0000000000451278

AUTHOR

A. Navarro-quiles

0000-0003-3800-072x

showing 3 related works from this author

A comprehensive probabilistic analysis of approximate SIR‐type epidemiological models via full randomized discrete‐time Markov chain formulation with…

2020

Spanish Ministerio de Economia y Competitividad, Grant/Award Number: MTM2017-89664-P; Generalitat Valenciana, Grant/Award Number: APOSTD/2019/128; Ministerio de Economia y Competitividad, Grant/Award Number: MTM2017-89664-P

010101 applied mathematicsDiscrete mathematicsMarkov chainDiscrete time and continuous timeGeneral Mathematics010102 general mathematicsGeneral EngineeringProbabilistic analysis of algorithms0101 mathematicsType (model theory)01 natural sciencesMathematicsMathematical Methods in the Applied Sciences
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Probabilistic solution of a homogeneous linear second-order differential equation with randomized complex coefficients

2022

In this paper, an exact expression for the first probability density function of the solution stochastic process to a randomized homogeneous linear second-order complex differential equation is determined. To complete the probabilistic analysis, the first probability density functions of the real and complex contributions of the solution stochastic process are also calculated. To compute the densities, the random variable transformation method is applied under general hypothesis, all coefficients and initial conditions are absolutely continuous complex random variables. The capability of the theoretical results established is demonstrated by several numerical examples. Finally, we show the …

Estadística matemàticaNuclear Energy and EngineeringMechanical EngineeringAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsEstadísticaCondensed Matter PhysicsCivil and Structural EngineeringProbabilistic Engineering Mechanics
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Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters

2020

[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 organisms, number of bacteria, volume of infected cells, etc.). Its parameters or coefficients and the initial condition represent biological quantities (usually, rates and number of individual/particles, respectively) whose nature is random rather than deterministic. In this paper, we present a complete uncertainty quantification analysis of the randomized Gomperz model via the computation of an explicit expression to the first probability density function of its solution s…

Continuity partial differential equationStationary distributionDynamical systems theoryStochastic processGeneral MathematicsApplied MathematicsGompertz functionProbabilistic logicGeneral Physics and AstronomyStatistical and Nonlinear PhysicsProbability density function01 natural sciences010305 fluids & plasmasComplex systems with uncertainties0103 physical sciencesLiouville-Gibbs theoremApplied mathematicsInitial value problemUncertainty quantificationRandom nonlinear differential equationMATEMATICA APLICADA010301 acousticsMathematicsRandomized Gompertz model
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