%0 Journal Article
%T Convergence theorems by monotone hybrid algorithms for a family of generalized nonexpansive mappings and maximal monotone operators
%J International Journal of Nonlinear Analysis and Applications
%I Semnan University
%Z 2008-6822
%A Aibinu, Mathew O.
%A Moyo, Sibusiso
%D 2023
%\ 06/01/2023
%V 14
%N 6
%P 357-369
%! Convergence theorems by monotone hybrid algorithms for a family of generalized nonexpansive mappings and maximal monotone operators
%K Generalized
%K Maximal monotone
%K Nonexpansive
%K Retraction
%K Algorithm
%R 10.22075/ijnaa.2023.29593.4201
%X Finding a zero of a maximal monotone operator is known as one of the most impressive problems which are associated with convex analysis and mathematical optimization. Akin to this is solving the fixed point problems of the class of nonexpansive mappings, which constitutes an important part of nonlinear operators with fascinating applications in several areas such as signal processing and image restoration. This study presents a monotone hybrid algorithm for finding a common element of the zero point set of a maximal monotone operator and the fixed point set of a family of a generalized nonexpansive mapping in a Banach space. Suitable conditions under which the algorithm converges strongly are established.
%U https://ijnaa.semnan.ac.ir/article_7613_8be4b61364be4bb198131ce545fc0c8b.pdf