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Smoothing Newton method for NCP with the identification of degenerate indices

机译:NCP的光滑牛顿法与退化指标的识别。

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We present a new smoothing Newton method for nonlinear complementarity problems (NCP(F)) by using an NCP function to reformulate the problem to its equivalent form. Compared with most current smoothing methods, our method contains an estimating technique based on the active-set strategy. This technique focuses on the identification of the degenerate set for a solution x* of the NCP(F). The proposed method has the global convergence, each accumulation point is a solution of the problem. The introduction of the active-set strategy effectively reduces the scale of the problem. Under some regularity assumption, the degenerate set can be identified correctly near the solution and local superlinear convergence is obtained as well.
机译:我们提出了一种新的平滑牛顿法,用于解决非线性互补问题(NCP(F)),方法是使用NCP函数将问题重新构造为等效形式。与大多数当前的平滑方法相比,我们的方法包含基于主动集策略的估计技术。该技术着重于NCP(F)解x *的简并集的识别。所提出的方法具有全局收敛性,每个累积点都是该问题的解决方案。主动集策略的引入有效地减小了问题的规模。在一定规律性假设下,可以在解附近正确识别退化集合,并获得局部超线性收敛。

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