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Monte Carlo simulation in statistical physics: an introduction

The 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 fluc...

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Detalles Bibliográficos
Autores principales: Binder, Kurt, Heermann, Dieter W
Lenguaje:eng
Publicado: Springer 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-10758-1
http://cds.cern.ch/record/2673431
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author Binder, Kurt
Heermann, Dieter W
author_facet Binder, Kurt
Heermann, Dieter W
author_sort Binder, Kurt
collection CERN
description The 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.
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spelling cern-26734312021-04-21T18:25:24Zdoi:10.1007/978-3-030-10758-1http://cds.cern.ch/record/2673431engBinder, KurtHeermann, Dieter WMonte Carlo simulation in statistical physics: an introductionMathematical Physics and MathematicsThe 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.Springeroai:cds.cern.ch:26734312019
spellingShingle Mathematical Physics and Mathematics
Binder, Kurt
Heermann, Dieter W
Monte Carlo simulation in statistical physics: an introduction
title Monte Carlo simulation in statistical physics: an introduction
title_full Monte Carlo simulation in statistical physics: an introduction
title_fullStr Monte Carlo simulation in statistical physics: an introduction
title_full_unstemmed Monte Carlo simulation in statistical physics: an introduction
title_short Monte Carlo simulation in statistical physics: an introduction
title_sort monte carlo simulation in statistical physics: an introduction
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-10758-1
http://cds.cern.ch/record/2673431
work_keys_str_mv AT binderkurt montecarlosimulationinstatisticalphysicsanintroduction
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