Growth equations: A general equation and a survey of special cases
dc.contributor.author | Savageau, Michael A. | en_US |
dc.date.accessioned | 2006-04-07T17:25:52Z | |
dc.date.available | 2006-04-07T17:25:52Z | |
dc.date.issued | 1980-04 | en_US |
dc.identifier.citation | Savageau, Michael A. (1980/04)."Growth equations: A general equation and a survey of special cases." Mathematical Biosciences 48(3-4): 267-278. <http://hdl.handle.net/2027.42/23278> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6VHX-45F6333-J/2/7acad144942bde872f0af59647242f3d | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/23278 | |
dc.description.abstract | Although growth in its various manifestations has been studied for centuries and although there are a large number of well-established growth "laws," that work is almost entirely empirical and lacks a theoretical foundation with which macroscopic aspects of growth might be related to underlying, microscopic determinants. Recent work on the analysis of complex systems, however, has provided just such a foundation. It has been shown that an important class of complex systems can be accurately described by a formalism involving simple nonlinear approximations. This formalism leads naturally to a general growth equation in differential form for complex systems. The survey of well-established growth equations presented here demonstrates that each of these is a special case of the general growth equation. | en_US |
dc.format.extent | 629581 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Growth equations: A general equation and a survey of special cases | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbsecondlevel | Biological Chemistry | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Microbiology and Immunology, The University of Michigan, Ann Arbor, Michigan 48109, USA. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/23278/1/0000215.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0025-5564(80)90061-9 | en_US |
dc.identifier.source | Mathematical Biosciences | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.