Monte Carlo Methods in Statistical Physics

Автор: M.E.J. Newman, G.T. Barkema

Език:

Корици: С меки корици

Издател: Oxford University Press

Наличност: Налично при издателя, по поръчка

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This book provides an introduction to Monte Carlo simulations in classical statistical physics and i...

Информация за книгата

Автор

M.E.J. Newman, G.T. Barkema

Език

Английски език

Корици

Книга - С меки корици

Издадена

1999

страници

490

EAN

9780198517979

ISBN

0198517971

Enbook ID

04527092

Издател

Oxford University Press

Теглоt

850

Размери

160 x 234 x 25

Пълно описание

This book provides an introduction to Monte Carlo simulations in classical statistical physics and is aimed both at students beginning work in the field and at more experienced researchers who wish to learn more about Monte Carlo methods. The material covered includes methods for both equilibrium and out of equilibrium systems, and common algorithms like the Metropolis and heat-bath algorithms are discussed in detail, as well as more sophisticated ones such as continuous time Monte Carlo, cluster algorithms, multigrid methods, entropic sampling and simulated tempering. Data analysis techniques are also explained starting with straightforward measurement and error-estimation techniques and progressing to topics such as the single and multiple histogram methods and finite size scaling. The last few chapters of the book are devoted to implementation issues, including discussions of such topics as lattice representations, efficient implementation of data structures, multispin coding, parallelization of Monte Carlo algorithms, and random number generation. At the end of the book the authors give a number of example programmes demonstrating the applications of these techniques to a variety of well-known models.

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Monte Carlo Methods in Statistical Physics

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