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Recasting nonlinear differential equations as S-systems: a canonical nonlinear form

dc.contributor.authorSavageau, Michael A.en_US
dc.contributor.authorVoit, Eberhard O.en_US
dc.date.accessioned2006-04-07T19:46:13Z
dc.date.available2006-04-07T19:46:13Z
dc.date.issued1987-11en_US
dc.identifier.citationSavageau, Michael A., Voit, Eberhard O. (1987/11)."Recasting nonlinear differential equations as S-systems: a canonical nonlinear form." Mathematical Biosciences 87(1): 83-115. <http://hdl.handle.net/2027.42/26514>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VHX-45F5T8F-18/2/1836e872596eab1cb341c8238c23e117en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/26514
dc.description.abstractAn enormous variety of nonlinear differential equations and functions have been recast exactly in the canonical form called an S-system. This is a system of nonlinear ordinary differential equations, each with the same structure: the change in a variable is equal to a difference of products of power-law functions. We review the development of S-systems, prove that the minimum for the range of equations that can be recast as S-systems consists of all equations composed of elementary functions and nested elementary functions of elementary functions, give a detailed example of the recasting process, and discuss the theoretical and practical implications. Among the latter is the ability to solve numerically nonlinear ordinary differential equations in their S-system form significantly faster than in their original form through utilization of a specially designed algorithm.en_US
dc.format.extent1795766 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleRecasting nonlinear differential equations as S-systems: a canonical nonlinear formen_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 USAen_US
dc.contributor.affiliationumDepartment of Microbiology and Immunology, The University of Michigan, Ann Arbor, Michigan 48109 USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/26514/1/0000052.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0025-5564(87)90035-6en_US
dc.identifier.sourceMathematical Biosciencesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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