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Iterative methods for solving the split common fixed point problem of demicontractive mappings in Hilbert spaces

机译:Hilbert空间中解压缩映射的分割公共不动点问题的迭代方法

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The split common fixed point problem was proposed in recent yearswhich required to find a common fixed point of a family of mappingsin one space whose image under a linear transformation is a commonfixed point of another family of mappings in the image space. Inthis paper, we study two iterative algorithms for solving this splitcommon fixed point problem for the class of demicontractive mappingsin Hilbert spaces. Under mild assumptions on the parameters, weprove the convergence of both iterative algorithms. As a consequence, we obtain new convergencetheorems for solving the splitcommon fixed point problem for the class of directed mappings. We compare the performance of the proposed iterativealgorithms with the existing iterative algorithms and conclude from the numerical experiments that our iterative algorithms converge faster thanthese existing iterative algorithms in terms of iteration numbers.
机译:近年来提出了分裂公共不动点问题,该问题要求在一个空间中找到一族映射的一个公共不动点,其线性变换下的图像是该图像空间中另一个映射族的一个公共不动点。在本文中,我们研究了两种迭代算法,用于解决希尔伯特空间中一类非压缩收缩映射的这种分裂公共不动点问题。在对参数进行温和假设的情况下,我们证明了两种迭代算法的收敛性。结果,我们获得了新的收敛定理,用于解决有向映射类的分裂公共不动点问题。我们将提出的迭代算法与现有迭代算法的性能进行了比较,并从数值实验中得出结论,就迭代次数而言,我们的迭代算法收敛速度比现有迭代算法快。

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