Donghwan Kim

activity

20142023

most citedOptimized first-order methods for smooth convex minimization

165 citations · 435 across the 12 of their papers we have counts for

collaborators

Showing 2016Show all

3 papers · 1 filter

math.OC2016★ 5 cited

Fast dual proximal gradient algorithms with rate $O (1/ k^{1.5})$ for convex minimization

Donghwan Kim, Jeffrey A. Fessler

We consider minimizing the composite function that consists of a strongly convex function and a convex function. The fast dual proximal gradient (FDPG) method decreases the dual fu…

math.OC2016★ 75 cited

Another look at the fast iterative shrinkage/thresholding algorithm (FISTA)

Donghwan Kim, Jeffrey A. Fessler

This paper provides a new way of developing the fast iterative shrinkage/thresholding algorithm (FISTA) that is widely used for minimizing composite convex functions with a nonsmoo…

math.OC2016★ 44 cited

Generalizing the optimized gradient method for smooth convex minimization

Donghwan Kim, Jeffrey A. Fessler

This paper generalizes the optimized gradient method (OGM) that achieves the optimal worst-case cost function bound of first-order methods for smooth convex minimization. Specifica…

Fast dual proximal gradient algorithms with rate O(1/k1.5) for convex minimization

Another look at the fast iterative shrinkage/thresholding algorithm (FISTA)

Generalizing the optimized gradient method for smooth convex minimization

Fast dual proximal gradient algorithms with rate $O (1/ k^{1.5})$ for convex minimization