New inertial relaxed CQ regularization methods for the multiple-sets splitting feasibility problem

Wenting Chen, Mei-xia Li
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Abstract

The multiple-sets splitting feasibility problem (MSSFP) is the extension of splitting feasibility problem. This problem has been widely used in visual neural network and fuzzy image processing system. In this article, we offer the regularization methods of the inertial relaxed CQ algorithm, where the choice of parameters is not related to the operator norm. Under certain conditions, the weak convergence of the sequences is proved. In addition, the convergence of the algorithm is verified by numerical experiments.
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多集分裂可行性问题的惯性松弛CQ正则化新方法
多集分裂可行性问题(MSSFP)是分裂可行性问题的扩展。该问题在视觉神经网络和模糊图像处理系统中得到了广泛的应用。本文给出了惯性松弛CQ算法的正则化方法,其中参数的选择与算子范数无关。在一定条件下,证明了序列的弱收敛性。通过数值实验验证了算法的收敛性。
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