<電子ブック>
Discrete Probability and Algorithms / edited by David Aldous, Persi Diaconis, Joel Spencer, J. Michael Steele
(The IMA Volumes in Mathematics and its Applications. ISSN:21983224 ; 72)
版 | 1st ed. 1995. |
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出版者 | New York, NY : Springer New York : Imprint: Springer |
出版年 | 1995 |
本文言語 | 英語 |
大きさ | XVII, 158 p : online resource |
著者標目 | Aldous, David editor Diaconis, Persi editor Spencer, Joel editor Steele, J. Michael editor SpringerLink (Online service) |
件 名 | LCSH:Discrete mathematics LCSH:Probabilities LCSH:Statistics FREE:Discrete Mathematics FREE:Probability Theory FREE:Statistics |
一般注記 | On simulating a Markov chain stationary distribution when transition probabilities are unknown -- A note on network reliability -- Rectangular arrays with fixed margins -- Three examples of Monte-Carlo Markov chains: at the interface between statistical computing, computer science, and statistical mechanics -- The move-to-front rule for self-organizing lists with Markov dependent requests -- The asymptotic lower bound on the diagonal Ramsey numbers: A closer look -- Random walks and undirected graph connectivity: A survey -- Sidon sets with small gaps -- Variations on the monotone subsequence theme of Erd?s and Szekeres -- Randomised approximation schemes for Tutte-Gröthendieck invariants -- Quasi-additive Euclidean functionals Discrete probability theory and the theory of algorithms have become close partners over the last ten years, though the roots of this partnership go back much longer. The papers in this volume address the latest developments in this active field. They are from the IMA Workshops "Probability and Algorithms" and "The Finite Markov Chain Renaissance." They represent the current thinking of many of the world's leading experts in the field. Researchers and graduate students in probability, computer science, combinatorics, and optimization theory will all be interested in this collection of articles. The techniques developed and surveyed in this volume are still undergoing rapid development, and many of the articles of the collection offer an expositionally pleasant entree into a research area of growing importance HTTP:URL=https://doi.org/10.1007/978-1-4612-0801-3 |
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Springer eBooks | 9781461208013 |
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EB00229815 |
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