A Strong Convergence Theorem for Solving the Split Equality Fixed Point Problem

Xueling Zhou, Mei-xia Li, Hai-tao Che
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Abstract

In this paper, we study the split equality fixed point problem and propose a new iterative algorithm with a self-adaptive stepsize that does not need the prior information of the operator norms and is calculated easily. The L-Lipschitz and quasi-pseudo-contractive mappings are chosen as the operators in the algorithm since they have a wider range of applications. Moreover, we prove that the sequence generated by the algorithm strongly converges to the solution of the problem. Finally, we check the feasibility and effectiveness of the algorithm by comparing with other algorithms.
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解分裂等式不动点问题的一个强收敛定理
本文研究了分裂等式不动点问题,提出了一种新的步长自适应迭代算法,该算法不需要算子范数的先验信息,计算方便。算法中选择L-Lipschitz映射和拟伪压缩映射作为算子,因为它们具有更广泛的应用范围。此外,我们还证明了算法生成的序列强收敛于问题的解。最后,通过与其他算法的比较,验证了该算法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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