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Hyperbolic and kinetic models for self-organised biological aggregations = a modelling and pattern formation approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Hyperbolic and kinetic models for self-organised biological aggregations/ by Raluca Eftimie.
其他題名:	a modelling and pattern formation approach /
作者:	Eftimie, Raluca.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xiii, 280 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Biology - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-030-02586-1
ISBN:	9783030025861

Hyperbolic and kinetic models for self-organised biological aggregations = a modelling and pattern formation approach /
Eftimie, Raluca.

Hyperbolic and kinetic models for self-organised biological aggregationsa modelling and pattern formation approach /[electronic resource] :by Raluca Eftimie. - Cham :Springer International Publishing :2018. - xiii, 280 p. :ill. (some col.), digital ;24 cm. - Lecture notes in mathematics,22320075-8434 ;. - Lecture notes in mathematics ;1943..

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

Standard No.: 10.1007/978-3-030-02586-1doiSubjects--Topical Terms:

528533
Biology
--Mathematical models.

LC Class. No.: QH323.5 / .E385 2018

Dewey Class. No.: 570.15118

Hyperbolic and kinetic models for self-organised biological aggregations = a modelling and pattern formation approach /
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