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A smoothing-type algorithm for solving nonlinear complementarity problems with a non-monotone line search

机译:非单调线搜索求解非线性互补问题的平滑型算法

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摘要

The smoothing-type algorithm has been successfully applied to solve various optimization problems. In general, the smoothing-type algorithm is designed based on some monotone line search. However, in order to achieve better numerical results, the non-monotone line search technique has been used in the numerical computations of some smoothing-type algorithms. In this paper, we propose a smoothing-type algorithm for solving the nonlinear complementarity problem with a non-monotone line search. We show that the proposed algorithm is globally and locally superlinearly convergent under suitable assumptions. The preliminary numerical results are also reported.
机译:平滑类型算法已成功应用于解决各种优化问题。通常,基于某些单调线搜索来设计平滑类型算法。但是,为了获得更好的数值结果,在某些平滑类型算法的数值计算中已经使用了非单调线搜索技术。在本文中,我们提出了一种用非单调线搜索来解决非线性互补问题的平滑型算法。我们表明,在适当的假设下,所提出的算法是全局和局部超线性收敛的。还报告了初步数值结果。

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