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Hyperbolic and Kinetic Models for Self-organised Biological Aggregations : A Modelling and Pattern Formation Approach / / by Raluca Eftimie



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Autore: Eftimie Raluca Visualizza persona
Titolo: Hyperbolic and Kinetic Models for Self-organised Biological Aggregations : A Modelling and Pattern Formation Approach / / by Raluca Eftimie Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XIII, 280 p. 73 illus., 59 illus. in color.)
Disciplina: 570.151
570.15118
Soggetto topico: Biomathematics
Ecology 
Partial differential equations
Numerical analysis
Community ecology, Biotic
Mathematics
Mathematical and Computational Biology
Theoretical Ecology/Statistics
Partial Differential Equations
Numerical Analysis
Community & Population Ecology
Mathematics of Planet Earth
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: This book focuses on the spatio-temporal patterns generated by two classes of mathematical models (of hyperbolic and kinetic types) that have been increasingly used in the past several years to describe various biological and ecological communities. Here we combine an overview of various modelling approaches for collective behaviours displayed by individuals/cells/bacteria that interact locally and non-locally, with analytical and numerical mathematical techniques that can be used to investigate the spatio-temporal patterns produced by said individuals/cells/bacteria. Richly illustrated, the book offers a valuable guide for researchers new to the field, and is also suitable as a textbook for senior undergraduate or graduate students in mathematics or related disciplines.
Titolo autorizzato: Hyperbolic and kinetic models for self-organised biological aggregations  Visualizza cluster
ISBN: 3-030-02586-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910309664503321
Lo trovi qui: Univ. Federico II
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Serie: Mathematical Biosciences Subseries, . 2524-6771 ; ; 2232