196 citations · 677 across the 9 of their papers we have counts for
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stat.CO2023
Multilevel Monte Carlo estimators for derivative-free optimization under uncertainty
Friedrich Menhorn, Gianluca Geraci, D. Thomas Seidl +3
Optimization is a key tool for scientific and engineering applications, however, in the presence of models affected by uncertainty, the optimization formulation needs to be extende…
physics.data-an2023★ 25 cited
Multifidelity uncertainty quantification with models based on dissimilar parameters
Xiaoshu Zeng, Gianluca Geraci, Michael S. Eldred +3
Multifidelity uncertainty quantification (MF UQ) sampling approaches have been shown to significantly reduce the variance of statistical estimators while preserving the bias of the…