Monte Carlo Simulation in Statistical Physics: An Introduction

✍ Scribed by Professor Dr. Kurt Binder, Professor Dr. Dieter W. Heermann (auth.)

• Publisher: Springer Berlin Heidelberg
• Year: 1997
• Tongue: English
• Leaves: 162
• Series: Springer Series in Solid-State Sciences 80
• Category: Library

✦ Synopsis

Monte Carlo Simulation in Statistical Physics deals with the computer simulation of thermodynamic properties of many-body condensed-matter systems that use random numbers generated by a computer in physics and chemistry. It describes the theoretical background of several variants of these Monte Carlo methods and gives a systematic course by which newcomers can learn to perform such simulations and to analyze their results. This third edition has been updated and a new chapter on some important recent developments of the Monte Carlo methodology was added.

✦ Table of Contents

Front Matter....Pages I-X
Introduction: Purpose and Scope of this Volume, and Some General Comments....Pages 1-4
Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics....Pages 5-67
Guide to Practical Work with the Monte Carlo Method....Pages 68-112
Some Important Recent Developments of the Monte Carlo Methodology....Pages 113-132
Back Matter....Pages 133-153

✦ Subjects

Mathematical Methods in Physics;Numerical and Computational Physics;Thermodynamics;Statistical Physics, Dynamical Systems and Complexity;Condensed Matter Physics;Physical Chemistry