03904nam 22006735 450 991055688000332120251113173949.03-030-93302-410.1007/978-3-030-93302-9(MiAaPQ)EBC6941414(Au-PeEL)EBL6941414(CKB)21435612700041(PPN)261518852(OCoLC)1309027999(DE-He213)978-3-030-93302-9(EXLCZ)992143561270004120220328d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierActive Particles, Volume 3 Advances in Theory, Models, and Applications /edited by Nicola Bellomo, José Antonio Carrillo, Eitan Tadmor1st ed. 2022.Cham :Springer International Publishing :Imprint: Birkhäuser,2022.1 online resource (230 pages)Modeling and Simulation in Science, Engineering and Technology,2164-3725Print version: Bellomo, Nicola Active Particles, Volume 3 Cham : Springer International Publishing AG,c2022 9783030933012 G. Ariel, A. Ayali, A. Be'er, D. Knebel, Variability and Heterogeneity in Natural Swarms: Experiments and Modeling -- M. Bruna, M. Burger, J.-F. Pietschmann, M.-T. Wolfram, Active Crowds -- V. Calvez, M. Demircigil, R. Sublet, Mathematical Modeling of Cell Collective Motion Triggered by Self-Generated Gradients -- K. Craig, N. Garcia Trillos, D. Slepcev, Clustering Dynamics on Graphs: From Spectral Clustering to Mean Shift Through Fokker-Planck Interpolation -- S. Jin, L. Li, Random Batch Methods for Classical and Quantum Interacting Particle Systems and Statistical Samplings -- C. Totzeck, Trends in Consensus-Based Optimization.This edited volume collects six surveys that present state-of-the-art results on modeling, qualitative analysis, and simulation of active matter, focusing on specific applications in the natural sciences. Following the previously published Active Particles volumes, these chapters are written by leading experts in the field and reflect the diversity of subject matter in theory and applications within an interdisciplinary framework. Topics covered include: Variability and heterogeneity in natural swarms Multiscale aspects of the dynamics of human crowds Mathematical modeling of cell collective motion triggered by self-generated gradients Clustering dynamics on graphs Random Batch Methods for classical and quantum interacting particle systems The consensus-based global optimization algorithm and its recent variants 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.Modeling and Simulation in Science, Engineering and Technology,2164-3725Mathematical modelsSystem theoryStatistical physicsStatistical mechanicsMathematical Modeling and Industrial MathematicsComplex SystemsStatistical PhysicsStatistical MechanicsMathematical models.System theory.Statistical physics.Statistical mechanics.Mathematical Modeling and Industrial Mathematics.Complex Systems.Statistical Physics.Statistical Mechanics.519.3530.475Bellomo N.Carrillo José AntonioTadmor EitanMiAaPQMiAaPQMiAaPQBOOK9910556880003321Active Particles, Volume 34464163UNINA