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LP-Based Approximation Algorithms for Facility Location in Buy-at-Bulk Network Design

  • Zachary Friggstad
  • Mohsen RezapourEmail author
  • Mohammad R. Salavatipour
  • José A. Soto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9214)

Abstract

We study problems that integrate buy-at-bulk network design into the classical (connected) facility location problem. In such problems, we need to open facilities, build a routing network, and route every client demand to an open facility. Furthermore, capacities of the edges can be purchased in discrete units from K different cable types with costs that satisfy economies of scale. We extend the linear programming framework of Talwar [IPCO 2002] for the single-source buy-at-bulk problem to these variants and prove integrality gap upper bounds for both facility location and connected facility location buy-at-bulk problems. For the unconnected variant we prove an integrality gap bound of O(K), and for the connected version, we get an improved bound of O(1).

Keywords

Network Design Access Network Facility Location Steiner Tree Core Network 
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 International Publishing Switzerland 2015

Authors and Affiliations

  • Zachary Friggstad
    • 1
  • Mohsen Rezapour
    • 2
    Email author
  • Mohammad R. Salavatipour
    • 1
  • José A. Soto
    • 3
  1. 1.Department of Computing ScienceUniversity of AlbertaEdmontonCanada
  2. 2.Institute for MathematicsTU BerlinBerlinGermany
  3. 3.DIM and CMMUniversidad de ChileSantiagoChile

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