14 citations · 15 across the 14 of their papers we have counts for
Showing 2024 · math.OCShow all
3 papers · 2 filters
math.OC2024
When Does Primal Interior Point Method Beat Primal-dual in Linear Optimization?
Wenzhi Gao, Huikang Liu, Yinyu Ye +1
The primal-dual interior point method (IPM) is widely regarded as the most efficient IPM variant for linear optimization. In this paper, we demonstrate that the improved stability…
math.OC2024
Orientation Determination of Cryo-EM Images Using Block Stochastic Riemannian Subgradient Methods
Wanyu Zhang, Ruili Gou, Huikang Liu +2
The determination of molecular orientations is crucial for the three-dimensional reconstruction of Cryo-EM images. Traditionally addressed using the common-line method, this challe…
math.OC2024
Gradient Methods with Online Scaling
Wenzhi Gao, Ya-Chi Chu, Yinyu Ye +1
We introduce a framework to accelerate the convergence of gradient-based methods with online learning. The framework learns to scale the gradient at each iteration through an onlin…