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Active Particles, Volume 3

Advances in Theory, Models, and Applications
Langbeschreibung
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:
Inhaltsverzeichnis
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.
ISBN-13:
9783030933029
Veröffentl:
2022
Seiten:
226
Autor:
Nicola Bellomo
Serie:
Modeling and Simulation in Science, Engineering and Technology
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch

117,69 €*

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