Convergence of proximal gradient method with alternated inertial step for minimization problem

Abstract

This paper proposes an alternating inertial-type extrapolation technique for solving the convex minimization problem. We provide a self-adaptive proximal gradient technique using an inertial step. Under certain conditions, the strong convergence theorem is established. The numerical results illustrate the performances of our algorithm.