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Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete $L^2$ Projection on Polynomial Spaces

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References

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2013To be or not to be intrusive? The solution of parametric and stochastic equations - the "plain vanilla" Galerkin case.43 cited
2018Review and comparison of two meta-model-based uncertainty propagation analysis methods in groundwater applications: polynomial chaos expansion and Gaussian process emulation40 cited
2018Affordable Uncertainty Quantification for Industrial Problems: Application to Aero-Engine Fans36 cited

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2018ASSESSING THE PERFORMANCE OF LEJA AND CLENSHAW-CURTIS COLLOCATION FOR COMPUTATIONAL ELECTROMAGNETICS WITH RANDOM INPUT DATA23 cited

2023Robust adaptive least squares polynomial chaos expansions in high‐frequency applications18 cited

2017Polynomial Surrogates for Open-Channel Flows in Random Steady State17 cited

2013A Quasi-optimal Sparse Grids Procedure for Groundwater Flows16 cited

2018Projection methods for stochastic dynamic systems: A frequency domain approach16 cited

2020Robust adaptive least squares polynomial chaos expansions in high‐frequency applications16 cited

2015Stochastic Collocation Methods: A Survey12 cited