2 papers
math.OC2026
Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
Linglingzhi Zhu, Wentao Ding, Shangyuan Liu +1
Recent advancements in data science have significantly elevated the importance of orthogonally constrained optimization problems. The Riemannian approach has become a popular techn…
math.OC2025
Randomized Submanifold Subgradient Method for Optimization over Stiefel Manifolds
Andy Yat-Ming Cheung, Jinxin Wang, Man-Chung Yue +1
Optimization over the Stiefel manifold is a fundamental computational problem in many scientific and engineering applications. Despite considerable research effort, high-dimensiona…