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Collective dynamics from bacteria to crowds [[electronic resource] ] : an excursion through modeling, analysis and simulation / / edited by Adrian Muntean, Federico Toschi



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Titolo: Collective dynamics from bacteria to crowds [[electronic resource] ] : an excursion through modeling, analysis and simulation / / edited by Adrian Muntean, Federico Toschi Visualizza cluster
Pubblicazione: Vienna : , : Springer Vienna : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (182 p.)
Disciplina: 531
Soggetto topico: Statistical physics
Dynamical systems
Computational complexity
Biomathematics
Complex Systems
Complexity
Mathematical and Computational Biology
Statistical Physics and Dynamical Systems
Persona (resp. second.): MunteanAdrian
ToschiFederico
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: The derivation of swarming models: mean-field limit and Wasserstein distances -- Non-smooth evolution models in crowd dynamics: mathematical and numerical issues -- Pedestrians moving in the dark: balancing measures and playing games on lattices -- Stochastic competition between two populations in space -- Discrete and continuum dynamics of reacting and interacting individuals -- Multiscale crowd dynamics: modeling and theory.
Sommario/riassunto: Multiscale models in social applications combine mean-field and kinetic equations with either microscopic or macroscopic level descriptions. In this book the reader will find not only a wide spectrum of multiscale analysis results (like convergence proofs), but also practically important information such as derivations of mean-field equations, methods to handle hard contacts numerically, to model group behavior, to quantitative estimate microscopic/macroscopic segregation of competing species, to quantitative understand the limits of validity of mass-action kinetics for simple reactions.
Titolo autorizzato: Collective Dynamics from Bacteria to Crowds  Visualizza cluster
ISBN: 3-7091-1785-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299732203321
Lo trovi qui: Univ. Federico II
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Serie: CISM International Centre for Mechanical Sciences, Courses and Lectures, . 0254-1971 ; ; 553