Monte Carlo Simulation in Statistical Physics An Introduction /

• Main Authors: Binder, Kurt (Author, http://id.loc.gov/vocabulary/relators/aut), Heermann, Dieter W. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 6th ed. 2019.
• Series: Graduate Texts in Physics,
• Subjects: Statistical physics.; Dynamical systems.; Mathematical physics.; Physics.; Computer simulation.; Condensed matter.; Physical chemistry.; Complex Systems.; Mathematical Physics.; Numerical and Computational Physics, Simulation.; Simulation and Modeling.; Condensed Matter Physics.; Physical Chemistry.

The sixth edition of this highly successful textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, which deals with the computer simulation of many-body systems in condensed matter physics and related fields of physics and beyond (traffic flows, stock market fluc...

Table of Contents:

• 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 Developments of the Monte Carlo Methodology
• Quantum Monte Carlo Simulation: An Introduction
• Monte Carlo Methods for the Sampling of Free Energy Landscapes
• Special Monte Carlo Algorithms
• Finite Size Scaling Tools for the Study of Interfacial Phenomena and Wetting.