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    • DEP51 - Artículos de revista
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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/21436

    Título
    A second-order numerical method for a cell population model with asymmetric division
    Autor
    Angulo Torga, ÓscarAutoridad UVA Orcid
    López Marcos, Juan CarlosAutoridad UVA Orcid
    López Marcos, Miguel ÁngelAutoridad UVA Orcid
    Año del Documento
    2017
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Journal of Computational and Applied Mathematics 309 (2017) 522-531
    Abstract
    Population balance models represent an accurate and general way of describing the complicated dynamics of cell growth. In this paper we study the numerical integration of a model for the evolution of a size-structured cell population with asymmetric division. We present and analyze a novel and efficient second-order numerical method based on the integration along the characteristic curves. We prove the optimal rate of convergence of the scheme andweratify it by numerical simulation. Finally,weshow that the numerical scheme serves as a valuable tool in order to approximate the stable size distribution of the model.
    Materias (normalizadas)
    Análisis numérico
    Población
    Revisión por pares
    SI
    DOI
    10.1016/j.cam.2016.03.008
    Patrocinador
    Junta de Castilla y León (programa de apoyo a proyectos de investigación – Ref. VA191U13)
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/21436
    Derechos
    openAccess
    Collections
    • DEP51 - Artículos de revista [145]
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    Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcept where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International

    Universidad de Valladolid

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