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Synopsis
An excellent 2005 introduction to the probabilistic techniques and paradigms used in the development of probabilistic algorithms and analyses.
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About the Authors
Michael Miztenmacher is a John L. Loeb Associate Professor in Computer Science at Harvard University. Having written nearly 100 articles on a variety of topics in computer science, his research focuses on randomized algorithms and networks. He has received an NSF CAREER Award and an Alfred P. Sloan Research Fellowship. In 2002, he shared the IEEE Information Theory Society Best Paper Award for his work on error-correcting codes.
Eli Upfal is Professor and Chair of Computer Science at Brown University. He has published more than 100 papers in refereed journals and professional conferences, and is the inventor of more than ten patents. His main research interests are randomized computation and probabilistic analysis of algorithms, with applications to optimization algorithms, communication networks, parallel and distributed computing and computational biology.
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Probability and Computing: Randomized Algorithms and Probabilistic Analysis
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ISBN 10: 0521835402
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Probability and Computing: Randomized Algorithms and Probabilistic Analysis
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Cambridge University Press, 2005
ISBN 10: 0521835402
ISBN 13: 9780521835404
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Probability and Computing: Randomized Algorithms and Probabilistic Analysis
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ISBN 10: 0521835402
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Probability and Computing: Randomized Algorithms and Probabilistic Analysis
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Probability and Computing: Randomized Algorithms and Probabilistic Analysis
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Probability and Computing (Randomized Algorithms and Probabilistic Analysis)
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ISBN 10: 0521835402
ISBN 13: 9780521835404
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