Julianne Chung, Ph.D.
Affiliations: | 2009 | Math and Computer Science | Emory University, Atlanta, GA |
Area:
MathematicsGoogle:
"Julianne Chung"Parents
Sign in to add mentor| James G. Nagy | grad student | 2009 | Emory | |
| (Numerical approaches for large-scale ill-posed inverse problems.) | ||||
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Publications
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| Cho T, Pendar H, Chung J. (2021) Computational tools for inversion and uncertainty estimation in respirometry. Plos One. 16: e0251926 |
| Cho T, Chung J, Jiang J. (2021) Hybrid projection methods for large-scale inverse problems with mixed Gaussian priors Inverse Problems. 37: 044002 |
| Chung J, Chung M, Tanner Slagel J, et al. (2020) Sampled limited memory methods for massive linear inverse problems Inverse Problems. 36: 054001 |
| Saibaba AK, Chung J, Petroske K. (2020) Efficient Krylov subspace methods for uncertainty quantification in large Bayesian linear inverse problems Numerical Linear Algebra With Applications |
| Chung J, Gazzola S. (2019) Flexible Krylov methods for $\ell_p$ regularization Siam Journal On Scientific Computing. 41 |
| Slagel JT, Chung J, Chung M, et al. (2019) Sampled Tikhonov regularization for large linear inverse problems Inverse Problems. 35: 114008 |
| Ruthotto L, Chung J, Chung M. (2018) Optimal Experimental Design for Inverse Problems with State Constraints Siam Journal On Scientific Computing. 40 |
| Chung J, Saibaba AK, Brown M, et al. (2018) Efficient generalized Golub–Kahan based methods for dynamic inverse problems Inverse Problems. 34: 24005 |
| Chung J, Nguyen L. (2017) Motion Estimation and Correction in Photoacoustic Tomographic Reconstruction Siam Journal On Imaging Sciences. 10: 216-242 |
| Chung J, Saibaba AK. (2017) Generalized Hybrid Iterative Methods for Large-Scale Bayesian Inverse Problems Siam Journal On Scientific Computing. 39 |