Probabilistic Methods for Algorithmic Discrete Mathematics (repost)

Description for Probabilistic Methods for Algorithmic Discrete Mathematics repost

Michel Habib, Colin McDiarmid (Editor), Jorge Ramirez-Alfonsin (Editor), Bruce Reed, "Probabilistic Methods for Algorithmic Discrete Mathematics"
Chapman | 2002 | ISBN: 3540646221 | 323 pages | Djvu | 4,1 MB
The book gives an accessible account of modern probabilistic methods for analyzing combinatorial structures and algorithms. It will be an useful guide for graduate students and researchers.
Special features included: a simple treatment of Talagrand's inequalities and their applications; an overview and many carefully worked out examples of the probabilistic analysis of combinatorial algorithms; a discussion of the "exact simulation" algorithm (in the context of Markov Chain Monte Carlo Methods); a general method for finding asymptotically optimal or near optimal graph colouring, showing how the probabilistic method may be fine-tuned to exploit the structure of the underlying graph; a succinct treatment of randomized algorithms and derandomization techniques.


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