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Titlebook: Active Particles, Volume 3; Advances in Theory, Nicola Bellomo,José Antonio Carrillo,Eitan Tadmor Book 2022 The Editor(s) (if applicable)

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发表于 2025-3-21 17:50:53 | 显示全部楼层 |阅读模式
期刊全称Active Particles, Volume 3
期刊简称Advances in Theory,
影响因子2023Nicola Bellomo,José Antonio Carrillo,Eitan Tadmor
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发行地址Explores the most recent advances and methods for applications of active particles.Chapters written by leading researchers in their respective areas.Guides readers through numerous applications of act
学科分类Modeling and Simulation in Science, Engineering and Technology
图书封面Titlebook: Active Particles, Volume 3; Advances in Theory,  Nicola Bellomo,José Antonio Carrillo,Eitan Tadmor Book 2022 The Editor(s) (if applicable)
影响因子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..
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Nicola Bellomo,José Antonio Carrillo,Eitan TadmorExplores the most recent advances and methods for applications of active particles.Chapters written by leading researchers in their respective areas.Guides readers through numerous applications of act
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Meixing Le,Krishna Kant,Sushil Jajodiaenomena. Thus, it is clear that the observed macroscopic, coarse-grained swarm dynamics depend on the properties of the individuals of which it is composed. In nature, individuals are never identical and may differ in practically every parameter. Hence, intragroup variability and its effect on the a
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https://doi.org/10.1007/978-3-319-01433-3ells to find its way during a long journey. This note is intended to discuss various scenarios for modeling traveling waves of cells that constantly deplete a chemical cue and so create their own signaling gradient all along the way. We begin with one famous model by Keller and Segel for bacterial c
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Ehab Al-Shaer,Xinming Ou,Geoffrey Xie to connect the mean shift algorithm with spectral clustering at discrete and continuum levels. We seek this connection through the introduction of Fokker–Planck equations on data graphs. Besides introducing new forms of mean shift algorithms on graphs, we provide new theoretical insights on the beh
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