Ebook: Monte Carlo Simulation in Statistical Physics: An Introduction
- Genre: Mathematics // Computational Mathematics
- Tags: Mathematical Methods in Physics, Numerical and Computational Physics, Thermodynamics, Statistical Physics Dynamical Systems and Complexity, Condensed Matter Physics
- Series: Springer Series in Solid-State Sciences 80
- Year: 1988
- Publisher: Springer Berlin Heidelberg
- City: Berlin; New York
- Edition: 4th, enl. ed
- Language: English
- djvu
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. This fourth edition has been updated and a new chapter on Monte Carlo simulation of quantum-mechanical problems has been added.Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001.
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