An algorithmic approach for a class of set-valued variational inclusion problems
Author:
Balooee Javad1, Yao Jen-Chih2
Affiliation:
1. School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran 2. Research Center for Interneural Computing, China Medical University Hospital, China Medical University, Taichung, Taiwan
Abstract
The main goal of this paper is twofold. Our first objective is to prove the
Lipschitz continuity of the proximal-point mapping associated with an
H-accretive operator and to compute an estimate of its Lipschitz constant
under some new appropriate conditions imposed on the parameter and mappings
involved in it. Using the notion of proximal-point mapping, a new iterative
algorithm is constructed for solving a new class of set-valued variational
inclusion problems in the setting of q-uniformly smooth Banach spaces. As an
application, the strong convergence of the sequences generated by our
proposed iterative algorithm to a solution of our considered problem is
proved. The second objective of this paper is to investigate and analyze the
notion of ??-H((.,.), (.,.))-mixed accretive mapping introduced and
studied in [S. Gupta, S. Husain, V.N. Mishra, Variational inclusion governed
by ??-H((.,.), (.,.))-mixed accretive mapping, Filomat 31(20)(2017)
6529-6542]. Some comments concerning ??-H((., .), (., .))-mixed accretive
mapping and related conclusions appeared in the above-mentioned paper are
also pointed out.
Publisher
National Library of Serbia
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