Title of article :
Auxiliary principle and iterative algorithms for generalized mixed nonlinear variational-like inequalities
Author/Authors :
Liu ، Zeqing - Liaoning Normal University Dalian , Zheng ، Pingping - Liaoning Normal University Dalian , Ume ، Jeong Sheok - Changwon National University , Kang ، Shin Min - Gyeongsang National University
Abstract :
The aim of this paper is to study the solvability of a class of generalized mixed nonlinear variational- like inequalities in Hilbert spaces. Using the auxiliary principle technique, the Banach fixed-point theorem and an inequality due to Chang and Xiang, we construct two iterative algorithms for finding approximate solutions of the generalized mixed nonlinear variational-like inequality. Under some conditions we prove the existence and uniqueness of solution for the generalized mixed nonlinear variational-like inequality and establish the strong convergence of approximate solutions to the exact solution of the generalized mixed nonlinear variational-like inequality. Our results extend, improve and unify some known results in the literature.
Keywords :
Generalized mixed nonlinear variational , like inequality , Banach fixed , point theorem , auxiliary principle technique , iterative algorithm with errors
Journal title :
Journal of Nonlinear Science and Applications
Journal title :
Journal of Nonlinear Science and Applications