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20112025
most citedAn Efficient Approach for Computing Optimal Low-Rank Regularized Inverse Matrices

21 citations · 74 across the 15 of their papers we have counts for

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math.NA2017★ 3 cited

Optimal Experimental Design for Constrained Inverse Problems

Lars Ruthotto, Julianne Chung, Matthias Chung

In this paper, we address the challenging problem of optimal experimental design (OED) of constrained inverse problems. We consider two OED formulations that allow reducing the exp…

math.NA2017★ 8 cited

Stochastic Newton and Quasi-Newton Methods for Large Linear Least-squares Problems

Julianne Chung, Matthias Chung, J. Tanner Slagel +1

We describe stochastic Newton and stochastic quasi-Newton approaches to efficiently solve large linear least-squares problems where the very large data sets present a significant c…