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首页> 外文期刊>International journal of computer mathematics >Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem
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Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem

机译:求解普通定点问题的广义自适应算法及其在图像恢复问题的应用

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ABSTRACT In this work, we introduce a self-adaptive algorithm, based on viscosity approximation methods, to solve split common fixed point problems of demicontractive operators in real Hilbert spaces. Besides, the strong convergence theorem for the algorithm is established under some additional assumptions. On top of that, numerical results on image restoration problems are given. It shows that our proposed algorithm is efficient and outperforms the other algorithms for this experiment.
机译:摘要在这项工作中,我们介绍了一种基于粘度逼近方法的自适应算法,解决了真正的希尔伯特空间中脱尼克加恩算子的分裂常见的固定点问题。此外,在一些额外的假设下建立了该算法的强大收敛定理。首先,给出了图像恢复问题的数值结果。它表明我们所提出的算法是有效和优于该实验的其他算法。

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