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Mann-Type Steepest-Descent and Modified Hybrid Steepest-Descent Methods for Variational Inequalities in Banach Spaces
Authors:Lu-Chuan Ceng  Jen-Chih Yao
Affiliation:1. Department of Mathematics , Shanghai Normal University , Shanghai;2. Scientific Computing Key Laboratory of Shanghai Universities , Shanghai, China;3. Department of Applied Mathematics , National Sun Yat-Sen University , Kaohsiung, Taiwan
Abstract:In this paper, we propose three different kinds of iteration schemes to compute the approximate solutions of variational inequalities in the setting of Banach spaces. First, we suggest Mann-type steepest-descent iterative algorithm, which is based on two well-known methods: Mann iterative method and steepest-descent method. Second, we introduce modified hybrid steepest-descent iterative algorithm. Third, we propose modified hybrid steepest-descent iterative algorithm by using the resolvent operator. For the first two cases, we prove the convergence of sequences generated by the proposed algorithms to a solution of a variational inequality in the setting of Banach spaces. For the third case, we prove the convergence of the iterative sequence generated by the proposed algorithm to a zero of an operator, which is also a solution of a variational inequality.
Keywords:Convergence analysis  Mann-type steepest-descent method  Modified hybrid steepest-descent method  Nonexpansive maps  Resolvent operators  Variational inequalities
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