• DocumentCode
    180805
  • Title

    Popular Conjectures Imply Strong Lower Bounds for Dynamic Problems

  • Author

    Abboud, A. ; Williams, Virginia Vassilevska

  • Author_Institution
    Comput. Sci. Dept., Stanford Univ., Palo Alto, CA, USA
  • fYear
    2014
  • fDate
    18-21 Oct. 2014
  • Firstpage
    434
  • Lastpage
    443
  • Abstract
    We consider several well-studied problems in dynamic algorithms and prove that sufficient progress on any of them would imply a breakthrough on one of five major open problems in the theory of algorithms: 1) Is the 3SUM problem on n numbers in O(n2-ε) time for some ε > 0? 2) Can one determine the satisfiability of a CNF formula on n variables and poly n clauses in O((2 - ε)npoly n) time for some ε > 0? 3) Is the All Pairs Shortest Paths problem for graphs on n vertices in O(n3-ε) time for some ε > 0? 4) Is there a linear time algorithm that detects whether a given graph contains a triangle? 5) Is there an O(n3-ε) time combinatorial algorithm for n×n Boolean matrix multiplication? The problems we consider include dynamic versions of bipartite perfect matching, bipartite maximum weight matching, single source reachability, single source shortest paths, strong connectivity, subgraph connectivity, diameter approximation and some nongraph problems such as Pagh´s problem defined in a recent paper by Patrascu[STOC 2010].
  • Keywords
    Boolean algebra; approximation theory; computability; computational complexity; matrix multiplication; reachability analysis; 3SUM problem; Boolean matrix multiplication; CNF formula; O((2-ε)n poly n) time; O(n3-ε) time combinatorial algorithm; Pagh´s problem; all pair shortest path problem; bipartite maximum weight matching; bipartite perfect matching; diameter approximation; dynamic algorithms; linear time algorithm; poly n clauses; satisfiability; single source reachability; single source shortest paths; strong connectivity; subgraph connectivity; Approximation algorithms; Computer science; Heuristic algorithms; Image edge detection; Polynomials; Runtime; Upper bound; 3SUM; all pairs shortest paths; dynamic algorithms; lower bounds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science (FOCS), 2014 IEEE 55th Annual Symposium on
  • Conference_Location
    Philadelphia, PA
  • ISSN
    0272-5428
  • Type

    conf

  • DOI
    10.1109/FOCS.2014.53
  • Filename
    6979028