A Common Solution of Equilibrium, Constrained Convex Minimization, and Fixed Point Problems

IF 0.7 Q2 MATHEMATICS
M. Yazdi
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引用次数: 0

Abstract

In this paper, we propose a new iterative scheme with the help of the gradient- projection algorithm (GPA) for finding a common solution of an equilibrium problem, a constrained convex minimization problem, and a fixed point problem. Then, we prove some strong convergence theorems which improve and extend some recent results. Moreover, we give a numerical result to show the validity of our main theorem.
平衡、约束凸最小化和不动点问题的一般解
本文提出了一种利用梯度投影算法求解平衡问题、约束凸最小化问题和不动点问题公解的新迭代格式。然后,我们证明了一些强收敛定理,这些定理改进和推广了最近的一些结果。并给出了一个数值结果来证明主要定理的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
11
期刊介绍: To promote research interactions between local and overseas researchers, the Department has been publishing an international mathematics journal, the Tamkang Journal of Mathematics. The journal started as a biannual journal in 1970 and is devoted to high-quality original research papers in pure and applied mathematics. In 1985 it has become a quarterly journal. The four issues are out for distribution at the end of March, June, September and December. The articles published in Tamkang Journal of Mathematics cover diverse mathematical disciplines. Submission of papers comes from all over the world. All articles are subjected to peer review from an international pool of referees.
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