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Improving the approximation of the probability density function of random nonautonomous logistic-type differential equations

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Improving the approximation of the probability density function of random nonautonomous logistic-type differential equations

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Calatayud-Gregori, J.; Cortés, J.; Jornet-Sanz, M. (2019). Improving the approximation of the probability density function of random nonautonomous logistic-type differential equations. Mathematical Methods in the Applied Sciences. 42(18):7259-7267. https://doi.org/10.1002/mma.5834

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/144799

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Title: Improving the approximation of the probability density function of random nonautonomous logistic-type differential equations
Author: Calatayud-Gregori, Julia Cortés, J.-C. Jornet-Sanz, Marc
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] In this paper, we address the problem of approximating the probability density function of the following random logistic differential equation: P-'(t,omega)=A(t,omega)(1-P(t,omega))P(t,omega), t is an element of[t(0),T], ...[+]
Subjects: Mean square expansion , Probability density function , Random logistic differential equation
Copyrigths: Cerrado
Source:
Mathematical Methods in the Applied Sciences. (issn: 0170-4214 )
DOI: 10.1002/mma.5834
Publisher:
John Wiley & Sons
Publisher version: https://doi.org/10.1002/mma.5834
Project ID:
AEI/MTM2017-89664-P-AR
Thanks:
Secretaria de Estado de Investigacion, Desarrollo e Innovacion, Grant/Award Number: MTM2017-89664-P; Universitat Politecnica de Valencia, Grant/Award Number: Programa de Ayudas de Investigacion y Desarrollo
Type: Artículo

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