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Quasilinearization and the estimation of chemical rate constants from raw kinetic data

dc.contributor.authorBellman, Richarden_US
dc.contributor.authorJacquez, J.en_US
dc.contributor.authorKalaba, R.en_US
dc.contributor.authorSchwimmer, S.en_US
dc.date.accessioned2006-04-17T16:12:13Z
dc.date.available2006-04-17T16:12:13Z
dc.date.issued1967-03en_US
dc.identifier.citationBellman, Richard, Jacquez, J., Kalaba, R., Schwimmer, S. (1967/03)."Quasilinearization and the estimation of chemical rate constants from raw kinetic data." Mathematical Biosciences 1(1): 71-76. <http://hdl.handle.net/2027.42/33352>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VHX-45GWN1C-19/2/bba552fc54507fc495bddddbe827fb43en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/33352
dc.description.abstractA technique for estimating chemical rate constants from raw kinetic data is suggested. Such problems are viewed as nonlinear multipoint boundary-value problems for systems of nonlinear ordinary differential equations, for which the quasilinearization procedure offers an affective means of numerical solution. The method is illustrated using kinetic data obtained by Bodenstein and Lindler on some gas phase reactions of nitrogen and oxygen.en_US
dc.format.extent384439 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleQuasilinearization and the estimation of chemical rate constants from raw kinetic dataen_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.affiliationumUniversity of Michigan, Ann Arbor, USAen_US
dc.contributor.affiliationotherUniversity of Southern California, Los Angeles, USAen_US
dc.contributor.affiliationotherThe RAND Corporation, Santa Monica, California, USAen_US
dc.contributor.affiliationotherhe RAND Corporation, Santa Monica, California, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/33352/1/0000750.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0025-5564(67)90027-2en_US
dc.identifier.sourceMathematical Biosciencesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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