A dual-fitting 3/2-approximation algorithm for some minimum-cost graph problems

  • Authors:
  • James M. Davis;David P. Williamson

  • Affiliations:
  • School of Operations Research and Information Engineering, Cornell University, Ithaca, NY;School of Operations Research and Information Engineering, Cornell University, Ithaca, NY

  • Venue:
  • ESA'12 Proceedings of the 20th Annual European conference on Algorithms
  • Year:
  • 2012

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Abstract

In an ESA 2011 paper, Couëtoux [2] gives a beautiful $\frac{3}{2}$-approximation algorithm for the problem of finding a minimum-cost set of edges such that each connected component has at least k vertices in it. The algorithm improved on previous 2-approximation algorithms for the problem. In this paper, we reanalyze Couëtoux's algorithm using dual-fitting and show how to generalize the algorithm to a broader class of graph problems previously considered in the literature.