• DocumentCode
    3710093
  • Title

    Satisfiability of Ordering CSPs above Average is Fixed-Parameter Tractable

  • Author

    Konstantin Makarychev;Yury Makarychev;Yuan Zhou

  • fYear
    2015
  • Firstpage
    975
  • Lastpage
    993
  • Abstract
    We study the satisfiability of ordering constraint satisfaction problems (CSPs) above average. We prove the conjecture of Gutin, van Iersel, Mnich, and Yeo that the satisfiability above average of ordering CSPs of arity k is fixed-parameter tractable for every k. Previously, this was only known for k=2 and k=3. We also generalize this result to more general classes of CSPs, including CSPs with predicates defined by linear equations. To obtain our results, we prove a new Bonami-type inequality for the Efron -- Stein decomposition. The inequality applies to functions defined on arbitrary product probability spaces. In contrast to other variants of the Bonami Inequality, it does not depend on the mass of the smallest atom in the probability space. We believe that this inequality is of independent interest.
  • Keywords
    "Approximation methods","Approximation algorithms","Atomic measurements","Kernel","Lattices","Games","Polynomials"
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on
  • ISSN
    0272-5428
  • Type

    conf

  • DOI
    10.1109/FOCS.2015.64
  • Filename
    7354438