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Combined discrete and continual appr...

Filippov, Alexander E.

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Combined discrete and continual approaches in biological modelling

Record Type:	Electronic resources : Monograph/item
Title/Author:	Combined discrete and continual approaches in biological modelling/ by Alexander E. Filippov, Stanislav N. Gorb.
Author:	Filippov, Alexander E.
other author:	Gorb, Stanislav N.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xviii, 317 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Introduction -- Chapter 2. Various methods of pattern formation -- Chapter 3. Clusterization of biological structures with high aspect ratio -- Chapter 4. Contact between biological attachment devices and rough -- Chapter 5. Anisotropic friction in biological systems -- Chapter 6. Mechanical interlocking of biological fasteners -- Chapter 7. Biomechanics at the microscale -- Chapter 8. Nanoscale pattern formation in biological surfaces -- Chapter 9. Ecology and evolution.
Contained By:	Springer Nature eBook
Subject:	Biological models. -
Online resource:	https://doi.org/10.1007/978-3-030-41528-0
ISBN:	9783030415280

Combined discrete and continual approaches in biological modelling
Filippov, Alexander E.

Combined discrete and continual approaches in biological modelling[electronic resource] /by Alexander E. Filippov, Stanislav N. Gorb. - Cham :Springer International Publishing :2020. - xviii, 317 p. :ill., digital ;24 cm. - Biologically-inspired systems,v.162211-0593 ;. - Biologically-inspired systems ;v.16..

Chapter 1. Introduction -- Chapter 2. Various methods of pattern formation -- Chapter 3. Clusterization of biological structures with high aspect ratio -- Chapter 4. Contact between biological attachment devices and rough -- Chapter 5. Anisotropic friction in biological systems -- Chapter 6. Mechanical interlocking of biological fasteners -- Chapter 7. Biomechanics at the microscale -- Chapter 8. Nanoscale pattern formation in biological surfaces -- Chapter 9. Ecology and evolution.

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.

ISBN: 9783030415280

Standard No.: 10.1007/978-3-030-41528-0doiSubjects--Topical Terms:

577813
Biological models.

LC Class. No.: QH324.8 / .F55 2020

Dewey Class. No.: 570.113

Combined discrete and continual approaches in biological modelling
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245 1 0 $a Combined discrete and continual approaches in biological modelling $h [electronic resource] / $c by Alexander E. Filippov, Stanislav N. Gorb.
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505 0 $a Chapter 1. Introduction -- Chapter 2. Various methods of pattern formation -- Chapter 3. Clusterization of biological structures with high aspect ratio -- Chapter 4. Contact between biological attachment devices and rough -- Chapter 5. Anisotropic friction in biological systems -- Chapter 6. Mechanical interlocking of biological fasteners -- Chapter 7. Biomechanics at the microscale -- Chapter 8. Nanoscale pattern formation in biological surfaces -- Chapter 9. Ecology and evolution.
520 $a 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.
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