A 2 + ɛ approximation algorithm for the k-MST problem

  • Authors:
  • Sanjeev Arora;George Karakostas

  • Affiliations:
  • Department of Computer Science, Princeton University, USA;Department of Computing & Software, McMaster University, Canada

  • Venue:
  • Mathematical Programming: Series A and B
  • Year:
  • 2006

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Abstract

For any ɛ 0 we give a (2 + ɛ)-approximation algorithm for the problem of finding a minimum tree spanning any k vertices in a graph (k-MST), improving a 3-approximation algorithm by Garg [10]. As in [10] the algorithm extends to a (2 + ɛ)-approximation algorithm for the minimum tour that visits any k vertices, provided the edge costs satisfy the triangle inequality.