A Greedy Facility Location Algorithm Analyzed Using Dual Fitting

  • Authors:
  • Mohammad Mahdian;Evangelos Markakis;Amin Saberi;Vijay V. Vazirani

  • Affiliations:
  • -;-;-;-

  • Venue:
  • APPROX '01/RANDOM '01 Proceedings of the 4th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems and 5th International Workshop on Randomization and Approximation Techniques in Computer Science: Approximation, Randomization and Combinatorial Optimization
  • Year:
  • 2001

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Abstract

We present a natural greedyalgorithm for the metric uncapacitated facilitylo cation problem and use the method of dual fitting to analyze its approximation ratio, which turns out to be 1.861. The running time of our algorithm is O(mlogm), where m is the total number of edges in the underlying complete bipartite graph between cities and facilities. We use our algorithm to improve recent results for some variants of the problem, such as the fault tolerant and outlier versions. In addition, we introduce a new variant which can be seen as a special case of the concave cost version of this problem.