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<dc:title>Analysis of an efficient integrator for a size-structured population model with a dynamical resource</dc:title>
<dc:creator>Angulo Torga, Óscar</dc:creator>
<dc:creator>López Marcos, Juan Carlos</dc:creator>
<dc:creator>López Marcos, Miguel Ángel</dc:creator>
<dc:subject>Análisis numérico</dc:subject>
<dc:subject>Población</dc:subject>
<dc:description>Producción Científica</dc:description>
<dc:description>In this paper, an efficient numerical method for the approximation of a nonlinear size-structured population model is presented. The nonlinearity of the model is given by dependency on the environment through the consumption of a dynamical resource. We analyse the properties of the numerical scheme and optimal second-order convergence is derived. We report experiments with academical tests to demonstrate numerically the predicted accuracy of the scheme. The model is applied to solve a biological problem: the dynamics of an ectothermic population (the water flea, Daphnia magna). We analyse its long time evolution and describe the asymptotically stable steady states, both equilibria and limit cycles.</dc:description>
<dc:date>2016-12-07T08:37:17Z</dc:date>
<dc:date>2016-12-07T08:37:17Z</dc:date>
<dc:date>2014</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>Computers &amp; Mathematics with Applications, Vol. 68, Issue 9, November 2014, p.941–961</dc:identifier>
<dc:identifier>0898-1221</dc:identifier>
<dc:identifier>http://uvadoc.uva.es/handle/10324/21455</dc:identifier>
<dc:identifier>10.1016/j.camwa.2014.04.009</dc:identifier>
<dc:identifier>941</dc:identifier>
<dc:identifier>9</dc:identifier>
<dc:identifier>961</dc:identifier>
<dc:identifier>Computers and Mathematics with Applications</dc:identifier>
<dc:identifier>68</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>www.elsevier.com/locate/camwa</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
<dc:publisher>Elsevier</dc:publisher>
<dc:peerreviewed>SI</dc:peerreviewed>
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