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Active Particles, Volume 3: Advances in Theory, Models, and Applications de Nicola Bellomo

Active Particles, Volume 3: Advances in Theory, Models, and Applications: Modeling and Simulation in Science, Engineering and Technology

Editat de Nicola Bellomo, José Antonio Carrillo, Eitan Tadmor
en Limba Engleză Hardback – 29 mar 2022
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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Specificații

ISBN-13: 9783030933012
ISBN-10: 3030933016
Pagini: 226
Ilustrații: VII, 226 p. 44 illus., 42 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.51 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Birkhäuser
Seria Modeling and Simulation in Science, Engineering and Technology

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

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 active particles