An Introduction
Series: Graduate Texts in Physics
Binder, Kurt, Heermann, Dieter
Originally published as volume 80 in the series: Springer Series in Solid-State Sciences
5th ed. 2010, XIV, 202 p.
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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 methods and 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 awarded the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007.
Content Level » Graduate
Keywords » Computational algorithms - Computer simulation and modeling of many-body systems - Monte Carlo method - Sampling methods - Statistical Physics - Textbook on Monte Carlo Method - Textbook on statistical physics - linear optimization - simulation
Related subjects » Applications - Complexity - Materials - Physical Chemistry - Theoretical, Mathematical & Computational Physics - Theoretical Computer Science
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