Inertial Proximal Gradient Method Using Adaptive Stepsize for Convex Minimization Problems

Abstract

This work aims to propose an inertial proximal gradient method using the adaptive stepsize to solve unconstrained minimization problems. We prove that our algorithm weakly converges to a solution of the problems. Finally, we give numerical experiments on image restoration problem. It shows that the proposed algorithms outrun known algorithms introduced by many authors.