• DocumentCode
    2169893
  • Title

    The resolution complexity of random constraint satisfaction problems

  • Author

    Molloy, Michael ; Salavatipour, Mohammad

  • Author_Institution
    Dept. of Comput. Sci., Toronto Univ., Ont., Canada
  • fYear
    2003
  • fDate
    11-14 Oct. 2003
  • Firstpage
    330
  • Lastpage
    339
  • Abstract
    We consider random instances of constraint satisfaction problems where each variable has domain size d, and each constraint contains t restrictions on k variables. For each (d, k, t) we determine whether the resolution complexity is a.s. constant, polynomial or exponential in the number of variables. For a particular range of (d, k, t) we determine a sharp threshold for resolution complexity where the resolution complexity drops from a.s. exponential to a.s. polynomial when the clause density passes a specific value.
  • Keywords
    computability; computational complexity; constraint theory; random processes; clause density; constant resolution complexity; domain size; exponential resolution complexity; polynomial resolution complexity; random constraint satisfaction problems; resolution complexity; restrictions; variables; Artificial intelligence; Chromium; Computer science; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 2003. Proceedings. 44th Annual IEEE Symposium on
  • ISSN
    0272-5428
  • Print_ISBN
    0-7695-2040-5
  • Type

    conf

  • DOI
    10.1109/SFCS.2003.1238207
  • Filename
    1238207