Coloring random graphs in polynomial expected time

Martin Furer, C. R. Subramanian, C. E.Veni Madhavan

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Scopus citations

    Abstract

    We consider the problem of vertex coloring random k-colorable graphs using k colors. We consider two different models for generating random graphs. We give algorithms for coloring random graphs in these models, with running times polynomial on the average. The first model is discussed in Turner [6] and the second model is discussed in Dyer and Frieze [3]. Our results improve the these current results for this problem by removing the assumption ofconstant edge probability used in these models.

    Original languageEnglish (US)
    Title of host publicationAlgorithms and Computation - 4th International Symposium, ISAAC 1993, Proceedings
    EditorsKam Wing Ng, Prabhakar Raghavan, N.V. Balasubramanian, Francis Y.L. Chin
    PublisherSpringer Verlag
    Pages31-37
    Number of pages7
    ISBN (Print)9783540575689
    DOIs
    StatePublished - 1993
    Event4th International Symposium on Algorithms and Computation, ISAAC 1993 - Hong Kong, China
    Duration: Dec 15 1993Dec 17 1993

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume762 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other4th International Symposium on Algorithms and Computation, ISAAC 1993
    CountryChina
    CityHong Kong
    Period12/15/9312/17/93

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

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  • Cite this

    Furer, M., Subramanian, C. R., & Madhavan, C. E. V. (1993). Coloring random graphs in polynomial expected time. In K. W. Ng, P. Raghavan, N. V. Balasubramanian, & F. Y. L. Chin (Eds.), Algorithms and Computation - 4th International Symposium, ISAAC 1993, Proceedings (pp. 31-37). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 762 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-57568-5_232