From a74503eca0f30a8183719008cd02b48823ba72d4 Mon Sep 17 00:00:00 2001 From: ROUVREAU Vincent Date: Sat, 16 May 2020 09:52:47 +0200 Subject: Release note for version 3.2.0 --- .github/next_release.md | 41 +++++++++++++++++++++++++++++++++++------ 1 file changed, 35 insertions(+), 6 deletions(-) diff --git a/.github/next_release.md b/.github/next_release.md index 83b98a1c..1112ef70 100644 --- a/.github/next_release.md +++ b/.github/next_release.md @@ -1,21 +1,50 @@ -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. -- cgit v1.2.3