This book describes all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, as well as in related fields, such as polymer science and lattice gauge theory. The authors give a succinct overview of simple sampling methods and
A Guide to Monte Carlo Simulations in Statistical Physics
✍ Scribed by David P. Landau, Kurt Binder
- Book ID
- 127423689
- Publisher
- Cambridge University Press
- Year
- 2005
- Tongue
- English
- Weight
- 3 MB
- Edition
- 2nd ed
- Category
- Library
- City
- Cambridge; New York
- ISBN
- 0511130988
No coin nor oath required. For personal study only.
✦ Synopsis
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.
✦ Subjects
Матметоды и моделирование в физике
📜 SIMILAR VOLUMES
Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distrib