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libsemigroups - Version 2.0.1

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C++ library for semigroups and monoids

What is libsemigroups?

libsemigroups is a C++14 library containing implementations of several algorithms for computing finite and finitely presented semigroups. Namely:

libsemigroups is partly based on Algorithms for computing finite semigroups, Expository Slides, and Semigroupe 2.01 by Jean-Eric Pin.

The main classes in libsemigroups are named after the algorithms they implement; for example, libsemigroups::FroidurePin, libsemigroups::congruence::ToddCoxeter, libsemigroups::fpsemigroup::KnuthBendix, and libsemigroups::SchreierSims.

The implementations in libsemigroups::FroidurePin and libsemigroups::SchreierSims are generic and easily adapted to user-defined types.

libsemigroups uses: HPCombi which uses the SSE and AVX instruction sets for very fast manipulation of transformations, partial permutations, permutations, and boolean matrices of small size; catch for tests; fmt for reporting; and eigen for some linear algebra computations.

How to use it

See the documentation https://libsemigroups.readthedocs.io/en/latest/

Installation instructions are here https://libsemigroups.readthedocs.io/en/latest/install.html

Issues

If you find any problems with libsemigroups, or have any suggestions for features that you'd like to see, please use the issue tracker.

Author

J. D. Mitchell

Contributors

  • R. Cirpons contributed to IsObviouslyInfinite and to integrating eigen.
  • F. Hivert contributed many helpful ideas to libsemigroups, an allocator implementation (to be included in a future version), and HPCombi.
  • J. James contributed some bugfixes.
  • J. Jonušas contributed to the implementation of the Froidure-Pin algorithm.
  • D. V. Pasechnik contributed to the build system.
  • F. Smith contributed the implementation of the Konieczny and Lallement-McFadden algorithm, to the Todd-Coxeter implementation, and to BMat8s.
  • N. Thiery contributed to the build system, packaging libsemigroups via conda, the python bindings and many helpful conversations and suggestions.
  • M. Torpey contributed to the congruences code in the v0.0.1 to v0.6.7.
  • M. Tsalakou contributed to the Knuth-Bendix implementation, and related algorithms for the class ActionDigraph.

Acknowledgements

We acknowledge financial support from the OpenDreamKit Horizon 2020 European Research Infrastructures project (#676541) (primarily for the python bindings).

We thank the Carnegie Trust for the Universities of Scotland for funding the PhD scholarship of J. Jonušas when he worked on this project.

We thank the Engineering and Physical Sciences Research Council (EPSRC) for funding the PhD scholarships of M. Torpey and F. Smith when they worked on this project (EP/M506631/1, EP/N509759/1).

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  • C++ 96.1%
  • M4 1.7%
  • Makefile 1.0%
  • Python 0.5%
  • Shell 0.3%
  • CMake 0.2%
  • Other 0.2%