Probabilistic Methods for Algorithmic Discrete Mathematics:
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Bibliographische Detailangaben
1. Verfasser: Habib, Michel (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Berlin, Heidelberg Springer Berlin Heidelberg 1998
Schriftenreihe:Algorithms and Combinatorics 16
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Beschreibung:The book gives an accessible account of modern pro- babilistic methods for analyzing combinatorial structures and algorithms. Each topic is approached in a didactic manner but the most recent developments are linked to the basic ma- terial. Extensive lists of references and a detailed index will make this a useful guide for graduate students and researchers. Special features included: - a simple treatment of Talagrand 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 explit the structure of the underlying graph - a succinct treatment of randomized algorithms and derandomization techniques
Beschreibung:1 Online-Ressource (XVII, 325 p)
ISBN:9783662127889
9783642084263
ISSN:0937-5511
DOI:10.1007/978-3-662-12788-9

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