RiuNet UPV Home
:
Browsing by Subject

Search RiuNet

Browse

All of RiuNet

My Account

RiuNet Help

Admin. UPV

Browsing by Subject "Random Variable Transformation technique"

Now showing items 1-9 of 9

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 full probabilistic solution of the random linear fractional differential equation via the Random Variable Transformation technique

Burgos-Simon, Clara; Calatayud-Gregori, Julia; Cortés, J.-C.; Navarro-Quiles, A. (John Wiley & Sons, 2018)

[EN] This paper provides a full probabilistic solution of the randomized fractional linear nonhomogeneous differential equation with a random initial condition via the computation of the first probability density function ...
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 ...
Analysis of the random heat equation via approximate density functions

Calatayud, Julia; Cortés, J.-C. (Editura Academiei Romane, 2021)

[EN] In this paper we study the randomized heat equation with homogeneous boundary conditions. The diffusion coefficient is assumed to be a random variable and the initial condition is treated as a stochastic process. The ...
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 ...
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 ...
Probabilistic solution of random SI-type epidemiological models using the Random Variable Transformation technique

Casabán Bartual, Mª Consuelo; Cortés López, Juan Carlos; Romero Bauset, José Vicente; Roselló Ferragud, María Dolores (Elsevier, 2015-07)

[EN] This paper presents a full probabilistic description of the solution of random SI-type epidemiological models which are based on nonlinear differential equations. This description consists of determining: the first ...
Solving fully randomized first-order linear control systems: Application to study the dynamics of a damped oscillator with parametric noise under stochastic control

Cortés, J.-C.; Navarro-Quiles, A.; Romero, José-Vicente; Roselló, María-Dolores (Elsevier, 2022-04)

[EN] This paper is devoted to study random linear control systems where the initial condition, the final target, and the elements of matrices defining the coefficients are random variables, while the control is a stochastic ...