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Iterative methods for finding the minimum-norm solution of the standard monotone variational inequality problems with applications in Hilbert spaces

机译:求标准单调变分不等式问题的最小范数解的迭代方法及其在希尔伯特空间中的应用

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In this paper, we introduce two kinds of iterative methods for finding the minimum-norm solution to the standard monotone variational inequality problems in a real Hilbert space. We then prove that the proposed iterative methods converge strongly to the minimum-norm solution of the variational inequality. Finally, we apply our results to the constrained minimization problem and the split feasibility problem as well as the minimum-norm fixed point problem for pseudocontractive mappings.
机译:在本文中,我们介绍了两种迭代方法,用于在真实的希尔伯特空间中找到标准单调变分不等式问题的最小范数解。然后,我们证明了所提出的迭代方法强烈收敛于变分不等式的最小范数解。最后,我们将结果应用于伪压缩映射的约束最小化问题和分裂可行性问题以及最小范数定点问题。

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