04015nam a22006015i 4500 978-3-031-73423-6 DE-He213 20251030114615.0 cr nn 008mamaa 241213s2024 sz | s |||| 0|eng d 9783031734236 978-3-031-73423-6 10.1007/978-3-031-73423-6 doi TA342-343 PBWH bicssc TBJ bicssc MAT003000 bisacsh PBWH thema TBJ thema Active Particles, Volume 4 [electronic resource] : Theory, Models, Applications / edited by José Antonio Carrillo, Eitan Tadmor. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Birkhäuser, 2024. IX, 505 p. 89 illus., 76 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Modeling and Simulation in Science, Engineering and Technology, 2164-3725 1 Consistency of Semi-supervised Learning, Stochastic Tug-of-War Games, and the p-Laplacian -- 2 Discrete Minimizers of the Interaction Energy in Collective Behavior -- 3 Large-Population Limits of Non-Exchangeable Particle Systems -- 4 Models of Animal Behavior as Active Particle Systems with Nonreciprocal Interactions -- 5 Bayesian Sampling Using Interacting Particles -- 6 Aggregation-Diffusion Phenomena -- 7 Conservative Semi-Lagrangian Methods for Kinetic Equations -- 8 Large Population Limit of Interacting Population Dynamics via Generalized Gradient Structures -- 9 Adjoint Monte Carlo Method. This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences. As in the preceding Active Particles volumes, it blends diverse applications that demonstrate the interdisciplinary nature of the subject and the various mathematical tools available. Contributions were selected with the aim of covering a variety of viewpoints, from modeling the interactions in collective dynamics of animals and in population dynamics; through neural-networks, semi-supervised learning, and Monte Carlo methods in optimization; to kinetic and continuum theories with applications to aggregations and birth-and-death processes. 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. Mathematical models. 66910 System theory. 66519 Statistical Physics. 70323 Statistical Mechanics. 69101 Mathematical Modeling and Industrial Mathematics. 66912 Complex Systems. 66520 Statistical Physics. 70323 Statistical Mechanics. 69101 Carrillo, José Antonio. editor. (orcid)0000-0001-8819-4660 https://orcid.org/0000-0001-8819-4660 edt http://id.loc.gov/vocabulary/relators/edt 88861 Tadmor, Eitan. editor. (orcid)0000-0001-7424-6327 https://orcid.org/0000-0001-7424-6327 edt http://id.loc.gov/vocabulary/relators/edt 88862 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031734229 Printed edition: 9783031734243 Printed edition: 9783031734250 Modeling and Simulation in Science, Engineering and Technology, 2164-3725 75979 https://doi.org/10.1007/978-3-031-73423-6 ZDB-2-SMA ZDB-2-SXMS 65676 65676