Non-Convex Split Feasibility Problems: Models, Algorithms and Theory

In this paper, we propose a catalog of iterative methods for solving the Split Feasibility Problem in the non-convex setting. We study four different optimization formulations of the problem, where each model has advantages in different settings of the problem. For each model, we study relevant iter...

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Main Authors: Gibali, Aviv, Sabach, Shoham, Voldman, Sergey
Format: Article
Language:English
Published: Université de Montpellier 2020-10-01
Series:Open Journal of Mathematical Optimization
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Online Access:https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.1/
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author Gibali, Aviv
Sabach, Shoham
Voldman, Sergey
author_facet Gibali, Aviv
Sabach, Shoham
Voldman, Sergey
author_sort Gibali, Aviv
collection DOAJ
description In this paper, we propose a catalog of iterative methods for solving the Split Feasibility Problem in the non-convex setting. We study four different optimization formulations of the problem, where each model has advantages in different settings of the problem. For each model, we study relevant iterative algorithms, some of which are well-known in this area and some are new. All the studied methods, including the well-known CQ Algorithm, are proven to have global convergence guarantees in the non-convex setting under mild conditions on the problem’s data.
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institution Kabale University
issn 2777-5860
language English
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publisher Université de Montpellier
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series Open Journal of Mathematical Optimization
spelling doaj-art-b1b1fdde862241498a917bc66ed647f12025-02-07T14:02:13ZengUniversité de MontpellierOpen Journal of Mathematical Optimization2777-58602020-10-01111510.5802/ojmo.110.5802/ojmo.1Non-Convex Split Feasibility Problems: Models, Algorithms and TheoryGibali, Aviv0Sabach, Shoham1Voldman, Sergey2Department of Mathematics, ORT Braude College, Karmiel 2161002, Israel; The Center for Mathematics and Scientific Computation, University of Haifa, Mt. Carmel, Haifa 3498838, IsraelFaculty of Industrial Engineering and Management, The Technion, Haifa, 3200003, IsraelFaculty of Industrial Engineering and Management, The Technion, Haifa, 3200003, IsraelIn this paper, we propose a catalog of iterative methods for solving the Split Feasibility Problem in the non-convex setting. We study four different optimization formulations of the problem, where each model has advantages in different settings of the problem. For each model, we study relevant iterative algorithms, some of which are well-known in this area and some are new. All the studied methods, including the well-known CQ Algorithm, are proven to have global convergence guarantees in the non-convex setting under mild conditions on the problem’s data.https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.1/Split feasibility problemsnon-convex minimizationconvergence analysisconstrained minimizationCQ algorithm
spellingShingle Gibali, Aviv
Sabach, Shoham
Voldman, Sergey
Non-Convex Split Feasibility Problems: Models, Algorithms and Theory
Open Journal of Mathematical Optimization
Split feasibility problems
non-convex minimization
convergence analysis
constrained minimization
CQ algorithm
title Non-Convex Split Feasibility Problems: Models, Algorithms and Theory
title_full Non-Convex Split Feasibility Problems: Models, Algorithms and Theory
title_fullStr Non-Convex Split Feasibility Problems: Models, Algorithms and Theory
title_full_unstemmed Non-Convex Split Feasibility Problems: Models, Algorithms and Theory
title_short Non-Convex Split Feasibility Problems: Models, Algorithms and Theory
title_sort non convex split feasibility problems models algorithms and theory
topic Split feasibility problems
non-convex minimization
convergence analysis
constrained minimization
CQ algorithm
url https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.1/
work_keys_str_mv AT gibaliaviv nonconvexsplitfeasibilityproblemsmodelsalgorithmsandtheory
AT sabachshoham nonconvexsplitfeasibilityproblemsmodelsalgorithmsandtheory
AT voldmansergey nonconvexsplitfeasibilityproblemsmodelsalgorithmsandtheory