A new filter method for solving nonlinear complementarity problems

作者:

Highlights:

摘要

Recently, filter methods are extensively studied to handle nonlinear programming problems. Because of good numerical results, filter techniques are attached importance to. In this paper, filter approaches are employed to tackle nonlinear complementarity problems. Furthermore, a new filter algorithm is brought forward. Under a proper condition, local Q-superlinear and Q-quadratic convergence of the algorithm is established.

论文关键词:Filter method,Nonlinear complementarity problem,Trust region method,Smoothing method,Convergence analysis

论文评审过程:Available online 1 September 2006.

论文官网地址:https://doi.org/10.1016/j.amc.2006.07.078