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, 2021
5th ed
- : hardback
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注記
Previous ed.: 2015
Includes bibliographical references and index
内容説明・目次
内容説明
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. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book 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.
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 Methods 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 Simulations at the Periphery of Physics and Beyond
- 14. Monte Carlo Studies of Biological Molecules
- 15. Emerging Trends
- Index.
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