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Leighton-Rao might be practical: faster approximation algorithms for concurrent flow with uniform capacities
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the twenty-second annual ACM symposium on Theory of computing table of contents
Baltimore, Maryland, United States
Pages: 310 - 321  
Year of Publication: 1990
ISBN:0-89791-361-2
Authors
P. Klein  Computer Science Department, Brown University, Providence, RI
C. Stein  Laboratory for Computer Science, MIT, Cambridge, MA
É. Tardos  School of Operations Research, Cornell University Ithaca, NY
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 35,   Citation Count: 10
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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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A. V. Goldberg and R. E. Tarjan. finding minimumcost circulations by successive approximation. Technical Report MIT/LCS/TM-333, Laboratory for Computer Science, M.I.T., 1987. (Math. of Oper. Res., to appear).
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P. Klein and C. Stein. Leighton-Rao might be practical: a faster approximation algorithm for uniform concurrent flow. Unpublished manuscript, November 1989.
 
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F. T. Leighton, November 1989. Private communication.
 
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T. Leighton and S. Rao. An approximate max-flow min-cut theorem for uniform multicommodity flow problems with applications to approximation algorithms. In Proceedings of the 29th Annual Symposium on Foundations of Computer Science, pages 422-431. IEEE, October 1988.
 
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P. Raghavan. Probabilistic construction of deterministic algorithms: approximating packing integer programs. In Proceedings of the 27th Annual Symposium on Foundations of Computer Science, pages 10- 18, 1986.
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F. Shahrokhi and D. W. Matula. The maximum concurrent flow problem. Technical Reprot CSR-283, New Mexico Tech., 1988.
 
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E. Tardos. Improved approximation algorithm for concurrent multi-commodity flows. Technical Report 872, School of Operations Research and Industrial Engineering, Cornell University, October 1989.
 
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P. M. Valdya. Speeding up finear programming using fast matrix multiplication. In Proceedings of the 30th Annual Symposium on Foundations of Computer Science, pages 332-337, 1989.

CITED BY  10

Collaborative Colleagues:
P. Klein: colleagues
C. Stein: colleagues
É. Tardos: colleagues