the latest sources</a></li>
+ <li><a href="https://github.com/GUDHI/gudhi-devel/releases/latest" target="_blank">Get the latest sources</a></li>
<li><a href="/conda/">Conda package</a></li>
<li><a href="/dockerfile/">Dockerfile</a></li>
</ul>
diff --git a/src/python/doc/alpha_complex_sum.inc b/src/python/doc/alpha_complex_sum.inc
index a1184663..b5af0d27 100644
--- a/src/python/doc/alpha_complex_sum.inc
+++ b/src/python/doc/alpha_complex_sum.inc
@@ -5,16 +5,13 @@
| .. figure:: | Alpha complex is a simplicial complex constructed from the finite | :Author: Vincent Rouvreau |
| ../../doc/Alpha_complex/alpha_complex_representation.png | cells of a Delaunay Triangulation. | |
| :alt: Alpha complex representation | | :Introduced in: GUDHI 2.0.0 |
- | :figclass: align-center | The filtration value of each simplex is computed as the square of the | |
- | | circumradius of the simplex if the circumsphere is empty (the simplex | :Copyright: MIT (`GPL v3 </licensing/>`_) |
- | | is then said to be Gabriel), and as the minimum of the filtration | |
- | | values of the codimension 1 cofaces that make it not Gabriel | :Requires: `Eigen <installation.html#eigen>`__ :math:`\geq` 3.1.0 and `CGAL <installation.html#cgal>`__ :math:`\geq` 4.11.0 |
- | | otherwise. All simplices that have a filtration value | |
- | | :math:`> \alpha^2` are removed from the Delaunay complex | |
- | | when creating the simplicial complex if it is specified. | |
+ | :figclass: align-center | The filtration value of each simplex is computed as the **square** of | |
+ | | the circumradius of the simplex if the circumsphere is empty (the | :Copyright: MIT (`GPL v3 </licensing/>`_) |
+ | | simplex is then said to be Gabriel), and as the minimum of the | |
+ | | filtration values of the codimension 1 cofaces that make it not | :Requires: `Eigen <installation.html#eigen>`__ :math:`\geq` 3.1.0 and `CGAL <installation.html#cgal>`__ :math:`\geq` 4.11.0 |
+ | | Gabriel otherwise. | |
| | | |
- | | This package requires having CGAL version 4.7 or higher (4.8.1 is | |
- | | advised for better performance). | |
+ | | For performances reasons, it is advised to use CGAL ≥ 5.0.0. | |
+----------------------------------------------------------------+------------------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------+
| * :doc:`alpha_complex_user` | * :doc:`alpha_complex_ref` |
+----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
diff --git a/src/python/doc/installation.rst b/src/python/doc/installation.rst
index 40f3f44b..d459145b 100644
--- a/src/python/doc/installation.rst
+++ b/src/python/doc/installation.rst
@@ -14,10 +14,11 @@ Compiling
*********
The library uses c++14 and requires `Boost <https://www.boost.org/>`_ ≥ 1.56.0,
`CMake <https://www.cmake.org/>`_ ≥ 3.1 to generate makefiles,
-`NumPy <http://numpy.org>`_ and `Cython <https://www.cython.org/>`_ to compile
+`NumPy <http://numpy.org>`_, `Cython <https://www.cython.org/>`_ and
+`pybind11 <https://github.com/pybind/pybind11>`_ to compile
the GUDHI Python module.
It is a multi-platform library and compiles on Linux, Mac OSX and Visual
-Studio 2015.
+Studio 2017.
On `Windows <https://wiki.python.org/moin/WindowsCompilers>`_ , only Python
≥ 3.5 are available because of the required Visual Studio version.
diff --git a/src/python/doc/wasserstein_distance_user.rst b/src/python/doc/wasserstein_distance_user.rst
index 32999a0c..94b454e2 100644
--- a/src/python/doc/wasserstein_distance_user.rst
+++ b/src/python/doc/wasserstein_distance_user.rst
@@ -9,17 +9,26 @@ Definition
.. include:: wasserstein_distance_sum.inc
-This implementation is based on ideas from "Large Scale Computation of Means and Cluster for Persistence Diagrams via Optimal Transport".
+Functions
+---------
+This implementation uses the Python Optimal Transport library and is based on
+ideas from "Large Scale Computation of Means and Cluster for Persistence
+Diagrams via Optimal Transport" :cite:`10.5555/3327546.3327645`.
-Function
---------
.. autofunction:: gudhi.wasserstein.wasserstein_distance
+This other implementation comes from `Hera
+<https://bitbucket.org/grey_narn/hera/src/master/>`_ (BSD-3-Clause) which is
+based on "Geometry Helps to Compare Persistence Diagrams"
+:cite:`Kerber:2017:GHC:3047249.3064175` by Michael Kerber, Dmitriy
+Morozov, and Arnur Nigmetov.
+
+.. autofunction:: gudhi.hera.wasserstein_distance
Basic example
-------------
-This example computes the 1-Wasserstein distance from 2 persistence diagrams with euclidean ground metric.
+This example computes the 1-Wasserstein distance from 2 persistence diagrams with Euclidean ground metric.
Note that persistence diagrams must be submitted as (n x 2) numpy arrays and must not contain inf values.
.. testcode::