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math.OC2026
Distributed Nonlinear Equality-Constrained Optimization via Feedback Linearization and Singular Perturbation
Zihao Ren, Lei Wang, Hongye Su +1
Distributed optimization becomes particularly challenging when nonconvex objectives are combined with nonlinear equality constraints: feasibility is network coupled, while most exi…
math.OC2023
Riemannian Optimistic Algorithms
Xi Wang, Deming Yuan, Yiguang Hong +3
In this paper, we consider Riemannian online convex optimization with dynamic regret. First, we propose two novel algorithms, namely the Riemannian Online Optimistic Gradient Desce…