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Physics - Theoretical, Mathematical & Computational Physics | Monte Carlo Simulation in Statistical Physics - An Introduction

Monte Carlo Simulation in Statistical Physics

An Introduction

Binder, Kurt, Heermann, Dieter

3rd ed. 1997, X, 153 p.


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  • About this textbook

  • The Monte Carlo method is used to model complex systems with many degrees of freedom. The authors provide an excellent introduction to the theory and practice of this method utilized in physics and chemistry, with many exercises and examples.
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.

Content Level » Research

Keywords » Monte Carlo method - percolation - phase transitions - random walks - statistical physics - statistical thermodynamics

Related subjects » Classical Continuum Physics - Complexity - Materials - Physical Chemistry - Theoretical, Mathematical & Computational Physics

Table of contents 

1. Introduction: Purpose and Scope of This Volume, and Some General Comments.- 2. Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics.- 3. Guide to Practical Work with the Monte Carlo Method.- 4. Some Important Recent Developments of the Monte Carlo Methodology.- References.

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