Collective Dynamics from Bacteria to Crowds An Excursion Through Modeling, Analysis and Simulation /
Multiscale models in social applications combine mean-field and kinetic equations with either microscopic or macroscopic level descriptions. In this book the reader will find not only a wide spectrum of multiscale analysis results (like convergence proofs), but also practically important information...
Guardado en:
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Lenguaje: | Inglés |
| Publicado: |
Vienna :
Springer Vienna : Imprint: Springer,
2014.
|
| Edición: | 1. |
| Colección: | CISM International Centre for Mechanical Sciences,
553 |
| Materias: | |
| Acceso en línea: | http://dx.doi.org/10.1007/978-3-7091-1785-9 |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 024 | 7 | |a 10.1007/978-3-7091-1785-9 |2 doi | |
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| 245 | 1 | 0 | |a Collective Dynamics from Bacteria to Crowds |h [libro electrónico] : ; |b An Excursion Through Modeling, Analysis and Simulation / |c edited by Adrian Muntean, Federico Toschi. |
| 250 | |a 1. | ||
| 260 | 1 | |a Vienna : |b Springer Vienna : |b Imprint: Springer, |c 2014. | |
| 300 | |a vii, 177 p. : |b il. | ||
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| 490 | 1 | |a CISM International Centre for Mechanical Sciences, |x 0254-1971 ; |v 553 | |
| 505 | 0 | |a The derivation of swarming models: mean-field limit and Wasserstein distances -- Non-smooth evolution models in crowd dynamics: mathematical and numerical issues -- Pedestrians moving in the dark: balancing measures and playing games on lattices -- Stochastic competition between two populations in space -- Discrete and continuum dynamics of reacting and interacting individuals -- Multiscale crowd dynamics: modeling and theory. | |
| 520 | |a Multiscale models in social applications combine mean-field and kinetic equations with either microscopic or macroscopic level descriptions. In this book the reader will find not only a wide spectrum of multiscale analysis results (like convergence proofs), but also practically important information such as derivations of mean-field equations, methods to handle hard contacts numerically, to model group behavior, to quantitative estimate microscopic/macroscopic segregation of competing species, to quantitative understand the limits of validity of mass-action kinetics for simple reactions. | ||
| 650 | 0 | |a Biomathematics. |9 260990 | |
| 650 | 0 | |a Statistical physics. |9 260517 | |
| 650 | 0 | |a Dynamical systems. |9 259592 | |
| 650 | 0 | |a Complexity, Computational. |9 259624 | |
| 650 | 1 | 4 | |a Physics. |9 259968 |
| 650 | 2 | 4 | |a Complexity. |9 260162 |
| 650 | 2 | 4 | |a Mathematical and Computational Biology. |9 260991 |
| 700 | 1 | |a Muntean, Adrian, |e ed. |9 262005 | |
| 700 | 1 | |a Toschi, Federico, |e ed. |9 262006 | |
| 776 | 0 | 8 | |i Printed edition: |z 9783709117842 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/978-3-7091-1785-9 |
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| 950 | |a Engineering (Springer-11647) | ||
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