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A quasi-PTAS for unsplittable flow on line graphs
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing table of contents
Seattle, WA, USA
SESSION: Session 15B table of contents
Pages: 721 - 729  
Year of Publication: 2006
ISBN:1-59593-134-1
Authors
Nikhil Bansal  IBM T. J. Watson Research Center, Yorktown Heights, NY
Amit Chakrabarti  Dartmouth College, Hanover, NH
Amir Epstein  Tel Aviv University, Tel Aviv, Israel
Baruch Schieber  IBM T. J. Watson Research Center, Yorktown Heights, NY
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We study the Unsplittable Flow Problem (UFP) on line graphs and cycles, focusing on the long-standing open question of whether the problem is APX-hard. We describe a deterministic quasi-polynomial time approximation scheme for UFP on line graphs, thereby ruling out an APX-hardness result, unless NP ⊆ DTIME(2polylog(n)). Our result requires a quasi-polynomial bound on all edge capacities and demands in the input instance. We extend this result to undirected cycle graphs.Earlier results on this problem included a polynomial time (2+ε)-approximation under the assumption that no demand exceeds any edge capacity (the "no-bottleneck assumption") and a super-constant integrality gap if this assumption did not hold. Unlike most earlier work on UFP, our results do not require a no-bottleneck assumption.


REFERENCES

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Collaborative Colleagues:
Nikhil Bansal: colleagues
Amit Chakrabarti: colleagues
Amir Epstein: colleagues
Baruch Schieber: colleagues