Analysis and Numerics for an Age- and Sex-Structured Population Model


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POKOJOVY, Michael, Yevhenii SKVARKOVSKYI, 2016. Analysis and Numerics for an Age- and Sex-Structured Population Model. In: Numerical Methods for Partial Differential Equations. 32(2), pp. 706-736. ISSN 0749-159X. eISSN 1098-2426. Available under: doi: 10.1002/num.22032

@article{Pokojovy2016Analy-29178, title={Analysis and Numerics for an Age- and Sex-Structured Population Model}, year={2016}, doi={10.1002/num.22032}, number={2}, volume={32}, issn={0749-159X}, journal={Numerical Methods for Partial Differential Equations}, pages={706--736}, author={Pokojovy, Michael and Skvarkovskyi, Yevhenii} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:creator>Skvarkovskyi, Yevhenii</dc:creator> <dcterms:title>Analysis and Numerics for an Age- and Sex-Structured Population Model</dcterms:title> <dc:date rdf:datatype="">2016-03-01T14:54:04Z</dc:date> <bibo:uri rdf:resource=""/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dspace:isPartOfCollection rdf:resource=""/> <dc:creator>Pokojovy, Michael</dc:creator> <dcterms:issued>2016</dcterms:issued> <dcterms:isPartOf rdf:resource=""/> <dc:language>eng</dc:language> <dcterms:available rdf:datatype="">2016-03-01T14:54:04Z</dcterms:available> <dc:contributor>Pokojovy, Michael</dc:contributor> <dc:contributor>Skvarkovskyi, Yevhenii</dc:contributor> <dcterms:abstract xml:lang="eng">We study a linear model of McKendrick-von Foerster-Keyfitz type for the temporal development of the age structure of a two-sex human population. For the underlying system of partial integro-differential equations, we exploit the semigroup theory to show the classical well-posedness and asymptotic stability in a Hilbert space framework under appropriate conditions on the age-specific mortality and fertility moduli. Finally, we propose an implicit finite difference scheme to numerically solve this problem and prove its convergence under minimal regularity assumptions. A real data application is also given.</dcterms:abstract> </rdf:Description> </rdf:RDF>

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