49 citations · 52 across the 15 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
math.OC2023
Riemannian Trust Region Methods for SC Minimization
Chenyu Zhang, Rufeng Xiao, Wen Huang +1
Manifold optimization has recently gained significant attention due to its wide range of applications in various areas. This paper introduces the first Riemannian trust region meth…
math.OC2023
A Riemannian Proximal Newton Method
Wutao Si, P. -A. Absil, Wen Huang +2
In recent years, the proximal gradient method and its variants have been generalized to Riemannian manifolds for solving optimization problems with an additively separable structur…
math.OC2023★ 1 cited
A Proximal DC Algorithm for Sample Average Approximation of Chance Constrained Programming
Peng Wang, Rujun Jiang, Qingyuan Kong +1
Chance constrained programming (CCP) refers to a type of optimization problem with uncertain constraints that are satisfied with at least a prescribed probability level. In this wo…