Functional differential equations and age dependent population growth
dc.contributor.author | McClamroch, N. Harris | en_US |
dc.date.accessioned | 2006-04-17T16:47:25Z | |
dc.date.available | 2006-04-17T16:47:25Z | |
dc.date.issued | 1972-08 | en_US |
dc.identifier.citation | McClamroch, N. Harris (1972/08)."Functional differential equations and age dependent population growth." Mathematical Biosciences 14(3-4): 255-280. <http://hdl.handle.net/2027.42/34058> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6VHX-45GWN0G-N/2/65f275a613c052c176eefddb7824f1a0 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/34058 | |
dc.description.abstract | Growth equations are established for a population of individuals that have fixed age dependent reproduction and mortality rates. Equations are obtained both for the population density and for the numerical size of the population in a fixed age group. Age and time dependent migration is taken into consideration. The usual integral equation of renewal type for these variables is shown to be equivalent to a functional differential equation of retarded type; these differential equations are of main interest in this work. The role of initial data in characterizing a unique solution of the functional differential equation is examined in detail. Finally, some special cases for the reproduction and mortality rates are considered where the functional differential equations take a reasonably simple form. | en_US |
dc.format.extent | 864143 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 | Functional differential equations and age dependent population growth | 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 | Computer, Information, and Control Engineering, University of Michigan, Ann Arbor, Michigan, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/34058/1/0000336.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0025-5564(72)90078-8 | en_US |
dc.identifier.source | Mathematical Biosciences | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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