Monte Carlo Simulation in Statistical Physics: An Introduction
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1992
|
| Edition: | Second Corrected Edition |
| Series: | Springer Series in Solid-State Sciences
80 |
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | When learning very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "realiife" problem, the passivity of this understanding sometimes becomes painfully elear. To be able to solve the problem, ideas, methods, etc. need to be ready at hand. They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done? The material presented here was born out of a series of lectures at the Summer School held at Figueira da Foz (Portugal) in 1987. The series of lectures was split into two concurrent parts. In one part the "formal material" was presented. Since the background of those attending varied widely, the presentation of the formal material was kept as pedagogic as possible. In the formal part the general ideas behind the Monte Carlo method were developed. The Monte Carlo method has now found widespread appli cation in many branches of science such as physics, chemistry, and biology. Because of this, the scope of the lectures had to be narrowed down. We could not give a complete account and restricted the treatment to the ap plication of the Monte Carlo method to the physics of phase transitions. Here particular emphasis is placed on finite-size effects |
| Physical Description: | 1 Online-Ressource (VIII, 132 p) |
| ISBN: | 9783662302736 9783662302750 |
| ISSN: | 0171-1873 |
| DOI: | 10.1007/978-3-662-30273-6 |
Staff View
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| indexdate | 2024-07-10T01:20:55Z |
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| isbn | 9783662302736 9783662302750 |
| issn | 0171-1873 |
| language | English |
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| spelling | Binder, Kurt Verfasser aut Monte Carlo Simulation in Statistical Physics An Introduction by Kurt Binder, Dieter W. Heermann Second Corrected Edition Berlin, Heidelberg Springer Berlin Heidelberg 1992 1 Online-Ressource (VIII, 132 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Solid-State Sciences 80 0171-1873 When learning very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "realiife" problem, the passivity of this understanding sometimes becomes painfully elear. To be able to solve the problem, ideas, methods, etc. need to be ready at hand. They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done? The material presented here was born out of a series of lectures at the Summer School held at Figueira da Foz (Portugal) in 1987. The series of lectures was split into two concurrent parts. In one part the "formal material" was presented. Since the background of those attending varied widely, the presentation of the formal material was kept as pedagogic as possible. In the formal part the general ideas behind the Monte Carlo method were developed. The Monte Carlo method has now found widespread appli cation in many branches of science such as physics, chemistry, and biology. Because of this, the scope of the lectures had to be narrowed down. We could not give a complete account and restricted the treatment to the ap plication of the Monte Carlo method to the physics of phase transitions. Here particular emphasis is placed on finite-size effects Physics Chemistry, Physical organic Mathematical physics Thermodynamics Mathematical Methods in Physics Numerical and Computational Physics Statistical Physics, Dynamical Systems and Complexity Physical Chemistry Mathematische Physik Monte-Carlo-Simulation (DE-588)4240945-7 gnd rswk-swf Statistische Physik (DE-588)4057000-9 gnd rswk-swf Statistische Physik (DE-588)4057000-9 s Monte-Carlo-Simulation (DE-588)4240945-7 s DE-604 Heermann, Dieter W. Sonstige oth https://doi.org/10.1007/978-3-662-30273-6 Verlag Volltext |
| 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 Physical Chemistry Mathematische Physik Monte-Carlo-Simulation (DE-588)4240945-7 gnd Statistische Physik (DE-588)4057000-9 gnd |
| subject_GND | (DE-588)4240945-7 (DE-588)4057000-9 |
| 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 Physical Chemistry Mathematische Physik Monte-Carlo-Simulation (DE-588)4240945-7 gnd Statistische Physik (DE-588)4057000-9 gnd |
| topic_facet | Physics Chemistry, Physical organic Mathematical physics Thermodynamics Mathematical Methods in Physics Numerical and Computational Physics Statistical Physics, Dynamical Systems and Complexity Physical Chemistry Mathematische Physik Monte-Carlo-Simulation Statistische Physik |
| url | https://doi.org/10.1007/978-3-662-30273-6 |
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