Active Particles, Volume 1

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This volume collects ten surveys on the modeling, simulation, and applications of active particles using methods ranging from mathematical kinetic theory to nonequilibrium statistical mechanics. The contributing authors are leading experts working in this challenging field, and each of their chapters provides a review of the most recent results in their areas and looks ahead to future research directions. The approaches to studying active matter are presented here from many different perspectives, such as individual-based models, evolutionary games, Brownian motion, and continuum theories, as well as various combinations of these. Applications covered include biological network formation and network theory; opinion formation and social systems; control theory of sparse systems; theory and applications of mean field games; population learning; dynamics of flocking systems; vehicular traffic flow; andstochastic particles and mean field approximation. Mathematicians and other members of the scientific community interested in active matter and its many applications will find this volume to be a timely, authoritative, and valuable resource.

Explores the most recent advances and methods for applications of active particles Contributing authors are leading researchers in their respective areas Numerous applications of active particles covered, such as biological network formation, population learning, and vehicular traffic flow Includes supplementary material: sn.pub/extras

Inhalt
Albi, G., Burger, M., Haskovec, J., Markowich, P., Schlottbom, M., Discrete and Continuum Modeling of Biological Network Formation.- Albi, G., Pareschi, L., Toscani, G., Zanella, M., Recent Advances in Opinion Modeling: Control and Social Influence.- Aydodu, A., Caponigro, M., McQuade, S., Piccoli, B., Pouradier Duteil, N., Rossi, F., Trélat, E., Interaction Network, State Space, and Control in Social Dynamics.- Benamou, J., Carlier, G., Santambrogio, F., Variational Mean Field Games.- Bongini, M., Fornasier, M., Sparse Control of Multiagent Systems.- Burini, D., Gibelli, L., Outada, N., A Kinetic Theory Approach to the Modeling of Complex Living Systems.- Carrillo, J., Choi, Y., Pérez, S., A Review of Attractive-Repulsive Hydrodynamics for Consensus in Collective Behavior.- Choi, Y., Ha, S., Li, Z., Emergent Dynamics of the Cucker-Smale Flocking Model and its Variants.- Di Francesco, M., Fagioli, S., Rosini, M., Russo, G., Follow-the-Leader Approximations of Macroscopic Models for Vehicular and Pedestrian Flows.- Jabin, P., Wang, Z., Mean Field Limit for Stochastic Particle Systems.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319499949
    • Genre Maths
    • Auflage 1st ed. 2017
    • Editor Nicola Bellomo, Pierre Degond, Eitan Tadmor
    • Sprache Englisch
    • Lesemotiv Verstehen
    • Anzahl Seiten 402
    • Herausgeber Birkhäuser
    • Größe H240mm x B171mm x T27mm
    • Jahr 2017
    • EAN 9783319499949
    • Format Fester Einband
    • ISBN 978-3-319-49994-9
    • Titel Active Particles, Volume 1
    • Untertitel Advances in Theory, Models, and Applications
    • Gewicht 792g

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