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An Approximation Algorithm for the Fault Tolerant Metric FacilityLocation Problem
Authors:Kamal?Jain  author-information"  >  author-information__contact u-icon-before"  >  mailto:kamalj@microsoft.com"   title="  kamalj@microsoft.com"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Vijay V.?Vazirani  author-information"  >  author-information__contact u-icon-before"  >  mailto:vazirani@cc.gatech.edu"   title="  vazirani@cc.gatech.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) One Microsoft Way, Redmond, WA 98007, USA;(2) College of Computing, Georgia Institute of Technology, Atlanta, GA 30332–0280, USA
Abstract:We consider a fault tolerant version of the metric facility location problem in which every city, j, is required to be connected to r j facilities. We give the first non-trivial approximation algorithm for this problem, having an approximation guarantee of 3 · H k , where k is the maximum requirement and H k is the kth harmonic number. Our algorithm is along the lines of [2] for the generalized Steiner network problem. It runs in phases, and each phase, using a generalization of the primal–dual algorithm of [5] for the metric facility location problem, reduces the maximum residual requirement by one.
Keywords:Approximation algorithms  Facility location  Fault tolerance  Linear programming
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