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  1. Home > Articles & Issues >
  2. Articles >
  3. Computing Tutte Poly ...
Conference paper

Computing Tutte Polynomials

Michael Monagan (1)
(1) Department of Mathematics [Burnaby]
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Imported on
January 31, 2017
Published on
December 31, 2011
Last modified on
March 31, 2025
Volume
DMTCS Proceedings vol. AR, 24th International Conference on Formal Power Series and Algebraic Combinatorics (FPSAC 2012)
Proceedings
DOI
10.46298/dmtcs.3087
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https://about.hal.science/hal-authorisation-v1
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Computing Tutte Polynomials

Michael Monagan (1)
(1) Department of Mathematics [Burnaby]
Abstract
English
We present a new edge selection heuristic and vertex ordering heuristic that together enable one to compute the Tutte polynomial of much larger sparse graphs than was previously doable. As a specific example, we are able to compute the Tutte polynomial of the truncated icosahedron graph using our Maple implementation in under 4 minutes on a single CPU. This compares with a recent result of Haggard, Pearce and Royle whose special purpose C++ software took one week on 150 computers.
French
Nous présentons deux nouvelles heuristiques pour le calcul du polynôme de Tutte de graphes de faible densité, basées sur les principes de sélection d'arêtes et d'arrangement linéaire de sommets, et qui permettent de traiter des graphes de bien plus grande tailles que les méthodes existantes. Par exemple, en utilisant notre implémentation en Maple, nous pouvons calculer le polynôme de Tutte de l'isocahédron tronqué en moins de 4 minutes sur un ordinateur à processeur unique, alors qu'un programme ad-hoc récent de Haggard, Pearce et Royle, utilisant 150 ordinateurs, a nécessité une semaine de calcul pour obtenir le même résultat.
Keywords
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
  • Tutte polynomials
  • edge deletion and contraction algorithms
  • NP-hard problems.
Cited by

Source: OpenCitations

  • Simulating quantum computations with Tutte polynomials

    npj Quantum Information

    Authors : Ryan L. Mann ORCID

    Journal reference : Volume 7, 2021, pp.

    DOI : 10.1038/s41534-021-00477-0
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