New monotone hybrid algorithm for hemi-relatively nonexpansive mappings and maximal monotone operators
作者:
Highlights:
•
摘要
The purpose of this article is to prove the strong convergence theorems for hemi-relatively nonexpansive mappings in Banach spaces. In order to get the strong convergence theorems for hemi-relatively nonexpansive mappings, a new monotone hybrid iteration algorithm is presented and is used to approximate the fixed point of hemi-relatively nonexpansive mappings. Noting that, the general hybrid iteration algorithm can be used for relatively nonexpansive mappings but it can not be used for hemi-relatively nonexpansive mappings. However, this new monotone hybrid algorithm can be used for hemi-relatively nonexpansive mappings. In addition, a new method of proof has been used in this article. That is, by using this new monotone hybrid algorithm, we firstly claim that, the iterative sequence is a Cauchy sequence. The results of this paper modify and improve the results of Matsushita and Takahashi, and some others.
论文关键词:Hemi-relatively nonexpansive mapping,Generalized projection,Monotone hybrid algorithm,Cauchy sequence,Maximal monotone operator
论文评审过程:Available online 13 December 2010.
论文官网地址:https://doi.org/10.1016/j.amc.2010.12.015