activity
20232026
most citedDecentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

math.OC2024

Inexact Riemannian Gradient Descent Method for Nonconvex Optimization

Juan Zhou, Kangkang Deng, Hongxia Wang +1

Gradient descent methods are fundamental first-order optimization algorithms in both Euclidean spaces and Riemannian manifolds. However, the exact gradient is not readily available…

math.OC2024

Anderson acceleration of derivative-free projection methods for constrained monotone nonlinear equations

Jiachen Jin, Hongxia Wang, Kangkang Deng

The derivative-free projection method (DFPM) is an efficient algorithm for solving monotone nonlinear equations. As problems grow larger, there is a strong demand for speeding up t…