concentration measure analysis randomized von dubhashi devdatt (37 Ergebnisse)

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Paperback. Zustand: New. 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.

Paperback. Zustand: new. Paperback. 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 ChernoffHoeffding 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 ChernoffHoeffding 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. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Zustand: Very Good. Bookplate, otherwise text clean and tight; no dust jacket; 8.90 X 6.10 X 0.90 inches; 214 pages.

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Zustand: New. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms. Num Pages: 214 pages, 12 b/w illus. 168 exercises. BIC Classification: PBD; PBT; UMB. Category: (P) Professional & Vocational. Dimension: 227 x 153 x 13. Weight in Grams: 32. . 2012. Illustrated. paperback. . . . .

Paperback. Zustand: Brand New. 216 pages. 8.90x5.90x0.70 inches. In Stock.

Zustand: New. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms. Num Pages: 214 pages, 12 b/w illus. 168 exercises. BIC Classification: PBD; PBT; UMB. Category: (P) Professional & Vocational. Dimension: 227 x 153 x 13. Weight in Grams: 32. . 2012. Illustrated. paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Concentration of Measure for the Analysis of Randomized Algorithms | Devdatt P. Dubhashi (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2012 | Cambridge University Press | EAN 9781107606609 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware - 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.

Paperback. Zustand: New. 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.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Neuware -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. 214 pp. Englisch.

Zustand: New. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms. Num Pages: 214 pages, 12 b/w illus. 168 exercises. BIC Classification: UYA. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 21. Weight in Grams: 458. . 2009. 1st Edition. hardcover. . . . .

Hardcover. Zustand: Brand New. 1st edition. 248 pages. 8.90x6.10x0.90 inches. In Stock.

Zustand: New. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms. Num Pages: 214 pages, 12 b/w illus. 168 exercises. BIC Classification: UYA. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 21. Weight in Grams: 458. . 2009. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Zustand: New. pp. xiv + 196.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Paperback. Zustand: Brand New. 216 pages. 8.90x5.90x0.70 inches. In Stock. This item is printed on demand.

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 360.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms.&Uumlber den AutorDevdatt P. Dubhashi is Professor in the Department of Computer Scie.