Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics)

Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics)
by: Michel Habib, Colin McDiarmid, Jorge Ramirez-Alfonsin, Bruce Reed
1st Edition. edition (December 7, 2010) | ISBN: 3642084265 | 538 pages | File type: PDF | 10 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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