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Active particles.Volume 3,Advances in theory, models, and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Active particles.edited by Nicola Bellomo, Jose Antonio Carrillo, Eitan Tadmor.
remainder title:	Advances in theory, models, and applications
other author:	Bellomo, Nicola.
Published:	Cham :Springer International Publishing :2022.
Description:	vii, 226 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical models.
Online resource:	https://doi.org/10.1007/978-3-030-93302-9
ISBN:	9783030933029$q(electronic bk.)

Active particles.Volume 3,Advances in theory, models, and applications
Active particles.Volume 3,Advances in theory, models, and applications[electronic resource] /Advances in theory, models, and applicationsedited by Nicola Bellomo, Jose Antonio Carrillo, Eitan Tadmor. - Cham :Springer International Publishing :2022. - vii, 226 p. :ill. (some col.), digital ;24 cm. - Modeling and simulation in science, engineering and technology,2164-3725. - Modeling and simulation in science, engineering and technology..

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.

ISBN: 9783030933029$q(electronic bk.)

Standard No.: 10.1007/978-3-030-93302-9doiSubjects--Topical Terms:

182479
Mathematical models.

LC Class. No.: QA401 / .A37 2022

Dewey Class. No.: 511.8

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505 0 $a 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.
520 $a 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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