Two-step inertial accelerated algorithms for solving split feasibility problem with multiple output sets

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
C.C. Okeke , K.O. Okorie , C.E. Nwakpa , O.T. Mewomo
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引用次数: 0

Abstract

In this paper, we present and study two new two-step inertial accelerated algorithms for finding an approximate solution of split feasibility problems with multiple output sets. Our methods are extensions of CQ algorithms previously studied in the literature. In contrast to the related iterative methods for solving SFP, our methods incorporate a two-step inertial technique that speeds up the convergence rate of the generated sequences to the unique solution of SFP studied in this work. Furthermore, we present weak and strong convergence results where the strong convergence result of our method is obtained without the on-line rule, a feature absent in related algorithms in the literature. Finally, we demonstrate the applicability and performance of our algorithms through numerical experiments. Our numerical results reveal that our methods perform better than existing related methods in the literature.
解决多输出集分割可行性问题的两步惯性加速算法
在本文中,我们提出并研究了两种新的两步惯性加速算法,用于寻找具有多个输出集的分割可行性问题的近似解。我们的方法是之前文献中研究的 CQ 算法的扩展。与求解 SFP 的相关迭代方法相比,我们的方法采用了两步惯性技术,加快了生成序列对本研究中 SFP 唯一解的收敛速度。此外,我们还提出了弱收敛和强收敛结果,其中我们方法的强收敛结果是在没有在线规则的情况下获得的,这是文献中相关算法所不具备的特征。最后,我们通过数值实验证明了我们算法的适用性和性能。数值结果表明,我们的方法比现有文献中的相关方法性能更好。
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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