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

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 a...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Eftimie, Raluca (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Mathematical Biosciences Subseries, 2232
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Hyperbolic and Kinetic Models for Self-organised Biological Aggregations  |h [electronic resource] :  |b A Modelling and Pattern Formation Approach /  |c by Raluca Eftimie. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XIII, 280 p. 73 illus., 59 illus. in color.  |b online resource. 
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490 1 |a Mathematical Biosciences Subseries,  |x 2524-6771 ;  |v 2232 
520 |a 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. 
650 0 |a Biomathematics. 
650 0 |a Ecology . 
650 0 |a Partial differential equations. 
650 0 |a Numerical analysis. 
650 0 |a Community ecology, Biotic. 
650 0 |a Mathematics. 
650 1 4 |a Mathematical and Computational Biology.  |0 http://scigraph.springernature.com/things/product-market-codes/M31000 
650 2 4 |a Theoretical Ecology/Statistics.  |0 http://scigraph.springernature.com/things/product-market-codes/L19147 
650 2 4 |a Partial Differential Equations.  |0 http://scigraph.springernature.com/things/product-market-codes/M12155 
650 2 4 |a Numerical Analysis.  |0 http://scigraph.springernature.com/things/product-market-codes/M14050 
650 2 4 |a Community & Population Ecology.  |0 http://scigraph.springernature.com/things/product-market-codes/L19120 
650 2 4 |a Mathematics of Planet Earth.  |0 http://scigraph.springernature.com/things/product-market-codes/M36000 
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776 0 8 |i Printed edition:  |z 9783030025854 
776 0 8 |i Printed edition:  |z 9783030025878 
830 0 |a Mathematical Biosciences Subseries,  |x 2524-6771 ;  |v 2232 
856 4 0 |u https://doi.org/10.1007/978-3-030-02586-1  |z Full Text via HEAL-Link 
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912 |a ZDB-2-LNM 
950 |a Mathematics and Statistics (Springer-11649)