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Probabilistic Methods for Algorithmic Discrete
MathematicsAlgorithms and Combinatorics.
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Probabilistic Methods for Algorithmic
Discrete MathematicsAlgorithms and
Combinatorics
323
English
Michel Habib (Edited by), Colin
McDiarmid (Edited by), Jorge L. Ramirez
Alfonsin (Edited by), Bruce Reed (Edited
by)
Germany, 18 August 2010
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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.
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Probabilistic Methods for Algorithmic Discrete MathematicsAlgorithms and Combinatorics
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