Utvidet returrett til 31. januar 2024
Om Active Particles, Volume 3

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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  • Språk:
  • Engelsk
  • ISBN:
  • 9783030933043
  • Bindende:
  • Paperback
  • Sider:
  • 236
  • Utgitt:
  • 30. mars 2023
  • Utgave:
  • 23001
  • Dimensjoner:
  • 155x13x235 mm.
  • Vekt:
  • 365 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 23. november 2024

Beskrivelse av Active Particles, Volume 3

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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