摘要

The purpose of this paper is to introduce two hybrid proximal point algorithms to solve the constrained minimization problem for a convex functional in a uniformly convex and uniformly smooth Banach space. Using those iterative schemes, we establish the strong convergence theorems for relatively nonexpansive mappings which generalize the recent results in the literature.