Least Change Secant Update Methods for Nonlinear Complementarity Problem
Fecha
2014-05-20
Autores
Arenas A., Favián
Martínez, Héctor J.
Pérez, Rosana
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Título de la revista
ISSN de la revista
1794–9165
Título del volumen
Editor
Universidad EAFIT
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Resumen
Descripción
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