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Growth equations: A general equation and a survey of special cases

dc.contributor.authorSavageau, Michael A.en_US
dc.date.accessioned2006-04-07T17:25:52Z
dc.date.available2006-04-07T17:25:52Z
dc.date.issued1980-04en_US
dc.identifier.citationSavageau, 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.urihttp://www.sciencedirect.com/science/article/B6VHX-45F6333-J/2/7acad144942bde872f0af59647242f3den_US
dc.identifier.urihttps://hdl.handle.net/2027.42/23278
dc.description.abstractAlthough 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.extent629581 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleGrowth equations: A general equation and a survey of special casesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Microbiology and Immunology, The University of Michigan, Ann Arbor, Michigan 48109, USA.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/23278/1/0000215.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0025-5564(80)90061-9en_US
dc.identifier.sourceMathematical Biosciencesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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