Algorithms for Random Generation and Counting: A Markov Chain Approach

Name: Algorithms for Random Generation and Counting: A Markov Chain Approach
Brand: Springer, Berlin
SKU: 9781461267072
Price: 2286 CZK
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Autor: A. Sinclair

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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2 286 Kč

This monograph is a slightly revised version of my PhD thesis [86], com pleted in the Department of...

Informace o knize

Autor

A. Sinclair

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2013

Stránek

147

EAN

9781461267072

ISBN

1461267072

Enbook ID

06794879

Vydavatel

Springer, Berlin

Hmotnost

254

Rozměry

155 x 235 x 8

Kompletní popis

This monograph is a slightly revised version of my PhD thesis [86], com pleted in the Department of Computer Science at the University of Edin burgh in June 1988, with an additional chapter summarising more recent developments. Some of the material has appeared in the form of papers [50,88]. The underlying theme of the monograph is the study of two classical problems: counting the elements of a finite set of combinatorial structures, and generating them uniformly at random. In their exact form, these prob lems appear to be intractable for many important structures, so interest has focused on finding efficient randomised algorithms that solve them ap proxim~ly, with a small probability of error. For most natural structures the two problems are intimately connected at this level of approximation, so it is natural to study them together. At the heart of the monograph is a single algorithmic paradigm: sim ulate a Markov chain whose states are combinatorial structures and which converges to a known probability distribution over them. This technique has applications not only in combinatorial counting and generation, but also in several other areas such as statistical physics and combinatorial optimi sation. The efficiency of the technique in any application depends crucially on the rate of convergence of the Markov chain.

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