Quasilinearization and the estimation of chemical rate constants from raw kinetic data
dc.contributor.author | Bellman, Richard | en_US |
dc.contributor.author | Jacquez, J. | en_US |
dc.contributor.author | Kalaba, R. | en_US |
dc.contributor.author | Schwimmer, S. | en_US |
dc.date.accessioned | 2006-04-17T16:12:13Z | |
dc.date.available | 2006-04-17T16:12:13Z | |
dc.date.issued | 1967-03 | en_US |
dc.identifier.citation | Bellman, 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.uri | http://www.sciencedirect.com/science/article/B6VHX-45GWN1C-19/2/bba552fc54507fc495bddddbe827fb43 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/33352 | |
dc.description.abstract | A 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.extent | 384439 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 | Quasilinearization and the estimation of chemical rate constants from raw kinetic data | 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 | University of Michigan, Ann Arbor, USA | en_US |
dc.contributor.affiliationother | University of Southern California, Los Angeles, USA | en_US |
dc.contributor.affiliationother | The RAND Corporation, Santa Monica, California, USA | en_US |
dc.contributor.affiliationother | he RAND Corporation, Santa Monica, California, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/33352/1/0000750.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0025-5564(67)90027-2 | en_US |
dc.identifier.source | Mathematical Biosciences | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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