26 citations · 91 across the 16 of their papers we have counts for
3 papers · 1 filter
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…
Efficient generalized Golub-Kahan based methods for dynamic inverse problems
Julianne Chung, Arvind K. Saibaba, Matthew Brown +1
We consider efficient methods for computing solutions to and estimating uncertainties in dynamic inverse problems, where the parameters of interest may change during the measuremen…
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…