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Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters

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Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters

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Bevia, V.; Burgos, C.; Cortés, J.; Navarro-Quiles, A.; Villanueva Micó, RJ. (2020). Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters. Chaos, Solitons and Fractals. 138:1-12. https://doi.org/10.1016/j.chaos.2020.109908

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Título: Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters
Autor: Bevia, V. Burgos, C. Cortés, J.-C. Navarro-Quiles, A. Villanueva Micó, Rafael Jacinto
Entidad UPV: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària
Fecha difusión:
Resumen:
[EN] In spite of its simple formulation via a nonlinear differential equation, the Gompertz model has been widely applied to describe the dynamics of biological and biophysical parts of complex systems (growth of living ...[+]
Palabras clave: Random nonlinear differential equation , Continuity partial differential equation , Liouville-Gibbs theorem , Randomized Gompertz model , Complex systems with uncertainties
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Chaos, Solitons and Fractals. (issn: 0960-0779 )
DOI: 10.1016/j.chaos.2020.109908
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.chaos.2020.109908
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89664-P/ES/PROBLEMAS DINAMICOS CON INCERTIDUMBRE SIMULABLE: MODELIZACION MATEMATICA, ANALISIS, COMPUTACION Y APLICACIONES/
Agradecimientos:
This work has been supported by the Spanish Ministerio de Economia, Industria y Competitividad (MINECO), the Agencia Estatal de Investigacion (AEI) and Fondo Europeo de Desarrollo Regional (FEDER UE) grant MTM2017-89664-P.[+]
Tipo: Artículo

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