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Combined Discrete and Continual Approaches in Biological Modelling

About Combined Discrete and Continual Approaches in Biological Modelling

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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  • Language:
  • English
  • ISBN:
  • 9783030415273
  • Binding:
  • Hardback
  • Pages:
  • 317
  • Published:
  • June 30, 2020
  • Edition:
  • 2020
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 731 g.
Delivery: 2-4 weeks
Expected delivery: October 3, 2025

Description of Combined Discrete and Continual Approaches in Biological Modelling

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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