Kurt Binder, Dieter W. Heermann

Monte Carlo Simulation in Statistical Physics

An Introduction

• Gebundenes Buch

Produktbeschreibung

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, stock 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.

Produktdetails

• Graduate Texts in Physics
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 12660575, 978-3-642-03162-5
• 5. Aufl.
• Seitenzahl: 216
• Erscheinungstermin: 25. August 2010
• Englisch
• Abmessung: 241mm x 160mm x 17mm
• Gewicht: 494g
• ISBN-13: 9783642031625
• ISBN-10: 3642031625
• Artikelnr.: 26818260

Inhaltsangabe

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.

Rezensionen

"This will be an appropriate text for advanced graduate students, scientist and researchers who are interested in Monte Carlo methods in statistical mechanics." (Maria Christina Mariani, zbMATH 1428.82003, 2020)