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Improved algorithms via approximations of probability distributions (extended abstract)
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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: 584 - 592  
Year of Publication: 1994
ISBN:0-89791-663-8
Authors
Suresh Chari  Dept. of Computer Science, Cornell University, Ithaca NY
Pankaj Rohatgi  Thompson Consumer Electronics, Los Angeles, CA
Aravind Srinivasan  DIMACS Center, Rutgers University, Piscataway, NJ, and School of Mathematics, The Institute for Advanced Study, Princeton, NJ
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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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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Y. Azar, R. Motwani, and J. Naor. Approximating arbitrary probability distributions using small sample spaces. Manuscript, 1990.
 
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N. Nisan, E. Szemer6di, and A. Wigderson. Undirected connectivity in O(log1'# n) space. In Proc. IEEE Symposium on Foundations of Computer Science, pages 24-29, 1992.
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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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J. Spencer. Ten Lectures on the Probabilistic Method. SIAM, Philadelphia, 1987.


Collaborative Colleagues:
Suresh Chari: colleagues
Pankaj Rohatgi: colleagues
Aravind Srinivasan: colleagues