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010   $a3-030-20297-6
024 7 $a10.1007/978-3-030-20297-2
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035   $a(MiAaPQ)EBC5879988
035   $a(DE-He213)978-3-030-20297-2
035   $a(PPN)269146598
035   $a(EXLCZ)994100000009076155
100   $a20190822d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aActive Particles, Volume 2 $eAdvances in Theory, Models, and Applications /$fedited by Nicola Bellomo, Pierre Degond, Eitan Tadmor
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Birkhäuser,$d2019.
215   $a1 online resource (279 pages) $cillustrations
225 1 $aModeling and Simulation in Science, Engineering and Technology,$x2164-3679
311   $a3-030-20296-8 
327   $aKinetic 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.
330   $aThis volume compiles eight recent surveys that present state-of-the-art results in the field of active matter at different scales, modeled by agent-based, kinetic, and hydrodynamic descriptions. Following the previously published volume, these chapters were written by leading experts in the field and accurately reflect the diversity of subject matter in theory and applications. Several mathematical tools are employed throughout the volume, including analysis of nonlinear PDEs, network theory, mean field approximations, control theory, and flocking analysis. The book also covers a wide range of applications, including: Biological network formation Social systems Control theory of sparse systems Dynamics of swarming and flocking systems Stochastic particles and mean field approximations Mathematicians and other members of the scientific community interested in active matter and its many applications will find this volume to be a timely, authoritative, and valuable resource.
410  0$aModeling and Simulation in Science, Engineering and Technology,$x2164-3679
606   $aMathematical models
606   $aSystem theory
606   $aStatistical physics
606   $aDynamical systems
606   $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068
606   $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/M13090
606   $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000
606   $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090
615  0$aMathematical models.
615  0$aSystem theory.
615  0$aStatistical physics.
615  0$aDynamical systems.
615 14$aMathematical Modeling and Industrial Mathematics.
615 24$aComplex Systems.
615 24$aComplex Systems.
615 24$aStatistical Physics and Dynamical Systems.
676   $a570.15118
676   $a570.15118
702   $aBellomo$b Nicola$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aDegond$b Pierre$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aTadmor$b Eitan$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910349322303321
996   $aActive Particles, Volume 2$92508241
997   $aUNINA