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A New Modified Hybrid Steepest-Descent by Using a Viscosity Approximation Method with a Weakly Contractive Mapping for a System of Equilibrium Problems and Fixed Point Problems with Minimization Problems

机译:带有最小收缩问题的系统的平衡问题和不动点问题系统的新型修正混合最速下降法,采用粘度近似方法与弱压缩映射

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The purpose of this paper is to consider a modified hybrid steepest-descent method by using a viscosity approximation method with a weakly contractive mapping for finding the common element of the set of a common fixed point for an infinite family of nonexpansive mappings and the set of solutions of a system of an equilibrium problem. The sequence is generated from an arbitrary initial point which converges in norm to the unique solution of the variational inequality under some suitable conditions in a real Hilbert space. The results presented in this paper generalize and improve the results of Moudafi (2000), Marino and Xu (2006), Tian (2010), Saeidi (2010), and some others. Finally, we give an application to minimization problems and a numerical example which support our main theorem in the last part.
机译:本文的目的是通过使用带有弱收缩映射的粘度逼近方法来研究改进的混合最速下降方法,以找到无限大的非膨胀映射族和一组不动点的公共不动点集的公共元素。平衡问题系统的解。该序列是从任意初始点生成的,该点在规范上收敛到实希尔伯特空间中某些适当条件下变分不等式的唯一解。本文介绍的结果概括并完善了Moudafi(2000),Marino和Xu(2006),Tian(2010),Saeidi(2010)等的结果。最后,我们给出了最小化问题的应用程序和一个数值示例,该示例在最后部分支持我们的主要定理。

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