• DocumentCode
    3174736
  • Title

    Combinatorial algorithms for the generalized circulation problem

  • Author

    Goldberg, Andrew V. ; Plotkin, Serge A. ; Tardos, Éva

  • Author_Institution
    Dept. of Comput. Sci., Stanford Univ., CA, USA
  • fYear
    1988
  • fDate
    24-26 Oct 1988
  • Firstpage
    432
  • Lastpage
    443
  • Abstract
    A generalization of the maximum-flow problem is considered in which the amounts of flow entering and leaving an arc are linearly related. More precisely, if x(e) units of flow enter an arc e, x(e)λ(e) units arrive at the other end. For instance, nodes of the graph can correspond to different currencies, with the multipliers being the exchange rates. Conservation of flow is required at every node except a given source node. The goal is to maximize the amount of flow excess at the source. This problem is a special case of linear programming, and therefore can be solved in polynomial time. The authors present polynomial-time combinatorial algorithms for this problem. The algorithms are simple and intuitive
  • Keywords
    graph theory; linear programming; combinatorial algorithms; generalized circulation problem; graph; linear programming; maximum-flow problem; nodes; Algorithm design and analysis; Computer science; Contracts; Costs; Exchange rates; Laboratories; Linear programming; Mathematics; Polynomials; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1988., 29th Annual Symposium on
  • Conference_Location
    White Plains, NY
  • Print_ISBN
    0-8186-0877-3
  • Type

    conf

  • DOI
    10.1109/SFCS.1988.21959
  • Filename
    21959