Approximation algorithms for the 0-extension problem

Gruia Calinescu*, Howard Karloff, Yuval Rabani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

In the 0-extension problem, we are given a weighted graph with some nodes marked as terminals and a semimetric on the set of terminals. Our goal is to assign the rest of the nodes to terminals so as to minimize the sum, over all edges, of the product of the edge's weight and the distance between the terminals to which its endpoints are assigned. This problem generalizes the multiway cut problem of Dahlhaus et al. [SIAM J. Comput., 23 (1994), pp. 864-894] and is closely related to the metric labeling problem introduced by Kleinberg and Tardos [Proceedings of the 40th IEEE Annual Symposium on Foundations of Computer Science, New York, 1999, pp. 14-23]. We present approximation algorithms for 0-EXTENSION. In arbitrary graphs, we present a O(log κ)-approximation algorithm, κ being the number of terminals. We also give O(1)-approximation guarantees for weighted planar graphs. Our results are based on a natural metric relaxation of the problem previously considered by Karzanov [European J. Combin., 19 (1998), pp. 71-101]. It is similar in flavor to the linear programming relaxation of Garg, Vazirani, and Yannakakis [SIAM J. Comput., 25 (1996), pp. 235-251] for the multicut problem, and similar to relaxations for other graph partitioning problems. We prove that the integrality ratio of the metric relaxation is at least c√lg κ for a positive c for infinitely many κ. Our results improve some of the results of Kleinberg and Tardos, and they further our understanding on how to use metric relaxations.

Original languageAmerican English
Pages (from-to)358-372
Number of pages15
JournalSIAM Journal on Computing
Volume34
Issue number2
DOIs
StatePublished - 2005
Externally publishedYes

Keywords

  • Approximation algorithm
  • Graph partitioning
  • Linear programming relaxation
  • Metric space

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