Monte Carlo simulation in statistical physics : an introduction /
The Monte Carlo method is a computer simulation method which uses random numbers to simulate statistical fluctuations. The method is used to model complex systems with many degrees of freedom. Probability distributions for these systems are generated numerically and the method then yields numericall...
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer-Verlag,
[1992]
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| Edition: | 2nd corr. ed. |
| Series: | Springer series in solid-state sciences ;
80. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | The Monte Carlo method is a computer simulation method which uses random numbers to simulate statistical fluctuations. The method is used to model complex systems with many degrees of freedom. Probability distributions for these systems are generated numerically and the method then yields numerically exact information on the models. Such simulations may be used tosee how well a model system approximates a real one or to see how valid the assumptions are in an analyical theory. A short and systematic theoretical introduction to the method forms the first part of this book. The second part is a practical guide with plenty of examples and exercises for the student. Problems treated by simple sampling (random and self-avoiding walks, percolation clusters, etc.) are included, along with such topics as finite-size effects and guidelines for the analysis of Monte Carlo simulations. The two parts together provide an excellent introduction to the theory and practice of Monte Carlo simulations. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (viii, 129 pages) : illustrations |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliography: | Includes bibliographical references (pages 119-126) and index. |
| ISBN: | 9783662302736 (electronic bk.) 366230273X (electronic bk.) |