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PHOEG Helps to Obtain Extremal Graphsch:32

In: Operations Research Proceedings 2018

Author

Listed:
  • Gauvain Devillez

    (University of Mons)

  • Pierre Hauweele

    (University of Mons)

  • Hadrien Mélot

    (University of Mons)

Abstract

We present PHOEG, an ecosystem of tools designed to help researchers in Extremal Graph Theory. It uses a big relational database of undirected graphs and works with the convex hull of the graphs as points in the invariants space in order to exactly obtain the extremal graphs and optimal bounds on the invariants for some fixed parameters. The results obtained on the restricted finite class of graphs can later be used to infer conjectures. This database also allows us to make queries on those graphs. Once the conjecture defined, PHOEG goes one step further by helping in the process of designing a proof guided by successive applications of transformations from any graph to an extremal graph. To this aim, we use a second database based on a graph data model.

Suggested Citation

  • Gauvain Devillez & Pierre Hauweele & Hadrien Mélot, 2019. "PHOEG Helps to Obtain Extremal Graphsch:32," Operations Research Proceedings, in: Bernard Fortz & Martine Labbé (ed.), Operations Research Proceedings 2018, pages 251-257, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-18500-8_32
    DOI: 10.1007/978-3-030-18500-8_32
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