LEADER 04083nam 22007335 450 001 9910257407003321 005 20200701123929.0 010 $a3-540-69675-X 024 7 $a10.1007/BFb0105456 035 $a(CKB)1000000000548777 035 $a(SSID)ssj0000320891 035 $a(PQKBManifestationID)12068033 035 $a(PQKBTitleCode)TC0000320891 035 $a(PQKBWorkID)10263510 035 $a(PQKB)11450700 035 $a(DE-He213)978-3-540-69675-9 035 $a(PPN)155192868 035 $a(EXLCZ)991000000000548777 100 $a20121227d1998 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Computer Simulation$b[electronic resource] $eLectures Held at the Eötvös Summer School in Budapest, Hungary, 16?20 July 1996 /$fedited by Janos Kertesz, Imre Kondor 205 $a1st ed. 1998. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1998. 215 $a1 online resource (VIII, 168 p. 35 illus.) 225 1 $aLecture Notes in Physics,$x0075-8450 ;$v501 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-63942-X 327 $ato 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. 330 $aComputer simulation has become a basic tool in many branches of physics such as statistical physics, particle physics, or materials science. The application of efficient algorithms is at least as important as good hardware in large-scale computation. This volume contains didactic lectures on such techniques based on physical insight. The emphasis is on Monte Carlo methods (introduction, cluster algorithms, reweighting and multihistogram techniques, umbrella sampling), efficient data analysis and optimization methods, but aspects of supercomputing, the solution of stochastic differential equations, and molecular dynamics are also discussed. The book addresses graduate students and researchers in theoretical and computational physics. 410 0$aLecture Notes in Physics,$x0075-8450 ;$v501 606 $aComputer simulation 606 $aPhysics 606 $aStatistical physics 606 $aDynamical systems 606 $aAtoms 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aMathematical Methods in Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19013 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000 606 $aAtomic, Molecular, Optical and Plasma Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P24009 606 $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090 615 0$aComputer simulation. 615 0$aPhysics. 615 0$aStatistical physics. 615 0$aDynamical systems. 615 0$aAtoms. 615 14$aSimulation and Modeling. 615 24$aMathematical Methods in Physics. 615 24$aNumerical and Computational Physics, Simulation. 615 24$aComplex Systems. 615 24$aAtomic, Molecular, Optical and Plasma Physics. 615 24$aStatistical Physics and Dynamical Systems. 676 $a530/.01/13 702 $aKertesz$b Janos$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKondor$b Imre$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aEčotvčos Summer School 906 $aBOOK 912 $a9910257407003321 996 $aAdvances in computer simulation$91502088 997 $aUNINA