Minimizing Average Shortest Path Distances via Shortcut Edge Addition

  • Authors:
  • Adam Meyerson;Brian Tagiku

  • Affiliations:
  • University of California, Los Angeles;University of California, Los Angeles

  • Venue:
  • APPROX '09 / RANDOM '09 Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
  • Year:
  • 2009

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Abstract

We consider adding k shortcut edges (i.e. edges of small fixed length *** *** 0) to a graph so as to minimize the weighted average shortest path distance over all pairs of vertices. We explore several variations of the problem and give O (1)-approximations for each. We also improve the best known approximation ratio for metric k -median with penalties, as many of our approximations depend upon this bound. We give a $(1+2\frac{(p+1)}{\beta(p+1)-1},\beta)$-approximation with runtime exponential in p . If we set β = 1 (to be exact on the number of medians), this matches the best current k -median (without penalties) result.