A guide to Monte Carlo simulations in statistical physics
著者
書誌事項
A guide to Monte Carlo simulations in statistical physics
Cambridge University Press, 2005
2nd ed
- : hard
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.
目次
- 1. Introduction
- 2. Some necessary background
- 3. Simple sampling Monte Carlo methods
- 4. Importance sampling Monte Carlo methods
- 5. More on importance sampling Monte Carlo method for lattice systems
- 6. Off-lattice models
- 7. Reweighting methods
- 8. Quantum Monte Carlo methods
- 9. Monte Carlo Renormalization Group methods
- 10. Non-equilibrium and irreversible processes
- 11. Lattice gauge models: a brief introduction
- 12. A brief review of other methods of computer simulation
- 13. Monte Carlo methods outside of physics
- 14. Outlook.
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