AN ITERATIVE ALGORITHM FOR APPROXIMATING SOLUTIONS OF VARIATIONAL INEQUALITY AND FIXED POINT PROBLEMS IN BANACH SPACES PROBLEMS IN BANACH SPACES
Abstract
In this paper, an iterative algorithm for approximating a common element of the set of xed points of a relatively nonexpansive map and the set of solutions of variational inequality problem involving a monotone and Lipschitz continuous map is constructed. Strong convergence of the given iterative sequence in a uniformly smooth and 2-uniformly convexreal Banach space is shown.
References
Ya. Alber, Metric and generalized projection operators in Banach spaces: properties and applications. In Theory and Applications of Nonlinear Operators of Accretive and Monotone Type (A. G. Kartsatos, Ed.), Marcel Dekker, New York (1996), pp. 15-50.
Ya. Al'ber, S. Reich, An iterative method for solving a class of nonlinear operator equations in Banach spaces, Panamer. Math. J., 4 (1994), 39-54.
F. Browder, Non linear monotone operators and convex sets in Banach spaces, Bull. Amer. Math Soc., 71, 1965, 780-785.
V. Barbu and T. Precupanu, Convexity and optimization in Banach spaces (4th ed), Springer Mono. Math., 2012.
Y. Censor, A. Gibali and S. Reich, Strong convergence of subgradient extragradient methods for the variational inequality problem in Hilbert space, J. Optim. Theory Appl. 148, 318-335 (2011).
A. A. Eldred, W. A. Kirk and P. Veeramani, Proximinal normal structure and relatively nonexpansive mappings, Studia Math. 171 (3), 283-293 (2005).