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authorVincent Rouvreau <vincent.rouvreau@inria.fr>2022-01-04 22:22:19 +0100
committerVincent Rouvreau <vincent.rouvreau@inria.fr>2022-01-04 22:22:19 +0100
commitfce790683b9cfab5b6bbdc4dc21d79b72e1b61ea (patch)
treed4afbbe24a4ce841ec0c6760acf1e7be980bf316 /.github/next_release.md
parentce9a01193ee736fef19ae2390149b5aadba5363d (diff)
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We are pleased to announce the release 3.5.0 of the GUDHI library.
-As a major new feature, the GUDHI library now offers ...
+As a major new feature, the GUDHI library now offers Coxeter triangulations and points generators.
+The support for python 3.10 is available.
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).
Below is a list of changes made since GUDHI 3.4.1:
-- [Coxeter triangulation](https://gudhi.inria.fr/doc/latest/group__coxeter__triangulation.html)
+- [Coxeter triangulation](https://gudhi.inria.fr/doc/3.5.0rc2/group__coxeter__triangulation.html)
- constructs a piecewise-linear approximation of an m-dimensional smooth manifold embedded in R^d using an ambient triangulation.
-- [Datasets generators](https://gudhi.inria.fr/python/latest/datasets_generators.html)
- - the python module `points` enables the generation of random points on a sphere, random points on a torus and as a grid.
+- [Datasets generators](https://gudhi.inria.fr/python/3.5.0rc2/datasets_generators.html)
+ - the python module `points` enables the generation of points on a sphere or a flat torus.
- Miscellaneous
- The [list of bugs that were solved since GUDHI-3.4.1](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.5.0+is%3Aclosed) is available on GitHub.