Network optimisation - A statistical physics perspective

K.Y. Michael Wong, David Saad, C.H. Yeung

    Research output: Chapter in Book/Published conference outputOther chapter contribution

    Abstract

    Inference and optimisation of real-value edge variables in sparse graphs are studied using the tree based Bethe approximation optimisation algorithms. Equilibrium states of general energy functions involving a large set of real edge-variables that interact at the network nodes are obtained for networks in various cases. These include different cost functions, connectivity values, constraints on the edge bandwidth and the case of multiclass optimisation.
    Original languageEnglish
    Title of host publicationProceedings of the 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2008
    PublisherIEEE
    Pages577-582
    Number of pages6
    ISBN (Electronic)978-963-9799-18-9
    ISBN (Print)978-963-9799-18-9
    DOIs
    Publication statusPublished - 2008
    Event6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, 2008 (WiOPT 2008) - Berlin, Germany
    Duration: 1 Apr 20083 Apr 2008

    Workshop

    Workshop6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, 2008 (WiOPT 2008)
    Country/TerritoryGermany
    CityBerlin
    Period1/04/083/04/08

    Bibliographical note

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