• DocumentCode
    338458
  • Title

    Complexity of k-SAT

  • Author

    Impagliazzo, Russell ; Paturi, Ramamohan

  • Author_Institution
    California Univ., San Diego, La Jolla, CA, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    237
  • Lastpage
    240
  • Abstract
    The problem of k-SAT is to determine if the given k-CNF has a satisfying solution. It is a celebrated open question as to whether it requires exponential time to solve k-SAT for k⩾3. Define sk (for k⩾3) to be the infimum of {δ: there exists an O(2 δn) algorithm for solving k-SAT}. Define ETH (Exponential-Time Hypothesis) for k-SAT as follows: for k⩾3, sk >0. In other words, for k⩾3, k-SA does not have a subexponential-time algorithm. In this paper we show that sk is an increasing sequence assuming ETH for k-SAT: Let s be the limit of sk. We in fact show that sk⩽(1-d/k) s for some constant d>0
  • Keywords
    computational complexity; exponential time; k-SAT complexity; subexponential-time algorithm; Algorithm design and analysis; Educational programs; NP-complete problem; Polynomials; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 1999. Proceedings. Fourteenth Annual IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1093-0159
  • Print_ISBN
    0-7695-0075-7
  • Type

    conf

  • DOI
    10.1109/CCC.1999.766282
  • Filename
    766282