Ebook: Monte Carlo Simulation in Statistical Physics: An Introduction
- Tags: Mathematical Methods in Physics, Condensed Matter Physics, Physical Chemistry, Statistical Physics Dynamical Systems and Complexity, Numerical and Computational Physics, Thermodynamics
- Series: Graduate Texts in Physics 0
- Year: 2010
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 5
- Language: English
- pdf
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.
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.
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:
Front Matter....Pages i-xiv
Introduction: Purpose and Scope of This Volume, and Some General Comments....Pages 1-4
Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics....Pages 5-67
Guide to Practical Work with the Monte Carlo Method....Pages 69-110
Some Important Recent Developments of the Monte Carlo Methodology....Pages 111-130
Quantum Monte Carlo Simulations: An Introduction....Pages 131-152
Monte Carlo Methods for the Sampling of Free Energy Landscapes....Pages 153-174
Back Matter....Pages 175-200
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:
Front Matter....Pages i-xiv
Introduction: Purpose and Scope of This Volume, and Some General Comments....Pages 1-4
Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics....Pages 5-67
Guide to Practical Work with the Monte Carlo Method....Pages 69-110
Some Important Recent Developments of the Monte Carlo Methodology....Pages 111-130
Quantum Monte Carlo Simulations: An Introduction....Pages 131-152
Monte Carlo Methods for the Sampling of Free Energy Landscapes....Pages 153-174
Back Matter....Pages 175-200
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