Monte Carlo Methods in Statistical Physics by Newman

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Summary

This book provides an introduction to the use of Monte Carlo computer simulation methods suitable for beginning graduate students and beyond. It is intended to be a pedagogical book and could be used as a course text for physics or chemistry departments or for self-teaching.

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Monte Carlo Methods in Statistical Physics by Newman

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 programs demonstrating the applications of these techniques to a variety of well-known models.
SKU Unavailable
ISBN 13 9780198517979
ISBN 10 0198517971
Title Monte Carlo Methods in Statistical Physics
Author Newman
Condition Unavailable
Binding Type Paperback
Publisher Oxford University Press
Year published 1999-02-11
Number of pages 490
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.