The book gives an accessible account of modern probabilistic methodsfor analyzing combinatorial structures and algorithms. It will be anuseful guide for graduate students and researchers. Special featuresincluded: a simple treatment of Talagrand's inequalities and theirapplications; an overview and
Probabilistic methods for algorithmic discrete mathematics
β Scribed by Michel Habib, Colin McDiarmid, Jorge Ramirez-Alfonsin, Bruce Reed
- Book ID
- 127425181
- Publisher
- Springer
- Year
- 1998
- Tongue
- English
- Weight
- 2 MB
- Series
- Algorithms and Combinatorics
- Edition
- 1
- Category
- Library
- ISBN
- 3540646221
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
π SIMILAR VOLUMES
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This is a presentation of some complex problems of discrete mathematics in a simple and unified form using an original, general combinatorial scheme. The author's aim is not always to present the most general results, but rather to focus attention on ones that illustrate the methods described. A dis