Probabilistic methods for algorithmic discrete mathematics
Book information
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.
Similar books
Probabilistic methods for algorithmic discrete mathematics
1998 · PDF
Probabilistic methods for algorithmic discrete mathematics
1998 · DJVU
Probabilistic Methods for Algorithmic Discrete Mathematics
1998 · PDF
Probabilistic Methods for Algorithmic Discrete Mathematics
1998 · DJVU
Manhattan Project: The Story Of The Century
2020 · PDF
Random Graphs, Geometry and Asymptotic Structure
2016 · DJVU
Graph Colouring and the Probabilistic Method
2001 · PDF
Graph-Theoretic Concepts in Computer Science: 35th International Workshop, WG 2009, Montpellier, France, June 24-26, 2009, Revised Papers
2010 · PDF