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Published in 2019 at "Numerical Algorithms"
DOI: 10.1007/s11075-019-00790-y
Abstract: In this work, based on the gradient method and the relaxed CQ algorithm introduced by López et al. (Inverse Probl. 28 , 085004, 2012 ), we introduce two gradient-CQ algorithms for solving the split feasibility…
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Keywords:
feasibility problem;
gradient algorithms;
split feasibility;
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Published in 2019 at "Optimization"
DOI: 10.1080/02331934.2019.1602772
Abstract: ABSTRACT In this paper, we present two new iterative algorithms for approximating a solution of the multiple-sets split feasibility problem. The suggested algorithms are based on the gradient method with selection technique. Weak and strong…
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Keywords:
selection technique;
split feasibility;
feasibility problem;
sets split ... See more keywords
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Published in 2023 at "Journal of Mathematics"
DOI: 10.1155/2023/4934575
Abstract: The split feasibility problem (SFP) in Hilbert spaces is addressed in this study using an efficient iterative approach. Under mild conditions, we prove convergence theorems for the algorithm for finding a solution to the SFP.…
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Keywords:
image deblurring;
feasibility problem;
efficient iterative;
deblurring signal ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020335
Abstract: In this paper, we propose a generalized explicit algorithm for approximating the common solution of generalized split feasibility problem and the fixed point of demigeneralized mapping in uniformly smooth and 2-uniformly convex real Banach spaces.…
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Keywords:
generalized split;
problem;
feasibility problem;
split feasibility ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14030537
Abstract: The aim of this article is to introduce the Douglas–Rachford splitting method with linearization to solve the split feasibility problem (SFP). Our proposed method includes two existing methods in work of Tang et al. and…
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Keywords:
split feasibility;
method linearization;
feasibility problem;
splitting method ... See more keywords