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Listar por palabra clave "Computational uncertainty quantification"

Mostrando ítems 1-2 de 2

Computational uncertainty quantification for random non-autonomous second order linear differential equations via adapted gPC: a comparative case study with random Fröbenius method and Monte Carlo simulation

Calatayud-Gregori, Julia; Cortés, J.-C.; Jornet-Sanz, Marc (De Gruyter Open, 2018)

[EN] This paper presents a methodology to quantify computationally the uncertainty in a class of differential equations often met in Mathematical Physics, namely random non-autonomous second-order linear differential ...
Computational uncertainty quantification for random time-discrete epidemiological models using adaptive gPC

Calatayud-Gregori, Julia; Cortés, J.-C.; Jornet-Sanz, Marc; Villanueva Micó, Rafael Jacinto (John Wiley & Sons, 2018)

[EN] Population dynamics models consisting of nonlinear difference equations allow us to get a better understanding of the processes involved in epidemiology. Usually, these mathematical models are studied under a deterministic ...

Mostrando ítems 1-2 de 2