Combined Discrete and Continual Approaches in Biological Modelling / by Alexander E. Filippov, Stanislav N. Gorb
By: Filippov, Alexander E., autor
Contributor(s): Gorb, Stanislav N., autor
Material type:
E-bookSeries: (Biologically-Inspired Systems, 2211-0593; 16); (Biomedical and Life Sciences (SpringerNature-11642)); (Biomedical and Life Sciences (R0) (SpringerNature-43708)).Publisher: Cham : Imprint: Springer, 2020Publisher: Cham : Springer International Publishing, 2020Edition: First edition.Description: 1 recurso en línea (XVIII, 317 páginas) : 151 ilustraciones, 69 ilustraciones a color.ISBN: 9783030415280.Subject: Biotecnología
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QH324.8 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.03082062 |
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.
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