A subgradient algorithm for a class of nonlinear split feasibility problems: application to jointly constrained Nash equilibrium models
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Global Optimization"
DOI: 10.1007/s10898-018-00735-0
Abstract: In this paper we propose an algorithm for solving the split feasibility problem $$x\in C, Ax\in Q$$x∈C,Ax∈Q with C being the solution set of an equilibrium problem and A can be nonlinear. The proposed algorithm… read more here.
Keywords: split feasibility; equilibrium; jointly constrained; constrained nash ... See more keywords
On the convergence analysis of the gradient-CQ algorithms for the split feasibility problem
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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… read more here.
Keywords: feasibility problem; gradient algorithms; split feasibility;
Convergence analysis for the proximal split feasibility problem using an inertial extrapolation term method
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Fixed Point Theory and Applications"
DOI: 10.1007/s11784-017-0435-z
Abstract: In this paper, we present a proximal split feasibility algorithm with an additional inertial extrapolation term for solving a proximal split feasibility problem under weaker conditions on the step sizes. The two convex and lower… read more here.
Keywords: split feasibility; inertial extrapolation; proximal split; split ... See more keywords
A New CQ Algorithm for Solving Split Feasibility Problems in Hilbert Spaces
Sign Up to like & getrecommendations! Published in 2019 at "Bulletin of the Malaysian Mathematical Sciences Society"
DOI: 10.1007/s40840-018-0614-0
Abstract: In this paper, we propose a CQ-type algorithm for solving the split feasibility problem (SFP) in real Hilbert spaces. The algorithm is designed such that the step-sizes are directly computed at each iteration. We will… read more here.
Keywords: split feasibility; new algorithm; hilbert spaces; algorithm solving ... See more keywords
Gradient methods with selection technique for the multiple-sets split feasibility problem
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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… read more here.
Keywords: selection technique; split feasibility; feasibility problem; sets split ... See more keywords
Generalized relaxed inertial method with regularization for solving split feasibility problems in real Hilbert spaces
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DOI: 10.1142/s1793557122501066
Abstract: In this paper, we propose a new modified relaxed inertial regularization method for finding a common solution of a generalized split feasibility problem, the zeros of sum of maximal monotone operators, and fixed point problem… read more here.
Keywords: real hilbert; split feasibility; hilbert spaces; method ... See more keywords
New Inertial Relaxed CQ Algorithms for Solving Split Feasibility Problems in Hilbert Spaces
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DOI: 10.1155/2021/6624509
Abstract: The split feasibility problem has received much attention due to its various applications in signal processing and image reconstruction. In this paper, we propose two inertial relaxed algorithms for solving the split feasibility problem in… read more here.
Keywords: split feasibility; algorithms solving; inertial relaxed; solving split ... See more keywords
An Efficient Iterative Algorithm for Solving the Split Feasibility Problem in Hilbert Spaces Applicable in Image Deblurring, Signal Recovering, and Polynomiography
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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.… read more here.
Keywords: image deblurring; feasibility problem; efficient iterative; deblurring signal ... See more keywords
Some algorithms for classes of split feasibility problems involving paramonotone equilibria and convex optimization
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DOI: 10.1186/s13660-019-2030-x
Abstract: In this paper, we first introduce a new algorithm which involves projecting each iteration to solve a split feasibility problem with paramonotone equilibria and using unconstrained convex optimization. The strong convergence of the proposed algorithm… read more here.
Keywords: convex optimization; split feasibility; optimization; paramonotone equilibria ... See more keywords
An intermixed iteration for constrained convex minimization problem and split feasibility problem
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DOI: 10.1186/s13660-019-2222-4
Abstract: In this paper, we first introduce the two-step intermixed iteration for finding the common solution of a constrained convex minimization problem, and also we prove a strong convergence theorem for the intermixed algorithm. By using… read more here.
Keywords: intermixed iteration; minimization problem; split feasibility; convex minimization ... See more keywords
Strong Convergence Theorems for Generalized Split Feasibility Problems in Banach Spaces
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DOI: 10.3390/math8060892
Abstract: In this paper, we establish new strong convergence theorems of proposed algorithms under suitable new conditions for the generalized split feasibility problem in Banach spaces. As applications, new strong convergence theorems for equilibrium problems, fixed… read more here.
Keywords: split feasibility; convergence theorems; banach spaces; generalized split ... See more keywords