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New monotone hybrid algorithm for hemi-relatively nonexpansive mappings and maximal monotone operators
Authors:Yongfu Su  Mengqin LiHong Zhang
Affiliation:Department of Mathematics, Tianjin Polytechnic University, Tianjin 300160, PR China
Abstract: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.
Keywords:Hemi-relatively nonexpansive mapping   Generalized projection   Monotone hybrid algorithm   Cauchy sequence   Maximal monotone operator
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