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Strong convergence of iterative algorithms with variable coefficients for asymptotically strict pseudocontractive mappings in the intermediate sense and monotone mappings

机译:中间意义上渐近严格伪压缩映象的变系数迭代算法的强收敛性

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In this article, we propose some iterative algorithms with variable coefficients for finding a common element of the set of fixed points of a uniformly continuous asymptotically κ-strict pseudocon-tractive mapping in the intermediate sense and the set of solutions of the variational inequality problem for a monotone, Lipschitz-continuous mapping. Some strong convergence theorems of these iterative algorithms are obtained without some boundedness assumptions and without some convergence condition. The results of the article improve and extend the recent results of Ceng and Yao, Nadezhkina and Takahashi, and several others. Mathematics Subject Classification (2000): 47H09; 47J20.
机译:在本文中,我们提出了一些具有可变系数的迭代算法,用于在中间意义上寻找均匀连续的渐近κ严格伪压缩映象的不动点集的公共元素以及变分不等式问题的解集。单调Lipschitz连续映射。这些迭代算法的一些强收敛定理是在没有某些有界性假设和没有某些收敛条件的情况下获得的。本文的结果改进和扩展了Ceng和Yao,Nadezhkina和Takahashi等人的最新结果。数学学科分类(2000):47H09; 47J20。

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