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Approximation Algorithms for Buy-at-Bulk Geometric Network Design

  • Artur Czumaj
  • Jurek Czyzowicz
  • Leszek Gąsieniec
  • Jesper Jansson
  • Andrzej Lingas
  • Pawel Zylinski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5664)

Abstract

The buy-at-bulk network design problem has been extensively studied in the general graph model. In this paper we consider the geometric version of the problem, where all points in a Euclidean space are candidates for network nodes. We present the first general approach for geometric versions of basic variants of the buy-at-bulk network design problem. It enables us to obtain quasi-polynomial-time approximation schemes for basic variants of the buy-at-bulk geometric network design problem with polynomial total demand. Then, for instances with few sinks and low capacity links, we design very fast polynomial-time low-constant approximations algorithms.

Keywords

Approximation Algorithm Network Design Voronoi Diagram Steiner Tree Total Demand 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Artur Czumaj
    • 1
  • Jurek Czyzowicz
    • 2
  • Leszek Gąsieniec
    • 3
  • Jesper Jansson
    • 4
  • Andrzej Lingas
    • 5
  • Pawel Zylinski
    • 6
  1. 1.Centre for Discrete Mathematics and its Applications (DIMAP) and Department of Computer ScienceUniversity of WarwickUK
  2. 2.Departement d’InformatiqueUniversite du Quebec en Outaouais, GatineauQuebecCanada
  3. 3.Department of Computer ScienceUniversity of LiverpoolUK
  4. 4.Ochanomizu UniversityTokyoJapan
  5. 5.Department of Computer ScienceLund UniversityLundSweden
  6. 6.Institute of Computer ScienceUniversity of GdańskGdańskPoland

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