Monte Carlo Simulation in Statistical Physics

An Introduction
Buch | Hardcover
XIV, 202 Seiten
2010 | 5th ed. 2010
Springer Berlin (Verlag)
978-3-642-03162-5 (ISBN)
69,54 inkl. MwSt
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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
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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