Nonlinear science — The impact of biology
Nonlinear science has primarily developed from applications of mathematics to physics. The biological sciences are emerging as the dominant growth points of science and technology, and biological systems are characterised by being information dense, spatially extended, organised in interacting hiera...
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| Vydáno v: | Journal of the Franklin Institute Ročník 334; číslo 5; s. 971 - 1014 |
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| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.09.1997
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| Témata: | |
| ISSN: | 0016-0032, 1879-2693 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Nonlinear science has primarily developed from applications of mathematics to physics. The biological sciences are emerging as the dominant growth points of science and technology, and biological systems are characterised by being information dense, spatially extended, organised in interacting hierarchies, and rich in diversity. These characteristics, linked with an increase in available computing power and accessible memory, may lead to a nonlinear science of complicated interacting systems that will link different types of mathematical object within a framework of many-sorted algebras. Examples, drawn from current work on intracellular, cellular, tissue, organ and integrative physiology of an individual, are outlined within the theory of synchronous concurrent algorithms. Possible directions in population dynamics and applications to ecosystem management are outlined. |
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| Bibliografie: | ObjectType-Article-2 SourceType-Scholarly Journals-2 ObjectType-Feature-1 content type line 23 SourceType-Conference Papers & Proceedings-1 ObjectType-Conference-3 |
| ISSN: | 0016-0032 1879-2693 |
| DOI: | 10.1016/S0016-0032(97)00029-X |