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A guide to Monte Carlo simulations in statistical physics /
Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. This edition now contains material describing powerful new algorithms that have app...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press,
2009.
|
| Edición: | 3rd ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Landau, David P. | |
| 245 | 1 | 2 | |a A guide to Monte Carlo simulations in statistical physics / |c David P. Landau, Kurt Binder. |
| 246 | 3 | 0 | |a Monte Carlo simulations in statistical physics |
| 250 | |a 3rd ed. | ||
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2009. | ||
| 300 | |a 1 online resource (xv, 471 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Some necessary background -- Simple sampling Monte Carlo methods -- Importance sampling Monte Carlo methods -- More on importance sampling Monte Carlo methods for lattice systems -- Off-lattice models -- Reweighting methods -- Quantum Monte Carlo methods -- Non-equilibrium and irreversible processes -- Lattice gauge models : a brief introduction -- A brief review of other methods of computer simulation -- Monte Carlo simulations at the periphery of physics and beyond -- Monte Carlo studies of biological molecules. | |
| 588 | 0 | |a Print version record. | |
| 520 | |a Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. This edition now contains material describing powerful new algorithms that have appeared since the previous edition was published, and highlights recent technical advances and key applications that these algorithms now make possible. Updates also include several new sections and a chapter on the use of Monte Carlo simulations of biological molecules. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Monte Carlo method. | |
| 650 | 0 | |a Statistical physics. | |
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| 650 | 6 | |a Méthode de Monte-Carlo. | |
| 650 | 6 | |a Physique statistique. | |
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| 650 | 7 | |a Monte Carlo method |2 fast | |
| 650 | 7 | |a Statistical physics |2 fast | |
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| 650 | 7 | |a Statistische Physik |2 gnd | |
| 700 | 1 | |a Binder, K. |q (Kurt), |d 1944- | |
| 776 | 0 | 8 | |i Print version: |a Landau, David P. |t Guide to Monte Carlo simulations in statistical physics. |b 3rd ed. |d Cambridge ; New York : Cambridge University Press, 2009 |z 9780521768481 |w (DLC) 2010285006 |w (OCoLC)500243508 |
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