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Concentration of Measure for the Analysis of Randomized Algorithms 2024 pdf epub mobi 電子書下載

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Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the Chernoff-Hoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as Chernoff-Hoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making the book accessible to computer scientists as well as probabilists and discrete mathematicians.

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Concentration of Measure for the Analysis of Randomized Algorithms 2024 pdf epub mobi 電子書下載

Concentration of Measure for the Analysis of Randomized Algorithms 2024 pdf epub mobi 電子書下載

Concentration of Measure for the Analysis of Randomized Algorithms 2024 pdf epub mobi 電子書下載

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出版者:Cambridge University Press

作者:Devdatt P. Dubhashi

出品人:

頁數:214

譯者:

出版時間:2009-6-15

價格:GBP 93.00

裝幀:Hardcover

isbn號碼:9780521884273

叢書系列:

圖書標籤: 算法數學隨機算法的應用概率 concentration_inequality Math CS

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