| Improved algorithms via approximations of probability distributions (extended abstract) |
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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: 584 - 592
Year of Publication: 1994
ISBN:0-89791-663-8
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Authors
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Suresh Chari
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Dept. of Computer Science, Cornell University, Ithaca NY
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Pankaj Rohatgi
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Thompson Consumer Electronics, Los Angeles, CA
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Aravind Srinivasan
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DIMACS Center, Rutgers University, Piscataway, NJ, and School of Mathematics, The Institute for Advanced Study, Princeton, NJ
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| Bibliometrics |
Downloads (6 Weeks): 1, Downloads (12 Months): 9, Citation Count: 1
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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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N. Alon and M. Naor. Derandomization, witnessses for Boolean matrix multiplication and construction of perfect hash functions. Manuscript, 1992.
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[doi> 10.1145/129712.129714]
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S. Rajagopalan and V. V. Vazirani. Primal-dual RNC approximation algorithms for (multi)-set (multi)- cover and covering integer programs. In Proc. 1EEE Symposium on Foundations of Computer Science, pages 322-331, 1993.
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CITED BY
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Peter Auer , Philip M. Long , Aravind Srinivasan, Approximating hyper-rectangles: learning and pseudo-random sets, Proceedings of the twenty-ninth annual ACM symposium on Theory of computing, p.314-323, May 04-06, 1997, El Paso, Texas, United States
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