Mathematical modeling of collective behavior in socio-economic and life sciences
Mathematical modeling using dynamical systems and partial differential equations is now playing an increasing role in the understanding of complex multi-scale phenomena. Behavior in seemingly different areas such as sociology, economics, and the life sciences can be described by closely related mode...
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| Autore principale: | |
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| Altri autori: | , |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Boston, MA :
Birkhäuser Boston
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2010. |
| Serie: | Modeling and Simulation in Science, Engineering and Technology
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| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
L'impression du document génère 426 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Mathematical modeling of collective behavior in socio-economic and life sciences, Giovanni Naldi, Lorenzo Pareschi, Giuseppe Toscani, editors, Boston, Birkhäuser, 2010, 1 vol (X-435 p.), Modeling and simulation in science, engineering and technology, 978-0-8176-4945-6 • Mathematical modeling of collective behavior in socio-economic and life sciences, Giovanni Naldi, Lorenzo Pareschi, Giuseppe Toscani, editors, Boston, Birkhäuser, 2010, 1 vol (X-435 p.), Modeling and simulation in science, engineering and technology, 978-0-8176-4945-6 • Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences, Texte imprimé, 9780817649517 |
| Riassunto: | Mathematical modeling using dynamical systems and partial differential equations is now playing an increasing role in the understanding of complex multi-scale phenomena. Behavior in seemingly different areas such as sociology, economics, and the life sciences can be described by closely related models. Systems made out of a large enough number of individual members can be said to exhibit a collective behavior, from which insight can be gathered in a way that real-life experiments cannot. Using examples from financial markets and modern warfare to the flocking of birds and the swarming of bacteria, the collected research in this volume demonstrates the common methodological approaches and tools for modeling and simulating collective behavior. Specific topics covered include: * analysis of wealth distributions * dynamics of price formation * spreading of opinions * models of social behavior * population dynamics * aggregation and swarming The topics presented point toward new and challenging frontiers of applied mathematics, making the volume a useful reference text for applied mathematicians, physicists, biologists, and economists involved in the modeling of socio-economic systems |
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| Descrizione del documento: | L'impression du document génère 426 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Bibliografia: | Index |
| ISBN: | 0817649468 9780817649463 |
| ISSN: | 2164-3725 |
| Accesso: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |