A combinatorial algorithm for weighted stable sets in bipartite graphs

  • Authors:
  • Ulrich Faigle;Gereon Frahling

  • Affiliations:
  • ZAIK, Center for Applied Computer Science, University of Cologne, Cologne, Germany;Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

  • Venue:
  • Discrete Applied Mathematics - Special issue: 2nd cologne/twente workshop on graphs and combinatorial optimization (CTW 2003)
  • Year:
  • 2006

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Abstract

Computing a maximum weighted stable set in a bipartite graph is considered well-solved and usually approached with preflow-push, Ford-Fulkerson or network simplex algorithms. We present a combinatorial algorithm for the problem that is not based on flows. Numerical tests suggest that this algorithm performs quite well in practice and is competitive with flow based algorithms especially in the case of dense graphs.