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Robust satisfiability of constraint satisfaction problems

Published: 19 May 2012 Publication History

Abstract

An algorithm for a constraint satisfaction problem is called robust if it outputs an assignment satisfying at least (1-g(ε))-fraction of the constraints given a (1-ε)-satisfiable instance, where g(ε) -> 0 as ε -> 0, $g(0)=0. Guruswami and Zhou conjectured a characterization of constraint languages for which the corresponding constraint satisfaction problem admits an efficient robust algorithm. This paper confirms their conjecture.

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    cover image ACM Conferences
    STOC '12: Proceedings of the forty-fourth annual ACM symposium on Theory of computing
    May 2012
    1310 pages
    ISBN:9781450312455
    DOI:10.1145/2213977
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    Published: 19 May 2012

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    Author Tags

    1. approximation
    2. bounded width
    3. constraint satisfaction problem
    4. robust satisfiability
    5. universal algebra

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    May 19 - 22, 2012
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