Monte Carlo Simulation in Statistical Physics: An Introduction (Graduate Texts in Physics)
Language: English
Published by Springer, 2010
Series: Book 40 of 65 - Springer Series in Solid-State Sciences
- Hardcover
- Used

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- Title
- Monte Carlo Simulation in Statistical Physics: An Introduction (Graduate Texts in Physics)
- Author
- Binder, Kurt, Heermann, Dieter W.
- Publisher
- Springer
- Publication year
- 2010
- Condition
- Like New
- Book Type
- book
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3642031625
- ISBN 13
- 9783642031625
- Edition
- 5th or later Edition
- Series
- Book 40 of 65: Springer Series in Solid-State Sciences
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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