326 citations · 1k across the 19 of their papers we have counts for
4 papers · 1 filter
Inverse Uncertainty Quantification using the Modular Bayesian Approach based on Gaussian Process, Part 1: Theory
Xu Wu, Tomasz Kozlowski, Hadi Meidani +1
In nuclear reactor system design and safety analysis, the Best Estimate plus Uncertainty (BEPU) methodology requires that computer model output uncertainties must be quantified in…
A preconditioning approach for improved estimation of sparse polynomial chaos expansions
Negin Alemazkoor, Hadi Meidani
Compressive sampling has been widely used for sparse polynomial chaos (PC) approximation of stochastic functions. The recovery accuracy of compressive sampling highly depends on th…
A Near-Optimal Sampling Strategy for Sparse Recovery of Polynomial Chaos Expansions
Negin Alemazkoor, Hadi Meidani
Compressive sampling has become a widely used approach to construct polynomial chaos surrogates when the number of available simulation samples is limited. Originally, these expens…
Divide and Conquer: An Incremental Sparsity Promoting Compressive Sampling Approach for Polynomial Chaos Expansions
Negin Alemazkoor, Hadi Meidani
This paper introduces an efficient sparse recovery approach for Polynomial Chaos (PC) expansions, which promotes the sparsity by breaking the dimensionality of the problem. The pro…