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Abstract

We present the first constant-factor approximation algorithms for the following problem: Given a metric space (V,c), a set D ⊆ V of terminals/ customers with demands d:D→ℝ + , a facility opening cost f ∈ ℝ +  and a capacity u ∈ ℝ + , find a partition \(D=D_1\dot{\cup}\cdots\dot{\cup} D_k\) and Steiner trees T i for D i (i=1,...,k) with c(E(T i ))+d(D i )≤ u for i=1,...,k such that ∑\(_{i=1}^{k}\) c(E(T i )) + kf is minimum.

This problem arises in VLSI design. It generalizes the bin-packing problem and the Steiner tree problem. In contrast to other network design and facility location problems, it has the additional feature of upper bounds on the service cost that each facility can handle.

Among other results, we obtain a 4.1-approximation in polynomial time, a 4.5-approximation in cubic time and a 5-approximation as fast as computing a minimum spanning tree on (D,c).

Keywords

Approximation Algorithm Network Design Facility Location Minimum Span Tree Steiner Tree 
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 2005

Authors and Affiliations

  • Jens Maßberg
    • 1
  • Jens Vygen
    • 1
  1. 1.Research Institute for Discrete MathematicsUniversity of BonnBonnGermany

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