A Guide to Monte Carlo Simulations in Statistical Physics

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Edition: 3rd
Format: Hardcover
Pub. Date: 2009-10-12
Publisher(s): Cambridge University Press
List Price: $112.34

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Summary

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.

Table of Contents

Preface
Introduction
Some necessary background
Simple sampling Monte Carlo methods
Importance sampling Monte Carlo methods
More on importance sampling Monte Carlo methods of lattice systems
Off-lattice models
Reweighting methods
Quantum Monte Carlo methods
Monte Carlo renormalization group 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
Outlook
Appendix
Index
Table of Contents provided by Publisher. All Rights Reserved.

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