A Guide to Monte Carlo Simulations in Statistical Physics

by David P. Landau , Kurt Binder

• ISBN13: 9780521768481
• ISBN10: 0521768489
• Edition: 3rd
• Format: Hardcover
• Copyright: 2009-10-12
• Publisher: Cambridge University Press

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.