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New inertial method for generalized split variational inclusion problems.

Authors :
Che, Haitao
Chen, Haibin
Zhou, Guanglu
Source :
Journal of Industrial & Management Optimization; Nov2021, Vol. 17 Issue 6, p3357-3694, 15p
Publication Year :
2021

Abstract

The purpose of this paper is to introduce a new inertial iterative method for solving split variational inclusion problems in real Hilbert spaces. We prove that the generated sequence converges weakly to the solution of the considered problem under some mild conditions. The major contributions of our results are: (ⅰ) to increase the rate of convergence of the method for solving split variational inclusion problem through the inertial extrapolation step, (ⅱ) to relax the choice of the inertial factor and show the inertial factor can be chosen greater than 1/3 unlike what is previously known before for inertial proximal point method in the literature (ⅲ) to show the numerical efficiency and superiority of our proposed method through some test example. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15475816
Volume :
17
Issue :
6
Database :
Complementary Index
Journal :
Journal of Industrial & Management Optimization
Publication Type :
Academic Journal
Accession number :
153702121
Full Text :
https://doi.org/10.3934/jimo.2020123