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

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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.

论文关键词:Nonlinear complementarity problem,Non-monotone line search,Smoothing-type algorithm,Global convergence,Superlinear convergence

论文评审过程:Available online 17 March 2010.

论文官网地址:https://doi.org/10.1016/j.amc.2010.03.058