• DocumentCode
    1711001
  • Title

    Approximating directed multicuts

  • Author

    Cheriyan, Joseph ; Karloff, Howard ; Rabani, Yuval

  • Author_Institution
    Dept. of Combinatorics & Optimization, Waterloo Univ., Ont., Canada
  • fYear
    2001
  • Firstpage
    320
  • Lastpage
    328
  • Abstract
    The seminal paper of F.T. Leighton and S. Rao (1988) and subsequent papers presented approximate min-max theorems relating multicommodity flow values and cut capacities in undirected networks, developed the divide-and-conquer method for designing approximation algorithms, and generated novel tools for utilizing linear programming relaxations. Yet, despite persistent research efforts, these achievements could not be extended to directed networks, excluding a few cases that are "symmetric" and therefore similar to undirected networks. The paper is an attempt to remedy the situation. We consider the problem of finding a minimum multicut in a directed multicommodity flow network, and give the first nontrivial upper bounds on the maxflow-to-min multicut ratio. Our results are algorithmic, demonstrating nontrivial approximation guarantees.
  • Keywords
    approximation theory; flow graphs; linear programming; minimax techniques; approximate min-max theorems; approximation algorithms; cut capacities; directed multicommodity flow network; directed multicut approximation; directed networks; divide-and-conquer method; linear programming relaxations; max flow-to-min multicut ratio; multicommodity flow values; nontrivial approximation guarantees; nontrivial upper bounds; undirected networks; Algorithm design and analysis; Approximation algorithms; Chromium; Combinatorial mathematics; Computer science; Contracts; Design methodology; Linear programming; Statistics; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 2001. Proceedings. 42nd IEEE Symposium on
  • Print_ISBN
    0-7695-1116-3
  • Type

    conf

  • DOI
    10.1109/SFCS.2001.959906
  • Filename
    959906