A Smoothing Trust Region Method for NCPs Based on the Smoothing Generalized Fischer-Burmeister Function

Authors

  • Xuebin Wang, Changfeng Ma, & Meiyan Li

DOI:

https://doi.org/10.4208/jcm.1009-m3216

Keywords:

Nonlinear complementarity problem, Smoothing method, Trust region method, Global convergence, Local superlinear convergence.

Abstract

Based on a reformulation of the complementarity problem as a system of nonsmooth equations by using the generalized Fischer-Burmeister function, a smoothing trust region algorithm with line search is proposed for solving general (not necessarily monotone) nonlinear complementarity problems. Global convergence and, under a nonsingularity assumption, local Q-superlinear/Q-quadratic convergence of the algorithm are established. In particular, it is proved that a unit step size is always accepted after a finite number of iterations. Numerical results also confirm the good theoretical properties of our approach.

Published

2018-08-22

Issue

Section

Articles