Iterative Algorithms for a Generalized System of Mixed Variational-Like Inclusion Problems and Altering Points Problem
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Published:2020-02-27
Issue:2
Volume:8
Page:549-564
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ISSN:2310-5070
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Container-title:Statistics, Optimization & Information Computing
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language:
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Short-container-title:Stat., optim. inf. comput.
Author:
Alansari Monairah,Akram Mohd,Dilshad Mohd.
Abstract
In this article, we introduce and study a generalized system of mixed variational-like inclusion problems involving αβ-symmetric η-monotone mappings. We use the resolvent operator technique to calculate the approximate common solution of the generalized system of variational-like inclusion problems involving αβ-symmetric η-monotone mappings and a fixed point problem for nonlinear Lipchitz mappings. We study strong convergence analysis of the sequences generated by proposed Mann type iterative algorithms. Moreover, we consider an altering points problem associated with a generalized system of variational-like inclusion problems. To calculate the approximate solution of our system, we proposed a parallel S-iterative algorithm and study the convergence analysis of the sequences generated by proposed parallel S-iterative algorithms by using the technique of altering points problem. The results presented in this paper may be viewed as generalizations and refinements of the results existing in the literature.
Publisher
International Academic Press
Subject
Artificial Intelligence,Control and Optimization,Statistics, Probability and Uncertainty,Computer Vision and Pattern Recognition,Information Systems,Statistics and Probability,Signal Processing
Cited by
3 articles.
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