Concentration of Measure for the Analysis of Randomized Algorithms.

A coherent and unified account of techniques for analyzing the performance of randomized algorithms.

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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Dubhashi, Devdatt
Other Authors: Panconesi, Alessandro
Format: eBook
Language:English
Published: Leiden : Cambridge University Press, 2009.
Subjects:

MARC

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245 1 0 |a Concentration of Measure for the Analysis of Randomized Algorithms. 
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505 0 |a Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; 1 Chernoff-Hoeffding Bounds; 2 Applications of the Chernoff-Hoeffding Bounds; 3 Chernoff-Hoeffding Bounds in Dependent Settings; 4 Interlude: Probabilistic Recurrences; 5 Martingales and the Method of Bounded Differences; 6 The Simple Method of Bounded Differences in Action; 7 The Method of Averaged Bounded Differences; 8 The Method of Bounded Variances; 9 Interlude: The Infamous Upper Tail; 10 Isoperimetric Inequalities and Concentration; 11 Talagrand's Isoperimetric Inequality. 
505 8 |a 12 Isoperimetric Inequalities and Concentration via Transportation Cost Inequalities13 Quadratic Transportation Cost and Talagrand's Inequality; 14 Log-Sobolev Inequalities and Concentration; Appendix A Summary of the Most Useful Bounds; Bibliography; Index. 
520 |a A coherent and unified account of techniques for analyzing the performance of randomized algorithms. 
588 0 |a Print version record. 
650 0 |a Algorithms. 
650 0 |a Distribution (Probability theory) 
650 0 |a Limit theorems (Probability theory) 
650 0 |a Random variables. 
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