3 papers
math.OC2026
A conditional-gradient-based single-loop augmented Lagrangian method for inequality constrained optimization
Xiaozhou Wang, Ting Kei Pong, Zev Woodstock
We consider the problem of minimizing the sum of a Lipschitz differentiable convex function and a proper closed convex function that admits efficient linear minimization or…
math.OC2025
Error bounds for perspective cones of a class of nonnegative Legendre functions
Xiaozhou Wang, Bruno F. Lourenço, Ting Kei Pong
Error bounds play a central role in the study of conic optimization problems, including the analysis of convergence rates for numerous algorithms. Curiously, those error bounds are…
math.OC2021
Frank-Wolfe-type methods for a class of nonconvex inequality-constrained problems
Liaoyuan Zeng, Yongle Zhang, Guoyin Li +2
The Frank-Wolfe (FW) method, which implements efficient linear oracles that minimize linear approximations of the objective function over a fixed compact convex set, has recently r…