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math.OC2023
A Mini-Batch Quasi-Newton Proximal Method for Constrained Total-Variation Nonlinear Image Reconstruction
Tao Hong, Thanh-an Pham, Irad Yavneh +1
Over the years, computational imaging with accurate nonlinear physical models has garnered considerable interest due to its ability to achieve high-quality reconstructions. However…
math.OC2023
A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI
Tao Hong, Luis Hernandez-Garcia, Jeffrey A. Fessler
Model-based methods are widely used for reconstruction in compressed sensing (CS) magnetic resonance imaging (MRI), using regularizers to describe the images of interest. The recon…
math.OC2021
On Adapting Nesterov's Scheme to Accelerate Iterative Methods for Linear Problems
Tao Hong, Irad Yavneh
Nesterov's well-known scheme for accelerating gradient descent in convex optimization problems is adapted to accelerating stationary iterative solvers for linear systems. Compared…