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

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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.

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DOI

10.4208/jcm.1009-m3216

How to Cite

A Smoothing Trust Region Method for NCPs Based on the Smoothing Generalized Fischer-Burmeister Function. (2018). Journal of Computational Mathematics, 29(3), 261-286. https://doi.org/10.4208/jcm.1009-m3216