1.

Record Nr.

UNINA9910257407003321

Titolo

Advances in Computer Simulation [[electronic resource] ] : Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996 / / edited by Janos Kertesz, Imre Kondor

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998

ISBN

3-540-69675-X

Edizione

[1st ed. 1998.]

Descrizione fisica

1 online resource (VIII, 168 p. 35 illus.)

Collana

Lecture Notes in Physics, , 0075-8450 ; ; 501

Disciplina

530/.01/13

Soggetti

Computer simulation

Physics

Statistical physics

Dynamical systems

Atoms

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

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

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.

Sommario/riassunto

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.