Marc Jornet-Sanz

Orcid: 0000-0003-0748-3730

According to our database1, Marc Jornet-Sanz authored at least 18 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
The Peano-Sard theorem for fractional operators with Mittag-Leffler kernel and application in classical numerical approximation.
J. Comput. Appl. Math., 2025

2024
Finite-dimensional probability distributions in the random Burgers-Riemann problem.
Commun. Nonlinear Sci. Numer. Simul., March, 2024

Power-series solutions of fractional-order compartmental models.
Comput. Appl. Math., February, 2024

Power-series solution of the L-fractional logistic equation.
Appl. Math. Lett., 2024

Generalized polynomial chaos expansions for the random fractional Bateman equations.
Appl. Math. Comput., 2024

2023
On the random fractional Bateman equations.
Appl. Math. Comput., November, 2023

Probabilistic analysis of a general class of nonlinear random differential equations with state-dependent impulsive terms via probability density functions.
Commun. Nonlinear Sci. Numer. Simul., May, 2023

On the generalized logistic random differential equation: Theoretical analysis and numerical simulations with real-world data.
Commun. Nonlinear Sci. Numer. Simul., 2023

2021
Exact solution to a multidimensional wave equation with delay.
Appl. Math. Comput., 2021

Beyond the hypothesis of boundedness for the random coefficient of the Legendre differential equation with uncertainties.
Appl. Math. Comput., 2021

2020
Extending the study on the linear advection equation subject to stochastic velocity field and initial condition.
Math. Comput. Simul., 2020

Second order linear differential equations with analytic uncertainties: Stochastic analysis via the computation of the probability density function.
J. Comput. Appl. Math., 2020

On a stochastic logistic population model with time-varying carrying capacity.
Comput. Appl. Math., 2020

2019
Combining Polynomial Chaos Expansions and the Random Variable Transformation Technique to Approximate the Density Function of Stochastic Problems, Including Some Epidemiological Models.
Symmetry, 2019

Uncertainty quantification for nonlinear difference equations with dependent random inputs via a stochastic Galerkin projection technique.
Commun. Nonlinear Sci. Numer. Simul., 2019

On the Legendre differential equation with uncertainties at the regular-singular point 1: Lp(Ω) random power series solution and approximation of its statistical moments.
Comput. Math. Methods, 2019

2018
Improving the approximation of the first and second order statistics of the response process to the random Legendre differential equation.
CoRR, 2018

Modeling Chickenpox Dynamics with a Discrete Time Bayesian Stochastic Compartmental Model.
Complex., 2018


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