Binder / Heermann Monte Carlo Simulation in Statistical Physics

An Introduction
Third Auflage 1997
ISBN: 978-3-662-03336-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 153 Seiten, Web PDF

Reihe: Springer Series in Solid-State Sciences

The last ten years have seen an explosive growth in the computer power available to scientists. Simulations that needed access to big mainframe com puters in the past are now feasible on the workstation or powerful personal computer available on everybody's desk. This ease with which physicists (and scientists in neighboring areas such as chemistry, biology, economic science) can carry out simulations of their own, has caused a true scientific revolution, and thus simulational approaches are extremely widespread. However, teaching simulation methods in physics is still a somewhat neglected field at many universities. Although there is plenty of literat ure describing advanced applications (the old dream of predicting materials prop erties from known interactions between atoms or molecules is now a reality in many cases!), there is still a lack of textbooks from which the interested student can leam the technique of Monte Carlo simulations and their proper analysis step by step. Thus, the present book still fulfills a need and continues to be useful for students who wish to bridge gaps in their university education on a "do it-yourself" basis and for university staff who can use it for courses. Also researchers in academia and industry who have recognized the need to catch up with these important developments will find this book invaluable.

Zielgruppe

Research

Autoren/Hrsg.

Binder, Kurt

Heermann, Dieter W.

Inhaltsverzeichnis

1. Introduction: Purpose and Scope of This Volume, and Some General Comments.- 2. Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics.- 3. Guide to Practical Work with the Monte Carlo Method.- 4. Some Important Recent Developments of the Monte Carlo Methodology.- References.