An inertial self-adaptive algorithm for solving split feasibility problems and fixed point problems in the class of demicontractive mappings

Fuente: arXiv
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Auteur principal: Berinde, Vasile
Format: Preprint
Publié: 2024
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author Berinde, Vasile
author_facet Berinde, Vasile
contents We propose a hybrid inertial self-adaptive algorithm for solving the split feasibility problem and fixed point problem in the class of demicontractive mappings. Our results are very general and extend several related results existing in literature from the class of nonexpansive or quasi-nonexpansive mappings to the larger class of demicontractive mappings. Examples to illustrate numerically the effectiveness of the new analytical results are presented.
format Preprint
id arxiv_https___arxiv_org_abs_2404_04309
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An inertial self-adaptive algorithm for solving split feasibility problems and fixed point problems in the class of demicontractive mappings
Berinde, Vasile
Optimization and Control
Functional Analysis
47H10, 47H09, 47H05
We propose a hybrid inertial self-adaptive algorithm for solving the split feasibility problem and fixed point problem in the class of demicontractive mappings. Our results are very general and extend several related results existing in literature from the class of nonexpansive or quasi-nonexpansive mappings to the larger class of demicontractive mappings. Examples to illustrate numerically the effectiveness of the new analytical results are presented.
title An inertial self-adaptive algorithm for solving split feasibility problems and fixed point problems in the class of demicontractive mappings
topic Optimization and Control
Functional Analysis
47H10, 47H09, 47H05
url https://arxiv.org/abs/2404.04309