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Viscosity Approximation Methods with Errors and Strong Convergence Theorems for a Common Point of Pseudocontractive and Monotone Mappings: Solutions of Variational Inequality Problems

机译:伪压缩和单调映象公共点的具有误差和强收敛性定理的粘度逼近方法:变分不等式问题的解

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摘要

We introduce two proximal iterative algorithms with errors which converge strongly to the common solution of certain variational inequality problems for a finite family of pseudocontractive mappings and a finite family of monotone mappings. The strong convergence theorems are obtained under some mild conditions. Our theorems extend and unify some of the results that have been proposed for this class of nonlinear mappings.
机译:我们介绍了两种具有误差的近端迭代算法,这些算法强烈收敛于有限变分不对称映射和有限单调映射的某些变分不等式问题的通用解。在某些温和条件下可获得强收敛定理。我们的定理扩展并统一了针对此类非线性映射所提出的一些结果。

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