04081nam 22007335 450 99646672210331620200701123929.03-540-69675-X10.1007/BFb0105456(CKB)1000000000548777(SSID)ssj0000320891(PQKBManifestationID)12068033(PQKBTitleCode)TC0000320891(PQKBWorkID)10263510(PQKB)11450700(DE-He213)978-3-540-69675-9(PPN)155192868(EXLCZ)99100000000054877720121227d1998 u| 0engurnn|008mamaatxtccrAdvances in Computer Simulation[electronic resource] Lectures Held at the Eötvös Summer School in Budapest, Hungary, 16–20 July 1996 /edited by Janos Kertesz, Imre Kondor1st ed. 1998.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,1998.1 online resource (VIII, 168 p. 35 illus.) Lecture Notes in Physics,0075-8450 ;501Bibliographic Level Mode of Issuance: Monograph3-540-63942-X 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.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.Lecture Notes in Physics,0075-8450 ;501Computer simulationPhysicsStatistical physicsDynamical systemsAtomsSimulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Mathematical Methods in Physicshttps://scigraph.springernature.com/ontologies/product-market-codes/P19013Numerical and Computational Physics, Simulationhttps://scigraph.springernature.com/ontologies/product-market-codes/P19021Complex Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/P33000Atomic, Molecular, Optical and Plasma Physicshttps://scigraph.springernature.com/ontologies/product-market-codes/P24009Statistical Physics and Dynamical Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/P19090Computer 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.530/.01/13Kertesz Janosedthttp://id.loc.gov/vocabulary/relators/edtKondor Imreedthttp://id.loc.gov/vocabulary/relators/edtEèotvèos Summer SchoolBOOK996466722103316Advances in computer simulation1502088UNISA