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首页> 外文期刊>Abstract and applied analysis >A Viscosity Hybrid Steepest Descent Method for Generalized Mixed Equilibrium Problems and Variational Inequalities for Relaxed Cocoercive Mapping in Hilbert Spaces
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A Viscosity Hybrid Steepest Descent Method for Generalized Mixed Equilibrium Problems and Variational Inequalities for Relaxed Cocoercive Mapping in Hilbert Spaces

机译:希尔伯特空间中广义缓和矫顽映射的混合混合均衡问题和变分不等式的粘性混合最速下降方法

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摘要

We present an iterative method for fixed point problems, generalized mixed equilibrium problems,and variational inequality problems. Our method is based on the so-called viscosity hybrid steepest descentmethod. Using this method, we can find the common element of the set of fixed points of a nonexpansive mapping, theset of solutions of generalized mixed equilibrium problems, and the set of solutions of variational inequality problems fora relaxed cocoercive mapping in a real Hilbert space. Then, we prove the strong convergence of the proposed iterativescheme to the unique solution of variational inequality. The results presented in this paper generalize and extend somewell-known strong convergence theorems in the literature.
机译:我们为定点问题,广义混合均衡问题和变分不等式问题提供了一种迭代方法。我们的方法基于所谓的粘度混合最速下降方法。使用这种方法,我们可以找到一个非膨胀映射的不动点集的公共元素,广义混合平衡问题的解集以及实希尔伯特空间中的松弛矫顽映射的变分不等式问题的解集。然后,我们证明了所提出的迭代方案与变分不等式的唯一解的强收敛性。本文提出的结果推广并扩展了文献中一些众所周知的强收敛定理。

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