Publikationen, an denen er mitarbeitet María Dolores Roselló Ferragud (24)

2023

  1. Solving discrete first-order matrix linear control problems with general parametric uncertainties: A probability-density-based approach

    Journal of the Franklin Institute, Vol. 360, Núm. 7, pp. 4852-4879

2022

  1. First-order linear differential equations whose data are complex random variables: Probabilistic solution and stability analysis via densities

    AIMS Mathematics, Vol. 7, Núm. 1, pp. 1486-1506

  2. Solving fully randomized first-order linear control systems: Application to study the dynamics of a damped oscillator with parametric noise under stochastic control

    Journal of Computational and Applied Mathematics, Vol. 404

2021

  1. A full probabilistic analysis of a randomized kinetic model for reaction–deactivation of hydrogen peroxide decomposition with applications to real data

    Journal of Mathematical Chemistry, Vol. 59, Núm. 6, pp. 1479-1497

  2. Introducing randomness in the analysis of chemical reactions: An analysis based on random differential equations and probability density functions

    Computational and Mathematical Methods

  3. Solving fully randomized higher-order linear control differential equations: Application to study the dynamics of an oscillator

    Computational and Mathematical Methods

2020

  1. Full probabilistic solution of a finite dimensional linear control system with random initial and final conditions

    Journal of the Franklin Institute, Vol. 357, Núm. 12, pp. 8156-8180

  2. Probabilistic study of the effect of anti-epileptic drugs under uncertainty: Cost-effectiveness analysis

    Mathematics, Vol. 8, Núm. 7

  3. Solving second-order linear differential equations with random analytic coefficients about regular-singular points

    Mathematics, Vol. 8, Núm. 2

  4. Some results about randomized binary Markov chains: theory, computing and applications

    International Journal of Computer Mathematics, Vol. 97, Núm. 1-2, pp. 141-156

2019

  1. (CMMSE2018 paper) Solving the random Pielou logistic equation with the random variable transformation technique: Theory and applications

    Mathematical Methods in the Applied Sciences

  2. A probabilistic analysis of a Beverton-Holt–type discrete model: Theoretical and computing analysis

    Computational and Mathematical Methods, Vol. 1, Núm. 1

  3. Analysis of random non-autonomous logistic-type differential equations via the Karhunen–Loève expansion and the Random Variable Transformation technique

    Communications in Nonlinear Science and Numerical Simulation, Vol. 72, pp. 121-138

2018

  1. Computing the probability density function of non-autonomous first-order linear homogeneous differential equations with uncertainty

    Journal of Computational and Applied Mathematics, Vol. 337, pp. 190-208

  2. Solving second-order linear differential equations with random analytic coefficients about ordinary points: A full probabilistic solution by the first probability density function

    Applied Mathematics and Computation, Vol. 331, pp. 33-45

  3. Solving the random Cauchy one-dimensional advection–diffusion equation: Numerical analysis and computing

    Journal of Computational and Applied Mathematics, Vol. 330, pp. 920-936

2017

  1. Computing probabilistic solutions of the Bernoulli random differential equation

    Journal of Computational and Applied Mathematics, Vol. 309, pp. 396-407

  2. Computing the two first probability density functions of the random Cauchy-Euler differential equation: Study about regular-singular points

    Applied Mathematics and Nonlinear Sciences, Vol. 2, Núm. 1, pp. 213-224

  3. Full solution of random autonomous first-order linear systems of difference equations. Application to construct random phase portrait for planar systems

    Applied Mathematics Letters, Vol. 68, pp. 150-156

  4. Randomizing the parameters of a Markov chain to model the stroke disease: A technical generalization of established computational methodologies towards improving real applications

    Journal of Computational and Applied Mathematics, Vol. 324, pp. 225-240