Monte Carlo Simulation in Statistical Physics: An Introduction

Overview

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, sk market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methodsand gives a systematic ...

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Overview

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, sk market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methodsand gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. The fifth edition covers Classical as well as Quantum Monte Carlo methods. Furthermore a new chapter on the sampling of free energy landscapes has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007.

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Editorial Reviews

Booknews
Binder and Heermann deal with the computer simulation of thermodynamic properties of many-body condensed-matter systems using random number generators. Covers the theoretical background, performing simulation, and analysis of results. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9783642264467
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 10/13/2012
  • Series: Graduate Texts in Physics Series
  • Edition description: Softcover reprint of hardcover 5th ed. 2010
  • Edition number: 5
  • Pages: 202
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.46 (d)

Table of Contents

Introduction: Purpose and Scope of This Volume, and Some General Comments.- Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics.- Guide to Practical Work with the Monte Carlo Method.- Some Important Recent Developments of the Monte Carlo Methodology.- Quantum Monte Carlo Simulations: An Introduction.- Monte Carlo Methods for the Sampling of Free Energy Landscapes.

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