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Random sampling in cut, flow, and network design problems
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the twenty-sixth annual ACM symposium on Theory of computing table of contents
Montreal, Quebec, Canada
Pages: 648 - 657  
Year of Publication: 1994
ISBN:0-89791-663-8
Author
David R. Karger  Department of Computer Science, Stanford University
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 15,   Downloads (12 Months): 99,   Citation Count: 13
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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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H. N. Gabow. "A framework for cost-scaling algorithms for submodular flow problems". In Proceedings of the 34#h Annual Symposium on Foundations of Computer Science, pages 449-458, Nov. 1993.
 
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H. N. Gabow, M. X. Goemans, and D. P. Williamson. "An efficient approximation algorithm for the survivable network design problem", in Proceedings of the Third MPS Conference on Integer Programming and Combinatorial Optimization# pages 57-74, 1993.
 
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D. R. Karger. "Random sampling in matroids, with applications to graph connectivity and minimum spanning trees". In Proceedings of the 34th Annual Symposium on Foundations of Computer Science, 1993.
 
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T. Leighton and S. Rao. "An approximate maxflow 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 422-4;31. IEEE, Oct. 1988.
 
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C. S. J. A. Nash-Williams. "Well-balanced orientations of finite graphs and unobtrusive odd-vertex-pairings/'. In W. T. Tutte, editor, Recent Progress in Combinatorics, pages 133-149. Academic Press, 1969.
 
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