|
|
|
|
| LEADER |
02890nmm a2200361 u 4500 |
| 001 |
EB001873000 |
| 003 |
EBX01000000000000001036371 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
190924 ||| eng |
| 020 |
|
|
|a 9783030202972
|
| 100 |
1 |
|
|a Bellomo, Nicola
|e [editor]
|
| 245 |
0 |
0 |
|a Active Particles, Volume 2
|h Elektronische Ressource
|b Advances in Theory, Models, and Applications
|c edited by Nicola Bellomo, Pierre Degond, Eitan Tadmor
|
| 250 |
|
|
|a 1st ed. 2019
|
| 260 |
|
|
|a Cham
|b Springer International Publishing
|c 2019, 2019
|
| 300 |
|
|
|a VII, 274 p. 67 illus., 64 illus. in color
|b online resource
|
| 505 |
0 |
|
|a Kinetic and moment models for cell motion in fiber structures -- Kinetic models for pattern formation in animal aggregations: a symmetry and bifurcation approach -- Aggregation-diffusion equations: dynamics, asymptotics, and singular limits -- High-resolution positivity and asymptotic preserving Numerical methods for chemotaxis and related models -- Control strategies for the dynamics of large particle systems -- Kinetic equations and self-organized band formations -- Singular Cucker-Smale dynamics -- A stochastic-statistical residential burglary model with finite size effects
|
| 653 |
|
|
|a Statistical Physics and Dynamical Systems
|
| 653 |
|
|
|a Statistical physics
|
| 653 |
|
|
|a System theory
|
| 653 |
|
|
|a Complex Systems
|
| 653 |
|
|
|a Mathematical Modeling and Industrial Mathematics
|
| 653 |
|
|
|a Complex Systems
|
| 653 |
|
|
|a Dynamical systems
|
| 653 |
|
|
|a Mathematical models
|
| 700 |
1 |
|
|a Degond, Pierre
|e [editor]
|
| 700 |
1 |
|
|a Tadmor, Eitan
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Modeling and Simulation in Science, Engineering and Technology
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-20297-2?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 003.3
|
| 520 |
|
|
|a This volume compiles eight recent surveys that present state-of-the-art results in the field of active matter at different scales, modeled by agent-based, kinetic, and hydrodynamic descriptions. Following the previously published volume, these chapters were written by leading experts in the field and accurately reflect the diversity of subject matter in theory and applications. Several mathematical tools are employed throughout the volume, including analysis of nonlinear PDEs, network theory, mean field approximations, control theory, and flocking analysis. The book also covers a wide range of applications, including: Biological network formation Social systems Control theory of sparse systems Dynamics of swarming and flocking systems Stochastic particles and mean field approximations 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
|