Get Algorithms for Random Generation and Counting: A Markov PDF

By A. Sinclair

ISBN-10: 1461267072

ISBN-13: 9781461267072

This monograph is a marginally revised model of my PhD thesis [86], com­ pleted within the division of computing device technological know-how on the college of Edin­ burgh in June 1988, with an extra bankruptcy summarising newer advancements. the various fabric has seemed within the kind of papers [50,88]. The underlying subject of the monograph is the examine of 2 classical difficulties: counting the weather of a finite set of combinatorial constructions, and producing them uniformly at random. of their detailed shape, those prob­ lems seem to be intractable for plenty of vital constructions, so curiosity has inquisitive about discovering effective randomised algorithms that clear up them ap­ proxim~ly, with a small chance of mistakes. for many traditional buildings the 2 difficulties are in detail hooked up at this point of approximation, so it's average to check them jointly. on the middle of the monograph is a unmarried algorithmic paradigm: sim­ ulate a Markov chain whose states are combinatorial constructions and which converges to a recognized chance distribution over them. this system has purposes not just in combinatorial counting and iteration, but in addition in numerous different components akin to statistical physics and combinatorial optimi­ sation. The potency of the procedure in any software relies crucially at the price of convergence of the Markov chain.

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Algorithms for Random Generation and Counting: A Markov Chain Approach (Progress in Theoretical Computer Science) by A. Sinclair

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