Advances in Computer Simulation

Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16¿20 July 1996
Softcover Nachdruck of the original 1. Auflage 1998
ISBN: 978-3-662-14186-1
Verlag: Springer

Buch, Englisch, Band 501, 168 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 283 g

Reihe: Lecture Notes in Physics

Computer simulation has become a basic tool in many branches of physics such as statistical physics, particle physics, or materials science. The application of efficient algorithms is at least as important as good hardware in large-scale computation. This volume contains didactic lectures on such techniques based on physical insight. The emphasis is on Monte Carlo methods (introduction, cluster algorithms, reweighting and multihistogram techniques, umbrella sampling), efficient data analysis and optimization methods, but aspects of supercomputing, the solution of stochastic differential equations, and molecular dynamics are also discussed. The book addresses graduate students and researchers in theoretical and computational physics.

Zielgruppe

Research

Autoren/Hrsg.

Kondor, Imre

Kertesz, Janos

Fachgebiete

• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Naturwissenschaften Physik Quantenphysik Atom- und Molekülphysik
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme

Inhaltsverzeichnis

to Monte Carlo algorithms.- Cluster algorithms.- Optimized monte carlo methods.- Monte Carlo on parallel and vector computers.- Error estimates on averages of correlated data.- Stochastic differential equations.- Frustrated systems: Ground state properties via combinatorial optimization.- Molecular dynamics.