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
Probabilistic methods for algorithmic discrete mathematics
β Scribed by Michel Habib, Colin McDiarmid, Jorge Ramirez-Alfonsin, Bruce Reed
- Book ID
- 127425290
- Publisher
- Springer
- Year
- 1998
- Tongue
- English
- Weight
- 4 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 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 many carefully worked out examples ofthe probabilistic analysis of combinatorial algorithms; a discussionof the "exact simulation" algorithm (in the context of Markov ChainMonte Carlo Methods); a general method for finding asymptoticallyoptimal or near optimal graph colouring, showing how theprobabilistic method may be fine-tuned to exploit the structure ofthe underlying graph; a succinct treatment of randomized algorithmsand derandomization techniques.
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