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首页> 外文期刊>Journal of inequalities and applications >Weak convergence theorem for variational inequality problems with monotone mapping in Hilbert space
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Weak convergence theorem for variational inequality problems with monotone mapping in Hilbert space

机译:Hilbert空间中带单调映射的变分不等式问题的弱收敛定理

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摘要

We know that variational inequality problem is very important in the nonlinear analysis. The main purpose of this paper is to propose an iterative method for finding an element of the set of solutions of a variational inequality problem with a monotone and Lipschitz continuous mapping in Hilbert space. This iterative method is based on the extragradient method. We get a weak convergence theorem. Using this result, we obtain three weak convergence theorems for the equilibrium problem, the constrained convex minimization problem, and the split feasibility problem.
机译:我们知道,变分不等式问题在非线性分析中非常重要。本文的主要目的是提出一种迭代方法,用于寻找希尔伯特空间中具有单调和Lipschitz连续映射的变分不等式问题集的元素。此迭代方法基于超梯度方法。我们得到一个弱收敛定理。利用这个结果,我们获得了三个弱收敛定理,分别用于平衡问题,约束凸最小化问题和分裂可行性问题。

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