Monte Carlo Simulation in Statistical Physics
Springer Berlin (Verlag)
978-3-642-03162-5 (ISBN)
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.
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.
Erscheint lt. Verlag | 25.8.2010 |
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Reihe/Serie | Graduate Texts in Physics |
Zusatzinfo | XIV, 202 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 1 x 1 mm |
Gewicht | 498 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Naturwissenschaften ► Physik / Astronomie ► Allgemeines / Lexika | |
Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik | |
Naturwissenschaften ► Physik / Astronomie ► Thermodynamik | |
Schlagworte | Computational Algorithms • Computersimulation • Computer simulation and modeling of many-body systems • linear optimization • Monte Carlo Method • Monte-Carlo-Methode • Sampling methods • Simulation • Statistical Physics • Statistische Physik • Textbook on Monte Carlo Method • Textbook on statistical physics |
ISBN-10 | 3-642-03162-5 / 3642031625 |
ISBN-13 | 978-3-642-03162-5 / 9783642031625 |
Zustand | Neuware |
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