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Efficient solution of nonlinear models expressed in S-system canonical form

dc.contributor.authorIrvine, Douglas H.en_US
dc.date.accessioned2006-04-07T20:28:41Z
dc.date.available2006-04-07T20:28:41Z
dc.date.issued1988en_US
dc.identifier.citationIrvine, Douglas H. (1988)."Efficient solution of nonlinear models expressed in S-system canonical form." Mathematical and Computer Modelling 11(): 123-128. <http://hdl.handle.net/2027.42/27485>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V0V-45GVR9V-5R/2/f992a9f3c908f0004b191b8ae9733fccen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/27485
dc.description.abstractThe S-system is emerging as a general canonical form for analysis of nonlinear models. Models expressed within this regularly structured system of nonlinear ordinary differential equations are obtained by applying either of two different strategies: (A) Direct derivation of an S-system utilizing the Power Law Formalism; or (B) exact recasting of an existing, well established model into S-system form. By capitalizing on the regular structure of S-systems, efficient formulas for numerical solution of this general class have been developed. For any S-system it can be shown that these formulas are more efficient than conventional multistep formulas of the same order. For implemented methods, the actual improvements in efficiency are considerably more than the minimum estimates. Preliminary tests show that time required for solution of S-systems is reduced by one or two orders of magnitude -- the relative improvement in efficiency increases with size and complexity of the problem, and with degree of accuracy required.en_US
dc.format.extent660772 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleEfficient solution of nonlinear models expressed in S-system canonical formen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Microbiology and Immunology, The University of Michigan, Ann Arbor, MI 48109 USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/27485/1/0000528.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0895-7177(88)90466-9en_US
dc.identifier.sourceMathematical and Computer Modellingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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