{
"item_title" : "Active Particles, Volume 3",
"item_author" : [" Nicola Bellomo", "José Antonio Carrillo", "Eitan Tadmor "],
"item_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 swarmsMultiscale aspects of the dynamics of human crowdsMathematical modeling of cell collective motion triggered by self-generated gradientsClustering dynamics on graphsRandom Batch Methods for classical and quantum interacting particle systemsThe consensus-based global optimization algorithm and its recent variantsMathematicians 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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Active Particles, Volume 3 : Advances in Theory, Models, and Applications
Other Available Formats
Overview
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
This item is Non-Returnable
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Details
- ISBN-13: 9783030933043
- ISBN-10: 3030933040
- Publisher: Birkhauser
- Publish Date: March 2023
- Dimensions: 9.21 x 6.14 x 0.5 inches
- Shipping Weight: 0.74 pounds
- Page Count: 226
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