9 citations · 9 across the 3 of their papers we have counts for
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math.NA2021
Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification
Felix Newberry, Jerrad Hampton, Kenneth Jansen +1
A ubiquitous challenge in design space exploration or uncertainty quantification of complex engineering problems is the minimization of computational cost. A useful tool to ease th…
math.NA2019
Embedded multilevel Monte Carlo for uncertainty quantification in random domains
Santiago Badia, Jerrad Hampton, Javier Principe
The multilevel Monte Carlo (MLMC) method has proven to be an effective variance-reduction statistical method for Uncertainty quantification in PDE models. It combines approximation…