Hongpeng Sun

A proximal difference of convex functions algorithm using Barzilai-Borwein step size with nonmonotone line search and extrapolation

A novel proximal difference-of-convex (DC) algorithmic framework to solve general non-convex, non-smooth optimization problems is proposed by combining Barzilai-Borwein (BB) step sizes with nonmonotone line search strategies and develops extrapolation mechanisms to accelerate convergence while ensuring global stability...