paper

Weak Convergence Theorem by a New Extragradient Method for Fixed Point Problems and Variational Inequality Problems

arXiv:1403.3204

Abstract

We introduce a new extragradient iterative process, motivated and inspired by [S. H. Khan, A Picard-Mann Hybrid Iterative Process, Fixed Point Theory and Applications, doi:10.1186/1687-1812-2013-69], for finding a common element of the set of fixed points of a nonexpansive mapping and the set of solutions of a variational inequality for an inverse strongly monotone mapping in a Hilbert space. Using this process, we prove a weak convergence theorem for the class of nonexpansive mappings in Hilbert spaces. Finally, as an application, we give some theorems by using resolvent operator and strictly pseudocontractive mapping.

10 pages

Weak Convergence Theorem by a New Extragradient Method for Fixed Point Problems and Variational Inequality Problems · wovepaper