## A gradient type algorithm with backward inertial steps for a nonconvex minimization

We investigate an algorithm of gradient type with a backward inertial step in connection with the minimization of a nonconvex differentiable function. We show that the generated sequences converge to a critical point of the objective function, if a regularization of the objective function satises the Kurdyka-Lojasiewicz property. Further, we provide convergence rates for the … Read more