A Family of Subgradient-Based Methods for Convex Optimization Problems in a Unifying Framework

Masaru Ito, Mituhiro Fukuda

We propose a new family of subgradient- and gradient-based methods which converges with optimal complexity for convex optimization problems whose feasible region is simple enough.…