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Titlebook: Russian Contributions to Game Theory and Equilibrium Theory; Theo S. H. Driessen,Gerard Laan,Elena B. Yanovskay Book 2006 Springer-Verlag

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書目名稱Russian Contributions to Game Theory and Equilibrium Theory
編輯Theo S. H. Driessen,Gerard Laan,Elena B. Yanovskay
視頻videohttp://file.papertrans.cn/833/832282/832282.mp4
概述Classical Russian literature on Game Theory, up to now only published in Russian language.Fills the informational gap in game-theoretic results obtained in the former Soviet Union between 1968 and 198
叢書名稱Theory and Decision Library C
圖書封面Titlebook: Russian Contributions to Game Theory and Equilibrium Theory;  Theo S. H. Driessen,Gerard Laan,Elena B. Yanovskay Book 2006 Springer-Verlag
描述V.A. Vasil’ev and E.B. Yanovskaya 1 Game theory in the USSR before 1990 In this introductory chapter ?rst a short historical information about the development of game theory in the USSR before the 1990s is given. It should help to understand the choice of the papers in this volume. The development of game theory in the USSR began in the early sixties. N.N.Vorob’ev (1925- 1995) was the author of the ?rst papers about game theory in Russian; he was also the leader of a group of PhD students and young researchers at Leningrad who studied this new ?eldinmathematics. The early papers by Vorob’ev on enumerating equilibrium points in - matrix games ([74]), coalitional games where a player may belong to di erent coalitions ([77] and [78]) and equivalence of di erent types of strategies in games in extensive form ([75] and [76]), were published in Soviet journals having English translations, and so they became known in the West. Later on, game theory in the USSR exhibited signi?cant progress, which deserved world-wide attention. However, many game-theoretic papers were published in Soviet journals and edited volumes which have never been translated into English. In the 1960s, the theory of
出版日期Book 2006
關(guān)鍵詞Bargaining Problem; Cooperative Game; Noncooperative Game; bargaining; cooperative games; equilibrium; gam
版次1
doihttps://doi.org/10.1007/3-540-32061-X
isbn_softcover978-3-642-06847-8
isbn_ebook978-3-540-32061-6Series ISSN 0924-6126 Series E-ISSN 2194-3044
issn_series 0924-6126
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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E. B. Yanovskayap columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assu
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V. Lapitskyp columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assu
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p columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assu
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ability. Chapters also emphasize applications to Data Science, a timely field with a high impact in our modern society. The discussion presents modern, state-of-the-art, research results and advances in areas including non-convex optimization, decentralized distributed convex optimization, topics on
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