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Active Particles, Volume 1 ...
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; and stochastic 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
Monografía
monografia Rebiun18727186 https://catalogo.rebiun.org/rebiun/record/Rebiun18727186 cr c 170410s2017 gw o 001 0 eng d 9783319499963 978-3-319-49996-3 10.1007/978-3-319-49996-3 doi UPVA 996876611103706 UAM 991007711571504211 UR0415733 UAL spa UAL rdc 003.3 23 Active Particles, Volume 1 Advances in Theory, Models, and Applications edited by Nicola Bellomo, Pierre Degond, Eitan Tadmor Cham Springer International Publishing Imprint: Birkhäuser 2017 Cham Cham Springer International Publishing Imprint: Birkhäuser 1 recurso en línea 1 recurso en línea X, 402 p. 100 illus., 94 illus. in color X, 402 p. 100 illus., 94 illus. in color Texto (visual) isbdcontent electrónico isbdmedia Springer eBooks Modeling and Simulation in Science, Engineering and Technology 2164-3679 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; and stochastic 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 Modo de acceso: World Wide Web Mathematics System theory Mathematical models Mathematics Mathematical Modeling and Industrial Mathematics Complex Systems Complex Systems Statistical Physics and Dynamical Systems Systems Theory, Control Matemáticas Libros electrónicos Recursos electrónicos Bellomo, Nicola Degond, Pierre Tadmor, Eitan SpringerLink (Online service)