Parallel composite-type extragradient implicit method for a system of variational inclusions with the common fixed-point constraint of pseudocontractive mappings

In a uniformly convex and q-uniformly smooth Banach space with q (1, 2], let the VI indicate a variational inclusion for two accretive operators and let the CFPP denote a common fixed point problem of a countable family of -uniformly Lipschitzian pseudocontractive mappings.In this paper, we introduce a parallel composite-type extragradient implicit method for solving a general system of variational inclusions (GSVI) with the VI and CFPP constraints.We then prove the strong convergence of the suggested algorithm to a solution of the GSVI with the VI and CFPP constraints under some appropriate assumptions.As applications, we apply our main result to the variational inequality problem (VIP), split feasibility problem (SFP) and LASSO problem in Hilbert spaces.

Publication Details

Journal
Fixed Point Methods and Optimization
Published
2024-12-01
DOI
https://doi.org/10.69829/fpmo-024-0102-ta03
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Parallel composite-type extragradient implicit method for a system of variational inclusions with the common fixed-point constraint of pseudocontractive mappings

Fixed Point Methods and Optimization
Optimization and Variational Analysis
article

Parallel composite-type extragradient implicit method for a system of variational inclusions with the common fixed-point constraint of pseudocontractive mappings

article en

Abstract

In a uniformly convex and q-uniformly smooth Banach space with q (1, 2], let the VI indicate a variational inclusion for two accretive operators and let the CFPP denote a common fixed point problem of a countable family of -uniformly Lipschitzian pseudocontractive mappings.In this paper, we introduce a parallel composite-type extragradient implicit method for solving a general system of variational inclusions (GSVI) with the VI and CFPP constraints.We then prove the strong convergence of the suggested algorithm to a solution of the GSVI with the VI and CFPP constraints under some appropriate assumptions.As applications, we apply our main result to the variational inequality problem (VIP), split feasibility problem (SFP) and LASSO problem in Hilbert spaces.

Fixed Point Methods and Optimization
Shanghai Municipal Education Commission, Shanghai Municipal Human Resources and Social Security Bureau, National Science and Technology Council
Reduced inequalities
Openalex Percentile: Top 73%
Optimization and Variational Analysis
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