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.

Bibliographic Information

Book Title: Advances in Computer Simulation
Book Subtitle: Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996
Editors: János Kertész, Imre Kondor
Series Title: Lecture Notes in Physics
DOI: https://doi.org/10.1007/BFb0105456
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1998
Softcover ISBN: 978-3-662-14186-1Published: 03 October 2013
eBook ISBN: 978-3-540-69675-9Published: 06 May 2007
Series ISSN: 0075-8450
Series E-ISSN: 1616-6361
Edition Number: 1
Number of Pages: VIII, 168
Number of Illustrations: 35 b/w illustrations
Topics: Simulation and Modeling, Mathematical Methods in Physics, Numerical and Computational Physics, Simulation, Complex Systems, Atomic, Molecular, Optical and Plasma Physics, Statistical Physics and Dynamical Systems
Industry Sectors: Aerospace, IT & Software, Telecommunications

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Advances in Computer Simulation

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