Combined Discrete and Continual Approaches in Biological Modelling von Alexander E. Filippov | ISBN 9783030415280

Combined Discrete and Continual Approaches in Biological Modelling

von Alexander E. Filippov und Stanislav N. Gorb
Mitwirkende
Autor / AutorinAlexander E. Filippov
Autor / AutorinStanislav N. Gorb
Buchcover Combined Discrete and Continual Approaches in Biological Modelling | Alexander E. Filippov | EAN 9783030415280 | ISBN 3-030-41528-7 | ISBN 978-3-030-41528-0

“The book is generously illustrated with both black-and-white and color figures; it has a useful list of references and a detailed index. The monograph is a valuable contribution to existing literature and would be of interest for researchers working in related areas. The book promotes novel ideas regarding self-organization and dynamics of complex biological systems and suggests new approaches to mathematical modeling of such systems leading to a better understanding of the living nature around us.” (Yuriy V. Rogovchenko, Mathematical Reviews, January, 2023)
“The expository style adopted in the book is quite unique … . Each chapter begins with an abstract, which prepares the reader to better absorb the mathematical details that follow. The chapters are quite self-contained and can be read independently. … The book is suitable for undergraduate mathematical sciences and engineeringstudents who will benefit from learning … core physical principles. The wide variety of examples could be beneficial to the quantitative-minded biology students and the advanced researchers as well.” (Wasiur Rahman Khuda Bukhsh, zbMATH 1478.92002, 2022)

Combined Discrete and Continual Approaches in Biological Modelling

von Alexander E. Filippov und Stanislav N. Gorb
Mitwirkende
Autor / AutorinAlexander E. Filippov
Autor / AutorinStanislav N. Gorb

Basic laws of nature are rather simple, but observed biological structures and their dynamic behaviors are unbelievably complicated. This book is devoted to a study of this “strange” relationship by applying mathematical modeling to various structures and phenomena in biology, such as surface patterns, bioadhesion, locomotion, predator-prey behavior, seed dispersal, etc. and revealing a kind of self-organization in these phenomena. In spite of diversity of biological systems considered, two main questions are (1) what does self-organization in biology mean mathematically and (2) how one can apply this knowledge to generate new knowledge about behavior of particular biological system? We believe that this kind of “biomimetics” in computer will lead to better understanding of biological phenomena and possibly towards development of technical implications based on our modeling.