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Comparison of Two Kinds of Prediction-Correction Methods for Monotone Variational Inequalities

机译:单调变分不等式的两种预测校正方法的比较

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摘要

In this paper, we study the relationship between the forward-backward splitting method and the extra-gradient method for monotone variational inequalities. Both of the methods can be viewed as prediction-correction methods. The only difference is that they use different search directions in the correction-step. Our analysis explains theoretically why the extra-gradient methods usually outperform the forward-backward splitting methods. We suggest some modifications for the two methods and numerical results are given to verify the superiority of the modified methods.
机译:在本文中,我们研究了单调变分不等式的前向后向拆分方法和超梯度方法之间的关系。两种方法都可以看作是预测校正方法。唯一的区别是,他们在校正步骤中使用了不同的搜索方向。我们的分析从理论上解释了为什么超梯度方法通常优于正反分裂方法。我们建议对这两种方法进行一些修改,并给出数值结果,以验证改进方法的优越性。

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