Probabilistic Methods for Algorithmic Discrete Mathematics

Publisher: Springer
Number Of Pages: 323
Publication Date: 1998-09-18
Sales Rank: 1493689
ISBN / ASIN: 3540646221
EAN: 9783540646228
Binding: Hardcover
Manufacturer: Springer
Studio: Springer
Book Description:

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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