Free Delivery Over $100
|
|
|||
|
||||
OverviewComputer 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. Full Product DetailsAuthor: Janos Kertesz , Imre KondorPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: Softcover reprint of the original 1st ed. 1998 Volume: 501 Dimensions: Width: 15.50cm , Height: 0.90cm , Length: 23.50cm Weight: 0.284kg ISBN: 9783662141861ISBN 10: 3662141868 Pages: 168 Publication Date: 03 October 2013 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contentsto 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
