Bad link for Cech

1 files changed, 13 insertions, 13 deletions

diff --git a/.github/next_release.md b/.github/next_release.md
index 8e1e12da..26806de2 100644
--- a/.github/next_release.md
+++ b/.github/next_release.md
@@ -7,37 +7,37 @@ and weighted version for alpha complex in any dimension D.
 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).
 For further information, please visit the [GUDHI web site](https://gudhi.inria.fr/).
 
-# GUDHI 3.6.0rc1 Release Notes
+# GUDHI 3.6.0rc2 Release Notes
 Below is a list of changes made since GUDHI 3.5.0:
 
 - TensorFlow 2 models that can handle automatic differentiation for the computation of persistence diagrams:
-     - [Cubical complex](https://gudhi.inria.fr/python/latest/cubical_complex_tflow_itf_ref.html)
-     - [lower-star persistence on simplex trees](https://gudhi.inria.fr/python/latest/ls_simplex_tree_tflow_itf_ref.html)
-     - [Rips complex](https://gudhi.inria.fr/python/latest/rips_complex_tflow_itf_ref.html)
+     - [Cubical complex](https://gudhi.inria.fr/python/3.6.0rc2/cubical_complex_tflow_itf_ref.html)
+     - [lower-star persistence on simplex trees](https://gudhi.inria.fr/python/3.6.0rc2/ls_simplex_tree_tflow_itf_ref.html)
+     - [Rips complex](https://gudhi.inria.fr/python/3.6.0rc2/rips_complex_tflow_itf_ref.html)
 
-- [Cubical complex](https://gudhi.inria.fr/python/latest/cubical_complex_sklearn_itf_ref.html)
+- [Cubical complex](https://gudhi.inria.fr/python/3.6.0rc2/cubical_complex_sklearn_itf_ref.html)
      - Cubical complex persistence scikit-learn like interface
 
-- [Datasets](https://gudhi.inria.fr/python/latest/datasets.html)
+- [Datasets](https://gudhi.inria.fr/python/3.6.0rc2/datasets.html)
      - `datasets.remote.fetch_bunny` and `datasets.remote.fetch_spiral_2d` allows to fetch datasets from [GUDHI-data](https://github.com/GUDHI/gudhi-data)
 
-- [Alpha complex](https://gudhi.inria.fr/python/latest/alpha_complex_user.html)
+- [Alpha complex](https://gudhi.inria.fr/python/3.6.0rc2/alpha_complex_user.html)
      - python weighted version for alpha complex is now available in any dimension D.
-     - `alpha_complex = gudhi.AlphaComplex(off_file='/data/points/tore3D_300.off')` is deprecated, please use [read_points_from_off_file](https://gudhi.inria.fr/python/latest/point_cloud.html#gudhi.read_points_from_off_file) instead.
+     - `alpha_complex = gudhi.AlphaComplex(off_file='/data/points/tore3D_300.off')` is deprecated, please use [read_points_from_off_file](https://gudhi.inria.fr/python/3.6.0rc2/point_cloud.html#gudhi.read_points_from_off_file) instead.
 
-- [Edge collapse](https://gudhi.inria.fr/doc/latest/group__edge__collapse.html)
+- [Edge collapse](https://gudhi.inria.fr/doc/3.6.0rc2/group__edge__collapse.html)
      - rewriting of the module to improve performance
 
-- [Čech complex](https://gudhi.inria.fr/doc/latest/group__edge__collapse.html)
+- [Čech complex](https://gudhi.inria.fr/doc/3.6.0rc2/group__cech__complex.html)
      - rewriting of the module to improve performance
 
-- [Representations](https://gudhi.inria.fr/python/latest/representations.html#gudhi.representations.vector_methods.BettiCurve)
+- [Representations](https://gudhi.inria.fr/python/3.6.0rc2/representations.html#gudhi.representations.vector_methods.BettiCurve)
      - A more flexible Betti curve class capable of computing exact curves
 
-- [C++ documentation](https://gudhi.inria.fr/doc/latest/)
+- [C++ documentation](https://gudhi.inria.fr/doc/3.6.0rc2/)
      - upgrade and improve performance with new doxygen features
 
-- [Simplex tree](https://gudhi.inria.fr/python/latest/simplex_tree_ref.html)
+- [Simplex tree](https://gudhi.inria.fr/python/3.6.0rc2/simplex_tree_ref.html)
      - `__deepcopy__`, `copy` and copy constructors for python module
      - `expansion_with_blockers` python interface