LEADER 04591nam 22007455 450 001 9910337881203321 005 20200630091137.0 010 $a3-030-10758-2 024 7 $a10.1007/978-3-030-10758-1 035 $a(CKB)4100000008048101 035 $a(DE-He213)978-3-030-10758-1 035 $a(MiAaPQ)EBC5919919 035 $a(PPN)235669326 035 $a(EXLCZ)994100000008048101 100 $a20190430d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMonte Carlo Simulation in Statistical Physics $eAn Introduction /$fby Kurt Binder, Dieter W. Heermann 205 $a6th ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XVII, 258 p. 155 illus., 5 illus. in color.) 225 1 $aGraduate Texts in Physics,$x1868-4513 311 $a3-030-10757-4 327 $aIntroduction: Purpose and Scope of this Volume, and Some General Comments -- Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics -- Guide to Practical Work with the Monte Carlo Method -- Some Important Developments of the Monte Carlo Methodology -- Quantum Monte Carlo Simulation: An Introduction -- Monte Carlo Methods for the Sampling of Free Energy Landscapes -- Special Monte Carlo Algorithms -- Finite Size Scaling Tools for the Study of Interfacial Phenomena and Wetting. 330 $aThe sixth edition of this highly successful textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, which deals with the computer simulation of many-body systems in condensed matter physics and related fields of physics and beyond (traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, these powerful simulation methods calculate probability distributions, making it possible to estimate the thermodynamic properties of various systems. The book describes the theoretical background of these methods, enabling newcomers to perform such simulations and to analyse their results. It features a modular structure, with two chapters providing a basic pedagogic introduction plus exercises suitable for university courses; the remaining chapters cover major recent developments in the field. This edition has been updated with two new chapters dealing with recently developed powerful special algorithms and with finite size scaling tools for the study of interfacial phenomena, which are important for nanoscience. Previous editions have been highly praised and widely used by both students and advanced researchers. 410 0$aGraduate Texts in Physics,$x1868-4513 606 $aStatistical physics 606 $aDynamics 606 $aMathematical physics 606 $aPhysics 606 $aComputer simulation 606 $aCondensed matter 606 $aChemistry, Physical and theoretical 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000 606 $aMathematical Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/M35000 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aCondensed Matter Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P25005 606 $aPhysical Chemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/C21001 615 0$aStatistical physics. 615 0$aDynamics. 615 0$aMathematical physics. 615 0$aPhysics. 615 0$aComputer simulation. 615 0$aCondensed matter. 615 0$aChemistry, Physical and theoretical. 615 14$aComplex Systems. 615 24$aMathematical Physics. 615 24$aNumerical and Computational Physics, Simulation. 615 24$aSimulation and Modeling. 615 24$aCondensed Matter Physics. 615 24$aPhysical Chemistry. 676 $a530.13 700 $aBinder$b Kurt$4aut$4http://id.loc.gov/vocabulary/relators/aut$044903 702 $aHeermann$b Dieter W$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337881203321 996 $aMonte Carlo Simulation in statistical physics$9192849 997 $aUNINA