Ingeniería y Ciencia (Jan 2015)

Least Change Secant Update Methods for Nonlinear Complementarity Problem

  • Favián Arenas A,
  • H J Martínez,
  • Rosana Pérez

DOI
https://doi.org/10.17230/ingciencia.11.21.1
Journal volume & issue
Vol. 11, no. 21

Abstract

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In this work, we introduce a family of Least Change Secant Update Methods for solving Nonlinear Complementarity Problems based on its reformulation as a nonsmooth system using the one-parametric class of nonlinear complementarity functions introduced by Kanzow and Kleinmichel. We prove local and superlinear convergence for the algorithms. Some numerical experiments show a good performance of this algorithm. MSC: 90C30, 90C33, 90C53

Keywords