Monte Carlo Simulation in Statistical Physics: An Introduction
Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2002
|
Ausgabe: | Fourth, Enlarged Edition |
Schriftenreihe: | Springer Series in Solid-State Sciences
80 |
Schlagwörter: | |
Links: | https://doi.org/10.1007/978-3-662-04685-2 |
Beschreibung: | Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methods and gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. This fourth edition has been updated and a new chapter on Monte Carlo simulation of quantum-mechanical problems has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001 |
Umfang: | 1 Online-Ressource (XII, 183 p) |
ISBN: | 9783662046852 9783642077463 |
ISSN: | 0171-1873 |
DOI: | 10.1007/978-3-662-04685-2 |
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illustrated | Not Illustrated |
indexdate | 2024-12-20T17:10:31Z |
institution | BVB |
isbn | 9783662046852 9783642077463 |
issn | 0171-1873 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027849855 |
oclc_num | 863894365 |
open_access_boolean | |
owner | DE-91 DE-BY-TUM DE-83 |
owner_facet | DE-91 DE-BY-TUM DE-83 |
physical | 1 Online-Ressource (XII, 183 p) |
psigel | ZDB-2-PHA ZDB-2-BAE ZDB-2-PHA_Archive |
publishDate | 2002 |
publishDateSearch | 2002 |
publishDateSort | 2002 |
publisher | Springer Berlin Heidelberg |
record_format | marc |
series2 | Springer Series in Solid-State Sciences |
spellingShingle | Binder, Kurt Monte Carlo Simulation in Statistical Physics An Introduction Physics Chemistry, Physical organic Mathematical physics Thermodynamics Mathematical Methods in Physics Numerical and Computational Physics Statistical Physics, Dynamical Systems and Complexity Condensed Matter Physics Physical Chemistry Mathematische Physik Statistische Physik (DE-588)4057000-9 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
subject_GND | (DE-588)4057000-9 (DE-588)4240945-7 |
title | Monte Carlo Simulation in Statistical Physics An Introduction |
title_auth | Monte Carlo Simulation in Statistical Physics An Introduction |
title_exact_search | Monte Carlo Simulation in Statistical Physics An Introduction |
title_full | Monte Carlo Simulation in Statistical Physics An Introduction by Kurt Binder, Dieter W. Heermann |
title_fullStr | Monte Carlo Simulation in Statistical Physics An Introduction by Kurt Binder, Dieter W. Heermann |
title_full_unstemmed | Monte Carlo Simulation in Statistical Physics An Introduction by Kurt Binder, Dieter W. Heermann |
title_short | Monte Carlo Simulation in Statistical Physics |
title_sort | monte carlo simulation in statistical physics an introduction |
title_sub | An Introduction |
topic | Physics Chemistry, Physical organic Mathematical physics Thermodynamics Mathematical Methods in Physics Numerical and Computational Physics Statistical Physics, Dynamical Systems and Complexity Condensed Matter Physics Physical Chemistry Mathematische Physik Statistische Physik (DE-588)4057000-9 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
topic_facet | Physics Chemistry, Physical organic Mathematical physics Thermodynamics Mathematical Methods in Physics Numerical and Computational Physics Statistical Physics, Dynamical Systems and Complexity Condensed Matter Physics Physical Chemistry Mathematische Physik Statistische Physik Monte-Carlo-Simulation |
url | https://doi.org/10.1007/978-3-662-04685-2 |
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