Advances in Computer Simulation - Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16-20 July 1996

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.

List of contents

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.

Product details

• Assisted by: Jano Kertesz (Editor), Janos Kertesz (Editor), Kondor (Editor), Kondor (Editor), Imre Kondor (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 16.10.2013
• EAN: 9783662141861
• ISBN: 978-3-662-14186-1
• No. of pages: 168
• Dimensions: 158 mm x 10 mm x 235 mm
• Weight: 305 g
• Illustrations: VIII, 168 p. 35 illus.
• Series: Lecture Notes in Physics; Lecture Notes in Physics
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software