460 citations · 1.9k across the 48 of their papers we have counts for
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Randomized Alternating Least Squares for Canonical Tensor Decompositions: Application to a PDE with Random Data
Matthew Reynolds, Alireza Doostan, Gregory Beylkin
This paper introduces a randomized variation of the alternating least squares (ALS) algorithm for rank reduction of canonical tensor formats. The aim is to address the potential nu…
On Polynomial Chaos Expansion via Gradient-enhanced -minimization
Ji Peng, Jerrad Hampton, Alireza Doostan
Gradient-enhanced Uncertainty Quantification (UQ) has received recent attention, in which the derivatives of a Quantity of Interest (QoI) with respect to the uncertain parameters a…
On Uncertainty Quantification of Lithium-ion Batteries: Application to an LiC/LiCoO cell
Mohammad Hadigol, Kurt Maute, Alireza Doostan
In this work, a stochastic, physics-based model for Lithium-ion batteries (LIBs) is presented in order to study the effects of parametric model uncertainties on the cell capacity,…