Release note for version 3.2.0

1 files changed, 35 insertions, 6 deletions

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-We are pleased to announce the release 3.X.X of the GUDHI library.
+We are pleased to announce the release 3.2.0 of the GUDHI library.
 
 As a major new feature, the GUDHI library now offers a Python interface to [Hera](https://bitbucket.org/grey_narn/hera/src/master/) to compute the Wasserstein distance.
 [PyBind11](https://github.com/pybind/pybind11) is now required to build the Python module.
 
-We are now using GitHub to develop the GUDHI library, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.X.X.tar.gz).
+We are now using GitHub to develop the GUDHI library, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.2.0.tar.gz).
 
 Below is a list of changes made since GUDHI 3.1.1:
 
+- Point cloud utilities
+     - A new module [Time Delay Embedding](https://gudhi.inria.fr/python/latest/point_cloud.html#time-delay-embedding)
+       to embed time-series data in the R^d according to [Takens' Embedding Theorem](https://en.wikipedia.org/wiki/Takens%27s_theorem)
+       and obtain the coordinates of each point.
+     - A new module [K Nearest Neighbors](https://gudhi.inria.fr/python/latest/point_cloud.html#k-nearest-neighbors)
+       that wraps several implementations for computing the k nearest neighbors in a point set.
+     - A new module [Distance To Measure](https://gudhi.inria.fr/python/latest/point_cloud.html#distance-to-measure)
+       to compute the distance to the empirical measure defined by a point set
+
+- [Persistence representations](https://gudhi.inria.fr/python/latest/representations.html)
+     - Interface to Wasserstein distances.
+
+- Rips complex
+     - A new module [Weighted Rips Complex](https://gudhi.inria.fr/python/latest/rips_complex_user.html#weighted-rips-complex)
+       to construct a simplicial complex from a distance matrix and weights on vertices.
+
 - [Wassertein distance](https://gudhi.inria.fr/python/latest/wasserstein_distance_user.html)
-     - An another implementation comes from Hera (BSD-3-Clause) which is based on [Geometry Helps to Compare Persistence Diagrams](http://doi.acm.org/10.1145/3064175) by Michael Kerber, Dmitriy Morozov, and Arnur Nigmetov.
+     - An [another implementation](https://gudhi.inria.fr/python/latest/wasserstein_distance_user.html#hera)
+       comes from Hera (BSD-3-Clause) which is based on [Geometry Helps to Compare Persistence Diagrams](http://doi.acm.org/10.1145/3064175)
+       by Michael Kerber, Dmitriy Morozov, and Arnur Nigmetov.
      - `gudhi.wasserstein.wasserstein_distance` has now an option to return the optimal matching that achieves the distance between the two diagrams.
+     - A new module [Barycenters](https://gudhi.inria.fr/python/latest/wasserstein_distance_user.html#barycenters)
+       to estimate the Frechet mean (aka Wasserstein barycenter) between persistence diagrams.
+
+- [Simplex tree](https://gudhi.inria.fr/python/latest/simplex_tree_ref.html)
+     - Extend filtration method to compute extended persistence
+     - Flag and lower star persistence pairs generators
+     - A new interface to filtration, simplices and skeleton getters to return an iterator
+
+- [Alpha complex](https://gudhi.inria.fr/doc/latest/group__alpha__complex.html)
+     - Improve computations (cache circumcenters computation and point comparison improvement)
 
-- [Module](link)
-     - ...
+- [Persistence graphical tools](https://gudhi.inria.fr/python/latest/persistence_graphical_tools_user.html)
+     - Use LaTeX style and grey block
+     - (N x 2) numpy arrays as input 
 
 - Miscellaneous
-     - The [list of bugs that were solved since GUDHI-3.1.1](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.2.0+is%3Aclosed) is available on GitHub.
+     - The [list of bugs that were solved since GUDHI-3.2.0](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.2.0+is%3Aclosed) is available on GitHub.
 
 All modules are distributed under the terms of the MIT license.
 However, there are still GPL dependencies for many modules. We invite you to check our [license dedicated web page](https://gudhi.inria.fr/licensing/) for further details.