Abstract
In this work we study a proximal-like method for the problem of convex minimization in Hubert spaces. Using the classical proximal mapping, we construct a new stable iterative procedure. The strong convergence of obtained sequences to the normal solution of the optimization problem is proved. Some results of this paper are extended for uniformly convex Banach spaces. © Springer-Verlag 2003.