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Simpler and better approximation algorithms for network design
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing table of contents
San Diego, CA, USA
SESSION: Session 7B table of contents
Pages: 365 - 372  
Year of Publication: 2003
ISBN:1-58113-674-9
Authors
Anupam Gupta  Carnegie Mellon University, Pittsburgh, PA
Amit Kumar  Lucent Bell Labs, Murray Hill, NJ
Tim Roughgarden  Cornell University, Ithaca, NY
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 14,   Downloads (12 Months): 107,   Citation Count: 24
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ABSTRACT

We give simple and easy-to-analyze randomized approximation algorithms for several well-studied NP-hard network design problems. Our algorithms improve over the previously best known approximation ratios. Our main results are the following.

  • We give a randomized 3.55-approximation algorithm for the connected facility location problem. The algorithm requires three lines to state, one page to analyze, and improves the best-known performance guarantee for the problem.
  • We give a 5.55-approximation algorithm for virtual private network design. Previously, constant-factor approximation algorithms were known only for special cases of this problem.
  • We give a simple constant-factor approximation algorithm for the single-sink buy-at-bulk 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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Matthew Andrews and Lisa Zhang. Approximation algorithms for access network design. Algorithmica, 34(2):197--215, 2002. (Preliminary version in 39th FOCS, 1998.).
 
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Yair Bartal. Competitive Analysis of Distributed On-line Problems --- Distributed Paging. PhD thesis, Tel-Aviv University, Israel, 1994.
 
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Tae Ung Kim, Timothy J. Lowe, Arie Tamir, and James E. Ward. On the location of a tree-shaped facility. Networks, 28(3):167--175, 1996.
 
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Youngho Lee, Yuping Chiu, and Jennifer Ryan. A branch and cut algorithm for a Steiner tree-star problem. INFORMS Journal on Computing, 8(3):194--201, 1996.
 
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Robert C. Prim. Shortest interconnection networks and some generalizations. Bell System Technical Journal, 36:1389--1401, 1957.
 
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CITED BY  24

Collaborative Colleagues:
Anupam Gupta: colleagues
Amit Kumar: colleagues
Tim Roughgarden: colleagues