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Listar por autor "Roselló Ferragud, María Dolores"

Mostrando ítems 1-20 de 87

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A comparative study to the numerical approximation of random Airy differential equation

Cortés López, Juan Carlos; Jódar Sánchez, Lucas Antonio; Romero Bauset, José Vicente; Roselló Ferragud, María Dolores (Elsevier, 2011-11)

The aim of this paper is twofold. First, we deal with the extension to the random framework of the piecewise Fröbenius method to solve Airy differential equations. This extension is based on mean square stochastic calculus. ...
A comprehensive probabilistic solution of random SIS-type epidemiological models using the Random Variable Transformation technique

Casabán, M.C.; Cortés, J.-C.; Navarro-Quiles, A.; Romero, José-Vicente; Roselló, María-Dolores; Villanueva Micó, Rafael Jacinto (Elsevier, 2016)

[EN] This paper provides a complete probabilistic description of SIS-type epidemiological models where all the input parameters (contagion rate, recovery rate and initial conditions) are assumed to be random variables. By ...
A full probabilistic analysis of a randomized kinetic model for reaction-deactivation of hydrogen peroxide decomposition with applications to real data

Cortés, J.-C.; Navarro-Quiles, A.; Romero, José-Vicente; Roselló, María-Dolores (Springer-Verlag, 2021-04-15)

[EN] The classical kinetic equation has been broadly used to describe reaction and deactivation processes in chemistry. The mathematical formulation of this deterministic nonlinear differential equation depends on reaction ...
A probabilistic analysis of a Beverton-Holt type discrete model: Theoretical and computing analysis

Cortés, J.-C.; Navarro-Quiles, A.; Romero, José-Vicente; Roselló, María-Dolores (John Wiley & Sons, 2019)

[EN] In this paper a randomized version of the Beverton-Holt type discrete model is proposed. Its solution stochastic process and the random steady state are determined. Its first probability density function and second ...
Analysing nonlinear oscillators subject to Gaussian inputs via the random perturbation technique

Cortés, J.-C.; López-Navarro, E.; Romero, José-Vicente; Roselló, María-Dolores (2020-07-10)

[EN] The aim of this paper is to perform a stochastic analysis of nonlinear oscillators subject to stationary Gaussian forcing sources using the random perturbation technique along with the Maximum Entropy Principle. By ...
Analysis of finite dimensional linear control systems subject to uncertainties via probabilistic densities

Cortés, J.-C.; Navarro-Quiles, A.; Romero, José-Vicente; Roselló, María-Dolores (R. Company, J. C. Cortés, L. Jódar and E. López-Navarro, 2019-07-12)
Analysis of random non-autonomous logistic-type differential equations via the Karhunen-Loeve expansion and the Random Variable Transformation technique

Cortés, J.-C.; Navarro-Quiles, A.; Romero, José-Vicente; Roselló, María-Dolores (Elsevier, 2019)

[EN] This paper deals with the study, from a probabilistic point of view, of logistic-type differential equations with uncertainties. We assume that the initial condition is a random variable and the diffusion coefficient ...
Applying the Wiener-Hermite random technique to study the evolution of excess weight population in the region of Valencia (Spain)

Cortés López, Juan Carlos; Romero Bauset, José Vicente; Roselló Ferragud, María Dolores; Villanueva Micó, Rafael Jacinto (Scientific Research Publishing, 2012)

This paper proposes a stochastic model to study the evolution of normal and excess weight population between 24 - 65 years old in the region of Valencia (Spain). An approximate solution process of the random model is ...
Approximating the Density of Random Differential Equations with Weak Nonlinearities via Perturbation Techniques

Cortés, J.-C.; López-Navarro, Elena; Romero, José-Vicente; Roselló, María-Dolores (MDPI AG, 2021-01-20)

[EN] We combine the stochastic perturbation method with the maximum entropy principle to construct approximations of the first probability density function of the steady-state solution of a class of nonlinear oscillators ...
Approximating the solution stochastic process of the random Cauchy one-dimensional heat model

Navarro Quiles, A.; Romero, J.V.; Roselló, M.D.; Sohaly, M.A. (Hindawi Publishing Corporation, 2016)

[EN] This paper deals with the numerical solution of the random Cauchy one-dimensional heat model. We propose a random finite difference numerical scheme to construct numerical approximations to the solution stochastic ...
Clase inversa en prácticas informáticas de Matemáticas - Ingeniería Aeroespacial

Capilla Romá, Maria Teresa; García Mora, María Belén; Moll López, Santiago Emmanuel; Moraño Fernández, José Antonio; Roselló Ferragud, María Dolores; Sánchez Ruiz, Luis Manuel (Editorial Universitat Politècnica de València, 2015-07-10)

[EN] Technical University of Valencia (UPV) has initiated a strong commitment with the so-called flipped classroom methodology during the academic year 2014-15. For this task, UPV started from an advantageous position ...
Comparación de los métodos directos de resolución de SEL con Gauss-Seidel

Romero Bauset, José Vicente; Blanes Zamora, Sergio; Cortés López, Juan Carlos; Roselló Ferragud, María Dolores (Universitat Politècnica de València, 2013-06-26)

Consideramos el sistema de ecuaciones lineales, M x = d, con M la matriz de Hilbert de tamaño n y d la suma de la filas de M. El sistema anterior se resolverá usando los algoritmos de Gauss-Seidel y métodos directos. Se ...
COMPUTATIONAL METHODS FOR RANDOM DIFFERENTIAL EQUATIONS: THEORY AND APPLICATIONS

Navarro Quiles, Ana (Universitat Politècnica de València, 2018-03-01)

Desde las contribuciones de Isaac Newton, Gottfried Wilhelm Leibniz, Jacob y Johann Bernoulli en el siglo XVII hasta ahora, las ecuaciones en diferencias y las diferenciales han demostrado su capacidad para modelar ...
Computational study of the cavitation phenomenon and its interaction with the turbulence developed in diesel injector nozzles by Large Eddy Simulation (LES)

Salvador Rubio, Francisco Javier; Martínez López, Jorge; Romero Bauset, José Vicente; Roselló Ferragud, María Dolores (Elsevier, 2013-04)

Firstly, the code has been validated at real operating diesel engine conditions with experimental data in terms of mass flow, momentum flux and effective velocity, showing that the model is able to predict with a high level ...
Computing probabilistic solutions of the Bernoulli random differential equation

Casabán, M.-C.; Cortés, J.-C.; Navarro-Quiles, A.; Romero, José-Vicente; Roselló, María-Dolores; Villanueva Micó, Rafael Jacinto (Elsevier, 2017)

[EN] The random variable transformation technique is a powerful method to determine the probabilistic solution for random differential equations represented by the first probability density function of the solution stochastic ...
Computing the probability density function of non-autonomous first-order linear homogeneous differential equations with uncertainty

Cortés, J.-C.; Navarro-Quiles, A.; Romero, José-Vicente; Roselló, María-Dolores (Elsevier, 2018)

[EN] This paper is devoted to construct approximations of the probability density function of the non-autonomous first-order homogeneous linear random diff erential equation, where the initial condition and the diff usion ...
Computing the two first probability density functions of the random Cauchy-Euler differential equation: Study about regular-singular points

Cortés, J.-C.; Navarro-Quiles, A.; Romero, José-Vicente; Roselló, María-Dolores (UP4 Institute of Sciences, S.L., 2017)

[EN] In this paper the randomized Cauchy-Euler differential equation is studied. With this aim, from a statistical point of view, both the first and second probability density functions of the solution stochastic process ...
Constructing adaptive generalized polynomial chaos method to measure the uncertainty in continuous models: A computational approach

Chen Charpentier, Benito Miguel; Cortés López, Juan Carlos; Licea Salazar, Juan Antonio; Romero Bauset, José Vicente; Roselló Ferragud, María Dolores; Santonja, F.; Villanueva Micó, Rafael Jacinto (Elsevier, 2015-03)

Due to errors in measurements and inherent variability in the quantities of interest, models based on random differential equations give more realistic results than their deterministic counterpart. The generalized polynomial ...
Dealing with dependent uncertainty in modelling : a comparative study case through the airy equation

Cortés López, Juan Carlos; Romero Bauset, José Vicente; Roselló Ferragud, María Dolores; Villanueva Micó, Rafael Jacinto (Hindawi Publishing Corporation, 2013)

The consideration of uncertainty in differential equations leads to the emergent area of random differential equations. Under this approach, inputs become random variables and/or stochastic processes. Often one assumes ...
Determining the first probability density function of linear random initial value problems by the Random Variable Transformation (RVT) technique: A comprehensive study

Casabán Bartual, Mª Consuelo; Cortés López, Juan Carlos; Romero Bauset, José Vicente; Roselló Ferragud, María Dolores (Hindawi Publishing Corporation, 2014)

Deterministic differential equations are useful tools for mathematical modelling. The consideration of uncertainty into their formulation leads to random differential equations. Solving a random differential equation means ...