Read Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics, 16)

Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics, 16)

Maki K. Habib

4.9/5 (23607 ratings)

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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics, 16). To get started finding Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics, 16), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 3540646221

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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics, 16). To get started finding Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics, 16), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics, 16)

Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics, 16)

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