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Iterative methods for solving a class of monotone variational inequality problems with applications

机译:应用解决一类单调变分不等式问题的迭代方法

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摘要

In this paper, we provide a more general regularization method for seeking a solution to a class of monotone variational inequalities in a real Hilbert space, where the regularizer is a hemicontinuous and strongly monotone operator. As a discretization of the regularization method, we propose an iterative method. We then prove that the proposed iterative method converges in norm to a solution of the class of monotone variational inequalities. We also apply our results to the constrained minimization problem and the minimum-norm fixed point problem for a generalized Lipschitz continuous and pseudocontractive mapping. The results presented in the paper improve and extend recent ones in the literature.
机译:在本文中,我们提供了一种更通用的正则化方法,用于寻找实希尔伯特空间中一类单调变分不等式的解,其中正则化器是半连续且强单调算子。作为正则化方法的离散化,我们提出了一种迭代方法。然后,我们证明了所提出的迭代方法在范数上收敛于单调变分不等式的解。我们还将我们的结果应用于广义Lipschitz连续和伪压缩映射的约束最小化问题和最小范数不动点问题。本文中提出的结果改进和扩展了文献中的最新结果。

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