Statistical Mechanics of Networks - Applications in Econophysics
5 Angebote vergleichen
Preise | 2013 | 2014 | 2015 | 2016 |
---|---|---|---|---|
Schnitt | € 58,92 | € 60,56 | € 63,06 | € 60,97 |
Nachfrage |
1
Statistical Mechanics of Networks (2013)
DE PB NW RP
ISBN: 9783639031782 bzw. 3639031784, in Deutsch, VDM Verlag Dr. Müller E.K. Okt 2013, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - The study of networks has experienced a tremendous increase of interest over the past decade. From the viewpoint of physics, much of this interest arises from the fact that networks grasp the main essence of complex systems, namely the long-range interactions between individual elements. This book demonstrates that, within the methodology of statistical physics, networks can be understood on three different descriptory levels. Firstly, it is shown that random matrix theory can be used to describe random features of networks. This also makes the acquiring of non-random properties possible, which is exemplified based on high-frequency financial data. Secondly, aiming towards the understanding of real-world networks (which deviate strongly from the random case) an understanding based on equilibrium statistical mechanics is proposed. It is shown that a Hamiltonian motivated from utility theory allows to describe real-world evidence accurately. Finally,a specific model of network formation is developed to describe out-of-equilibrium aspects of cooperation and network formation. The three descriptory levels are discussed under a unifying viewpoint. 132 pp. Englisch.
This item is printed on demand - Print on Demand Neuware - The study of networks has experienced a tremendous increase of interest over the past decade. From the viewpoint of physics, much of this interest arises from the fact that networks grasp the main essence of complex systems, namely the long-range interactions between individual elements. This book demonstrates that, within the methodology of statistical physics, networks can be understood on three different descriptory levels. Firstly, it is shown that random matrix theory can be used to describe random features of networks. This also makes the acquiring of non-random properties possible, which is exemplified based on high-frequency financial data. Secondly, aiming towards the understanding of real-world networks (which deviate strongly from the random case) an understanding based on equilibrium statistical mechanics is proposed. It is shown that a Hamiltonian motivated from utility theory allows to describe real-world evidence accurately. Finally,a specific model of network formation is developed to describe out-of-equilibrium aspects of cooperation and network formation. The three descriptory levels are discussed under a unifying viewpoint. 132 pp. Englisch.
2
Symbolbild
Statistical Mechanics of Networks (2013)
DE PB NW
ISBN: 9783639031782 bzw. 3639031784, in Deutsch, VDM Verlag Dr. Müller E.K. Okt 2013, Taschenbuch, neu.
Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, Germany.
Neuware - The study of networks has experienced a tremendous increase of interest over the past decade. From the viewpoint of physics, much of this interest arises from the fact that networks grasp the main essence of complex systems, namely the long-range interactions between individual elements. This book demonstrates that, within the methodology of statistical physics, networks can be understood on three different descriptory levels. Firstly, it is shown that random matrix theory can be used to describe random features of networks. This also makes the acquiring of non-random properties possible, which is exemplified based on high-frequency financial data. Secondly, aiming towards the understanding of real-world networks (which deviate strongly from the random case) an understanding based on equilibrium statistical mechanics is proposed. It is shown that a Hamiltonian motivated from utility theory allows to describe real-world evidence accurately. Finally,a specific model of network formation is developed to describe out-of-equilibrium aspects of cooperation and network formation. The three descriptory levels are discussed under a unifying viewpoint. 132 pp. Englisch.
Neuware - The study of networks has experienced a tremendous increase of interest over the past decade. From the viewpoint of physics, much of this interest arises from the fact that networks grasp the main essence of complex systems, namely the long-range interactions between individual elements. This book demonstrates that, within the methodology of statistical physics, networks can be understood on three different descriptory levels. Firstly, it is shown that random matrix theory can be used to describe random features of networks. This also makes the acquiring of non-random properties possible, which is exemplified based on high-frequency financial data. Secondly, aiming towards the understanding of real-world networks (which deviate strongly from the random case) an understanding based on equilibrium statistical mechanics is proposed. It is shown that a Hamiltonian motivated from utility theory allows to describe real-world evidence accurately. Finally,a specific model of network formation is developed to describe out-of-equilibrium aspects of cooperation and network formation. The three descriptory levels are discussed under a unifying viewpoint. 132 pp. Englisch.
3
Statistical Mechanics of Networks: Applications in Econophysics (2008)
EN PB NW
ISBN: 9783639031782 bzw. 3639031784, in Englisch, 132 Seiten, VDM Verlag Dr. Müller, Taschenbuch, neu.
Nuovo da: $54.59 (22 Offerte)
Utilizzato da: $82.06 (8 Offerte)
Mostra dettagli 30 Offerte a Amazon.com
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, marvelio.
The study of networks has experienced a tremendous increase of interest over the past decade. From the viewpoint of physics, much of this interest arises from the fact that networks grasp the main essence of complex systems, namely the long-range interactions between individual elements. This book demonstrates that, within the methodology of statistical physics, networks can be understood on three different descriptory levels. Firstly, it is shown that random matrix theory can be used to describe random features of networks. This also makes the acquiring of non-random properties possible, which is exemplified based on high-frequency financial data. Secondly, aiming towards the understanding of real-world networks (which deviate strongly from the random case) an understanding based on equilibrium statistical mechanics is proposed. It is shown that a Hamiltonian motivated from utility theory allows to describe real-world evidence accurately. Finally, a specific model of network formation is developed to describe out-of-equilibrium aspects of cooperation and network formation. The three descriptory levels are discussed under a unifying viewpoint. Paperback, Etichetta: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Gruppo prodotti: Book, Pubblicato: 2008-07-22, Data di rilascio: 2008-07-22, Studio: VDM Verlag Dr. Müller, Classifica vendite: 7034097.
Von Händler/Antiquariat, marvelio.
The study of networks has experienced a tremendous increase of interest over the past decade. From the viewpoint of physics, much of this interest arises from the fact that networks grasp the main essence of complex systems, namely the long-range interactions between individual elements. This book demonstrates that, within the methodology of statistical physics, networks can be understood on three different descriptory levels. Firstly, it is shown that random matrix theory can be used to describe random features of networks. This also makes the acquiring of non-random properties possible, which is exemplified based on high-frequency financial data. Secondly, aiming towards the understanding of real-world networks (which deviate strongly from the random case) an understanding based on equilibrium statistical mechanics is proposed. It is shown that a Hamiltonian motivated from utility theory allows to describe real-world evidence accurately. Finally, a specific model of network formation is developed to describe out-of-equilibrium aspects of cooperation and network formation. The three descriptory levels are discussed under a unifying viewpoint. Paperback, Etichetta: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Gruppo prodotti: Book, Pubblicato: 2008-07-22, Data di rilascio: 2008-07-22, Studio: VDM Verlag Dr. Müller, Classifica vendite: 7034097.
4
Symbolbild
Statistical Mechanics of Networks (2008)
DE PB
ISBN: 9783639031782 bzw. 3639031784, in Deutsch, VDM Verlag Dr. Mueller e.K, Taschenbuch.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: CHE.
Von Händler/Antiquariat, Ergodebooks.
VDM Verlag Dr. Mueller e.K, 2008-07-23. Paperback. Used:Good. Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. 24*7 Customer Service.
Von Händler/Antiquariat, Ergodebooks.
VDM Verlag Dr. Mueller e.K, 2008-07-23. Paperback. Used:Good. Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. 24*7 Customer Service.
Lade…