A Concise Introduction to the Statistical Physics of Complex Systems:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2012
|
| Schriftenreihe: | SpringerBriefs in Complexity
|
| Schlagworte: | |
| Online-Zugang: | TUM01 UBT01 Volltext |
| Beschreibung: | Introduction -- Equilibrium Systems -- Nonequlibrium Systems -- References This concise primer (based on lectures given at summer schools on complex systems and on a masters degree course in complex systems modeling) will provide graduate students and newcomers to the field with the basic knowledge of the concepts and methods of statistical physics and its potential for application to interdisciplinary topics. Indeed, in recent years, statistical physics has begun to attract the interest of a broad community of researchers in the field of complex system sciences, ranging from biology to the social sciences, economics and computer science. More generally, a growing number of graduate students and researchers feel the need to learn some basic concepts and questions originating in other disciplines without necessarily having to master all of the corresponding technicalities and jargon. Generally speaking, the goals of statistical physics may be summarized as follows: on the one hand to study systems composed of a large number of interacting ‘entities’, and on the other to predict the macroscopic (or collective) behavior of the system considered from the microscopic laws ruling the dynamics of the individual ‘entities’. These two goals are, to some extent, also shared by what is nowadays called ‘complex systems science’ and for these reasons, systems studied in the framework of statistical physics may be considered as among the simplest examples of complex systems—allowing in addition a rather well developed mathematical treatment. |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9783642239236 |
| DOI: | 10.1007/978-3-642-23923-6 |
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| isbn | 9783642239236 |
| language | English |
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| spelling | A Concise Introduction to the Statistical Physics of Complex Systems by Eric Bertin Berlin, Heidelberg Springer Berlin Heidelberg 2012 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Complexity Introduction -- Equilibrium Systems -- Nonequlibrium Systems -- References This concise primer (based on lectures given at summer schools on complex systems and on a masters degree course in complex systems modeling) will provide graduate students and newcomers to the field with the basic knowledge of the concepts and methods of statistical physics and its potential for application to interdisciplinary topics. Indeed, in recent years, statistical physics has begun to attract the interest of a broad community of researchers in the field of complex system sciences, ranging from biology to the social sciences, economics and computer science. More generally, a growing number of graduate students and researchers feel the need to learn some basic concepts and questions originating in other disciplines without necessarily having to master all of the corresponding technicalities and jargon. Generally speaking, the goals of statistical physics may be summarized as follows: on the one hand to study systems composed of a large number of interacting ‘entities’, and on the other to predict the macroscopic (or collective) behavior of the system considered from the microscopic laws ruling the dynamics of the individual ‘entities’. These two goals are, to some extent, also shared by what is nowadays called ‘complex systems science’ and for these reasons, systems studied in the framework of statistical physics may be considered as among the simplest examples of complex systems—allowing in addition a rather well developed mathematical treatment. Ingenieurwissenschaften Mathematik Physics Mathematics Engineering Economics, Mathematical Statistical Physics, Dynamical Systems and Complexity Complexity Game Theory, Economics, Social and Behav. Sciences Game Theory/Mathematical Methods Biological Networks, Systems Biology Komplexes System (DE-588)4114261-5 gnd rswk-swf Statistische Physik (DE-588)4057000-9 gnd rswk-swf Komplexes System (DE-588)4114261-5 s Statistische Physik (DE-588)4057000-9 s 1\p DE-604 Bertin, Eric Sonstige oth https://doi.org/10.1007/978-3-642-23923-6 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | A Concise Introduction to the Statistical Physics of Complex Systems Ingenieurwissenschaften Mathematik Physics Mathematics Engineering Economics, Mathematical Statistical Physics, Dynamical Systems and Complexity Complexity Game Theory, Economics, Social and Behav. Sciences Game Theory/Mathematical Methods Biological Networks, Systems Biology Komplexes System (DE-588)4114261-5 gnd Statistische Physik (DE-588)4057000-9 gnd |
| subject_GND | (DE-588)4114261-5 (DE-588)4057000-9 |
| title | A Concise Introduction to the Statistical Physics of Complex Systems |
| title_auth | A Concise Introduction to the Statistical Physics of Complex Systems |
| title_exact_search | A Concise Introduction to the Statistical Physics of Complex Systems |
| title_full | A Concise Introduction to the Statistical Physics of Complex Systems by Eric Bertin |
| title_fullStr | A Concise Introduction to the Statistical Physics of Complex Systems by Eric Bertin |
| title_full_unstemmed | A Concise Introduction to the Statistical Physics of Complex Systems by Eric Bertin |
| title_short | A Concise Introduction to the Statistical Physics of Complex Systems |
| title_sort | a concise introduction to the statistical physics of complex systems |
| topic | Ingenieurwissenschaften Mathematik Physics Mathematics Engineering Economics, Mathematical Statistical Physics, Dynamical Systems and Complexity Complexity Game Theory, Economics, Social and Behav. Sciences Game Theory/Mathematical Methods Biological Networks, Systems Biology Komplexes System (DE-588)4114261-5 gnd Statistische Physik (DE-588)4057000-9 gnd |
| topic_facet | Ingenieurwissenschaften Mathematik Physics Mathematics Engineering Economics, Mathematical Statistical Physics, Dynamical Systems and Complexity Complexity Game Theory, Economics, Social and Behav. Sciences Game Theory/Mathematical Methods Biological Networks, Systems Biology Komplexes System Statistische Physik |
| url | https://doi.org/10.1007/978-3-642-23923-6 |
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