Monte Carlo Methods in Statistical Physics
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Uitgever: Oxford University Press
Auteur:
M. E. J. Newman
G. T. Barkema
Co-auteur:
M. E. J. Newman
- Engels
- Paperback
- 9780198517979
- 11 februari 1999
- 475 pagina's
Samenvatting
This book provides an introduction to the use of Monte Carlo computer simulation methods suitable for beginning graduate students and beyond. It is suitable for a course text for physics or chemistry departments or for self-teaching.
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.
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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- Bindwijze
- Paperback
- Oorspronkelijke releasedatum
- 11 februari 1999
- Aantal pagina's
- 475
- Illustraties
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- Hoofdauteur
- M. E. J. Newman
- Tweede Auteur
- G. T. Barkema
- Co Auteur
- M. E. J. Newman
- Hoofduitgeverij
- Oxford University Press
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- illustrated edition
- Extra groot lettertype
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- 156 mm
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- 24 mm
- Product lengte
- 235 mm
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- 150 mm
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- 25 mm
- Verpakking lengte
- 230 mm
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- 926 g
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- EAN
- 9780198517979
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