Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics (16)) by Michel Habib (PDF)

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.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Not found.

⭐Not found.

Keywords

Free Download Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics (16)) in PDF format
Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics (16)) PDF Free Download
Download Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics (16)) 2010 PDF Free
Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics (16)) 2010 PDF Free Download
Download Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics (16)) PDF
Free Download Ebook Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics (16))