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math.OC2026
A restricted memory quasi-Newton bundle method for nonsmooth optimization on Riemannian manifolds
Chunming Tang, Shajie Xing, Wen Huang +1
In this paper, a restricted memory quasi-Newton bundle method for minimizing a locally Lipschitz continuous function over a Riemannian manifold is proposed. The curvature informati…
math.OC2025
A Riemannian Accelerated Proximal Gradient Method
Shuailing Feng, Yuhang Jiang, Wen Huang +1
Riemannian accelerated gradient methods have been well studied for smooth optimization, typically treating geodesically convex and geodesically strongly convex cases separately. Ho…
math.OC2025
A Riemannian Proximal Newton-CG Method
Wen Huang, Wutao Si
Recently, a Riemannian proximal Newton method has been developed for optimizing problems in the form of , where is a compact…