An inertial parallel iterative method for solving generalized mixed equilibrium problems and common fixed point problem in reflexive Banach spaces

Nguyen Trung Hieu, Nguyen Van Dung
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Abstract

By combining the shrinking projection method with the parallel splitting-up technique and the inertial term, we introduce a new inertial parallel iterative method for finding common solutions of a finite system of generalized mixed equilibrium problems and common fixed points of a finite family of Bregman totally quasi-asymptotically nonexpansive mappings. After that, we prove a strong convergence result for the proposed iteration in reflexive Banach spaces. By this theorem, we obtain some convergence results for generalized mixed equilibrium problems in reflexive Banach spaces. In addition, we give a numerical example to illustrate the proposed iterations. The obtained results are improvements and extensions to some known results in this area.

解决反身巴拿赫空间中广义混合均衡问题和共同固定点问题的惯性并行迭代法
通过将收缩投影法与并行分割技术和惯性项相结合,我们引入了一种新的惯性并行迭代法,用于寻找广义混合平衡问题有限系统的公共解和布雷格曼完全准无穷映射有限族的公共定点。之后,我们证明了所提出的迭代在反身巴拿赫空间中的强收敛结果。通过这个定理,我们得到了反身巴拿赫空间中广义混合均衡问题的一些收敛结果。此外,我们还给出了一个数值示例来说明所提出的迭代。所获得的结果是对该领域一些已知结果的改进和扩展。
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