24 citations · 66 across the 6 of their papers we have counts for
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stat.CO2017★ 11 cited
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…
stat.CO2017★ 19 cited
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…
stat.CO2016★ 24 cited
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…