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A novel iterative algorithm with convergence analysis for split common fixed points and variational inequality problems

机译:一种新型迭代算法,具有分裂常见固定点的收敛分析和变分不等式问题

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We propose a new algorithm which can be considered as a combination between the subgradient extragradient method and viscosity methods for solving split common fixed points problem and variational inequality problem. We find a point which belongs to the set of common fixed points of a finite family of demimetric mappings and the common solutions to a system of variational inequalities problem for a family of monotone and Lipschitz continuous operators in a Hilbert space such that its image under a linear transformation belongs to the set of common fixed points of a finite family of demimetric mappings in uniformly convex and smooth Banach space in the image space. The strong convergence of the sequences generated by the algorithm is proved. We also give some numerical results which show that our proposed algorithms are efficient and implementable from the numerical point of view.
机译:我们提出了一种新的算法,可以被认为是子射出常见固定点问题和变分不等式问题的子辐射谱图方法和粘度方法之间的组合。 我们发现了一个分数,属于有限映射映射的一组共同的固定点,以及在希尔伯特空间中单调和嘴唇连续运营商的分析不平等问题的分解不平等问题系统的共同解决方案,使其在a下面的图像 线性变换属于在图像空间中的均匀凸起和平滑的Banach空间中的有限家族的一组共同的定性映射点。 证明了算法产生的序列的强大会聚。 我们还提供了一些数值结果,表明我们所提出的算法是高效可实现的,从数值的角度来看。

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