Hyperbolic and kinetic models for self-organised biological aggregations [e-book] : a modelling and pattern formation approach / by Raluca Eftimie

• Autore: Eftimie, Raluca
• Pubblicazione: Cham : Springer, [2018?]
• Descrizione fisica: 1 online resource (xiii, 280 pages) : illustrations (some color)
• Disciplina: 570.285
• Titolo uniforme di collana: Lecture notes in mathematics ; 2232; Lecture notes in mathematics. Mathematical biosciences subseries
• Soggetto topico: Ecology; Differential equations, partial; Numerical analysis
• Classificazione: AMS 92C15
• Nota di bibliografia: Includes bibliographical references and index
• Nota di contenuto: Introduction ; A Short Introduction to One-Dimensional Conservation Laws ; One-Equation Local Hyperbolic Models ; Local Hyperbolic/Kinetic Systems in 1D ; Nonlocal Hyperbolic Models in 1D ; Multi-Dimensional Transport Equations ; Numerical Approaches for Kinetic and Hyperbolic Models ; A Few Notions of Stability and Bifurcation Theory ; Discussion and Further Open Problems
• 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
• ISBN: 9783030025861
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 991003634489707536
• Lo trovi qui: Univ. del Salento
• Localizzazioni e accesso elettronico: http://link.springer.com/10.1007/978-3-030-02586-1
• Serie: Lecture notes in mathematics ; 2232; Lecture notes in mathematics. Mathematical biosciences subseries; Lecture notes in mathematics, 2524-6771 ; 2232