GUDHI version 3.13.0

We are pleased to announce the release 3.13.0 of the GUDHI library.

The GUDHI library is mainly developped using GitHub, do not hesitate to fork the GUDHI project on GitHub. 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:

• Simplex tree [C++] and [Python
  • A new euler_characteristic method, and a Python binding to num_simplices_by_dimension.
  • Preliminary support for multiple filtration values stored in the Simplex tree (available only in C++).
  • Serialization has been upgraded for multiple filtration values support, but also for a SERIALIZATION_VERSION number in order to track modification and compatibility between serialization files. It means the serialization files, including pickled SimplexTree, generated from a pre-3.13.0 gudhi version won’t be supported (an exception is thrown).
• Reproducibility
  • [C++] New random functions, with a default random generator that is used internally, and where the user can set the global seed.
  • [Python] New gudhi.random.set_seed function to set the global seed.
• Tangential complex [Python]
  • intrisic_dim constructor argument is deprecated (typo), please use intrinsic_dim instead.
• Miscellaneous
  • The list of bugs that were solved 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 for further details.

We kindly ask users to cite the GUDHI library as appropriately as possible in their papers, and to mention the use of the GUDHI library on the web pages of their projects using GUDHI and provide us with links to these web pages.

We provide bibtex entries for the modules of the User and Reference Manual, as well as for publications directly related to the GUDHI library.

Feel free to contact us in case you have any questions or remarks.

For further information about downloading and installing the library (C++ or Python), please visit the GUDHI web site.