Juan Carlos Cortés López-rekin lankidetzan egindako argitalpenak (54)

2024

  1. Extending the hyper-logistic model to the random setting: New theoretical results with real-world applications

    Mathematical Methods in the Applied Sciences

  2. Study of nonhomogeneous linear second-order discrete dynamical systems with uncertainties: Solution and stability with applications

    Mathematical Methods in the Applied Sciences

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

  2. Statistical Analysis of a General Adsorption Kinetic Model with Randomness in Its Formulation. An Application to Real Data

    Match, Vol. 90, Núm. 1, pp. 19-51

  3. Statistical analysis of randomized pseudo-first/second order kinetic models. Application to study the adsorption on cadmium ions onto tree fern

    Chemometrics and Intelligent Laboratory Systems, Vol. 240

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

  4. Statistical analysis of biological models with uncertainty

    Lecture Notes in Mechanical Engineering

2020

  1. A comprehensive probabilistic analysis of approximate SIR-type epidemiological models via full randomized discrete-time Markov chain formulation with applications

    Mathematical Methods in the Applied Sciences

  2. Analysing Differential Equations with Uncertainties via the Liouville-Gibbs Theorem: Theory and Applications

    Forum for Interdisciplinary Mathematics (Springer), pp. 1-23

  3. 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

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

    Mathematics, Vol. 8, Núm. 2

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

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

  6. Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters

    Chaos, Solitons and Fractals, Vol. 138

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