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Monte Carlo Simulation in Statistical Physics [electronic resource] : An Introduction / by Kurt Binder, Dieter W. Heermann.

By: Binder, Kurt [author.].
Contributor(s): Heermann, Dieter W [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Graduate Texts in Physics: 0Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: XIV, 202 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642031632.Subject(s): Physics | Chemistry, Physical organic | Mathematical physics | Thermodynamics | Physics | Mathematical Methods in Physics | Condensed Matter Physics | Physical Chemistry | Statistical Physics, Dynamical Systems and Complexity | Numerical and Computational Physics | ThermodynamicsDDC classification: 530.15 Online resources: Click here to access online
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.
In: Springer eBooksSummary: 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.
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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.

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.

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