Active Particles, Volume 3
Advances in Theory, Models, and Applications
1st Edition
Published on 28. March 2022
VII, 226 pages
978-3-030-93302-9 (ISBN)
Description
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
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VII, 226 p. 44 illus., 42 illus. in color.
File size
8,03 MB
ISBN-13
978-3-030-93302-9 (9783030933029)
DOI
10.1007/978-3-030-93302-9
Schweitzer Classification
Other editions
Additional editions
Nicola Bellomo | José Antonio Carrillo | Eitan Tadmor
Active Particles, Volume 3
Advances in Theory, Models, and Applications
Book
03/2022
Birkhäuser
€128.39
Shipment within 7-9 days
Content
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.
