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What and Who

Simpler and Better Approximation Algorithms for Network Design

Guido Schaefer
Max-Planck-Institut für Informatik - AG 1
AG1 Mittagsseminar (others' work)
AG 1, AG 2, AG 3, AG 4  
AG Audience
English

Date, Time and Location

Wednesday, 22 October 2003
13:30
-- Not specified --
46.1 - MPII
024
Saarbrücken

Abstract

Simpler and Better Approximation Algorithms for Network Design

Gupta, Kumar, Roughgarden, STOC (2003), http://www.cs.cornell.edu/timr/papers/simple.ps

Abstract (of the paper): We give simple and easy­to­analyze randomized approximation algorithms for several well­studied NP­hard network design problems. Our algorithms improve over the previously best known approximation ratios. Our main results are the following. We give a randomized 3.55­approximation algorithm for the connected facility location problem. The algorithm requires three lines to state, one page to analyze, and improves the best­known performance guarantee for the problem. We give a 5.55­approximation algorithm for virtual private network design. Previously, constant­factor approximation algorithms were known only for special cases of this problem. We give a simple constant­factor approximation algorithm for the single­sink buy­at­bulk network design problem. Our performance guarantee improves over what was previously known, and is an order of magnitude improvement over previous combinatorial approximation algorithms for the problem.

Contact

Ingmar Weber
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