Concentration Measure Analysis Randomized by Dubhashi Devdatt (35 results)
- Hardcover
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- Softcover
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Condition: 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 Gr…ams: 32. . 2012. Illustrated. paperback. . . . .
- Softcover
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- Softcover
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- Softcover
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Condition: New. pp. 214.
- Hardcover
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- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condition: 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 Gr…ams: 32. . 2012. Illustrated. paperback. . . . . Books ship from the US and Ireland.
- Softcover
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Paperback. Condition: Brand New. 216 pages. 8.90x5.90x0.70 inches. In Stock.
- Softcover
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Taschenbuch. Condition: 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 pro…bability 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.
- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
- First Edition
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: 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. . . . .
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- First Edition
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Hardback. Condition: New. 1st. 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.
- Hardcover
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Condition: New. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms.Randomized algorithms have become a central part of the algorithms curriculum, based on their increasi.
- Hardcover
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Condition: New. pp. xiv + 196.
- Hardcover
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Hardcover. Condition: Brand New. 1st edition. 248 pages. 8.90x6.10x0.90 inches. In Stock.
- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condition: 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.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: 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 probabilit…y 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.
- Hardcover
- First Edition
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Hardback. Condition: New. 1st. 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.
- Hardcover
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Softcover
- Print on Demand
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
- Softcover
- Print on Demand
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Condition: New. Print on Demand pp. 214 12 Illus.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 214.
- Softcover
- Print on Demand
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Paperback. Condition: 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 ran…domized 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
