New release
GUDHI version 3.9.0
We are pleased to announce the release 3.9.0 of the GUDHI library.
We are now using GitHub to develop the GUDHI library, 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 made since GUDHI 3.8.0:
- CubicalPersistence
- Much faster implementation for the 2d case with input from top-dimensional cells.
- Simplex_tree
- A helper
for_each_simplex
that applies a given function object on each simplex - A new method
num_simplices_by_dimension
is now available thanks to this helper. - A
clear
method to empty the data stucture. - A new argument
ignore_infinite_values
forinitialize_filtration
method to skip infinite values. As a side effect, this change enhances the persistence computation. Simplex_tree_options_full_featured
has been renamedSimplex_tree_options_default
andSimplex_tree_options_python
. These are respectively the default options used by theSimplex_tree
and by the python interface of theSimplexTree
(as before this version).- From GUDHI 3.9.0,
Simplex_tree_options_full_featured
now activateslink_nodes_by_label
andstable_simplex_handles
(making it slower, except for browsing cofaces).
Simplex_tree_options_* :warning: full_featured default python minimal store_key 1 1 1 0 store_filtration 1 1 1 0 contiguous_vertices 0 0 0 0 link_nodes_by_label 1 0 0 0 stable_simplex_handles 1 0 0 0 Filtration_value double double double - A helper
- Simplex_tree options
- A new option
link_nodes_by_label
to speed up cofaces and stars access, when set to true. - A new option
stable_simplex_handles
to keep Simplex handles valid even after insertions or removals, when set to true.
- A new option
- Čech complex
- A function
assign_MEB_filtration
that assigns to each simplex a filtration value equal to the squared radius of its minimal enclosing ball (MEB), given a simplicial complex and an embedding of its vertices. Applied on a Delaunay triangulation, it computes the Delaunay-Čech filtration.
- A function
- Edge collapse
- A Python function
reduce_graph
to simplify a clique filtration (represented as a sparse weighted graph), while preserving its persistent homology.
- A Python function
- Mapper/GIC/Nerve complexes
- A new method
save_to_html
to ease the Keppler Mapper visualization
- A new method
- Installation
- Boost ≥ 1.71.0 is now required (was ≥ 1.66.0).
- cython >= 3.0.0 is now supported.
- Python 3.12 pip package.
- Miscellaneous
- The list of bugs that were solved since GUDHI-3.8.0 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.
RELEASE
GUDHI release