An inertial triple-projection algorithm for solving the split feasibility problem

This paper proposes a new inertial triple-projection algorithm for solving the split feasibility problem. The process of projections is divided into three parts. Each part adopts a different variable stepsize to obtain its projection point, which is different from the existing extragradient methods....

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Main Authors: Dang, Y., Ang, M., Sun, Jie
Format: Journal Article
Language:English
Published: AMER INST MATHEMATICAL SCIENCES-AIMS 2023
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/91421
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author Dang, Y.
Ang, M.
Sun, Jie
author_facet Dang, Y.
Ang, M.
Sun, Jie
author_sort Dang, Y.
building Curtin Institutional Repository
collection Online Access
description This paper proposes a new inertial triple-projection algorithm for solving the split feasibility problem. The process of projections is divided into three parts. Each part adopts a different variable stepsize to obtain its projection point, which is different from the existing extragradient methods. Flexible rules are employed for selecting the stepsizes and the inertial technique is used for improving the convergence. Convergence results are proven. Numerical experiments show that the proposed method converges more quickly than the general CQ algorithm.
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institution Curtin University Malaysia
institution_category Local University
language English
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publishDate 2023
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spelling curtin-20.500.11937-914212023-05-03T08:03:42Z An inertial triple-projection algorithm for solving the split feasibility problem Dang, Y. Ang, M. Sun, Jie Science & Technology Technology Physical Sciences Engineering, Multidisciplinary Operations Research & Management Science Mathematics, Interdisciplinary Applications Engineering Mathematics Split feasibility problem triple-projection algorithm Armijo-type line search inertial technique convergence analysis CQ ALGORITHM SETS This paper proposes a new inertial triple-projection algorithm for solving the split feasibility problem. The process of projections is divided into three parts. Each part adopts a different variable stepsize to obtain its projection point, which is different from the existing extragradient methods. Flexible rules are employed for selecting the stepsizes and the inertial technique is used for improving the convergence. Convergence results are proven. Numerical experiments show that the proposed method converges more quickly than the general CQ algorithm. 2023 Journal Article http://hdl.handle.net/20.500.11937/91421 10.3934/jimo.2022019 English AMER INST MATHEMATICAL SCIENCES-AIMS fulltext
spellingShingle Science & Technology
Technology
Physical Sciences
Engineering, Multidisciplinary
Operations Research & Management Science
Mathematics, Interdisciplinary Applications
Engineering
Mathematics
Split feasibility problem
triple-projection algorithm
Armijo-type line search
inertial technique
convergence analysis
CQ ALGORITHM
SETS
Dang, Y.
Ang, M.
Sun, Jie
An inertial triple-projection algorithm for solving the split feasibility problem
title An inertial triple-projection algorithm for solving the split feasibility problem
title_full An inertial triple-projection algorithm for solving the split feasibility problem
title_fullStr An inertial triple-projection algorithm for solving the split feasibility problem
title_full_unstemmed An inertial triple-projection algorithm for solving the split feasibility problem
title_short An inertial triple-projection algorithm for solving the split feasibility problem
title_sort inertial triple-projection algorithm for solving the split feasibility problem
topic Science & Technology
Technology
Physical Sciences
Engineering, Multidisciplinary
Operations Research & Management Science
Mathematics, Interdisciplinary Applications
Engineering
Mathematics
Split feasibility problem
triple-projection algorithm
Armijo-type line search
inertial technique
convergence analysis
CQ ALGORITHM
SETS
url http://hdl.handle.net/20.500.11937/91421