On a semismooth least squares formulation of complementarity problems with gap reduction

We present a nonsmooth least squares reformulation of the complementarity problem and investigate its convergence properties. The global and local fast convergence results (under mild assumptions) are similar to some existing equation-based methods. In fact, our least squares formulation is obtained...

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Hauptverfasser: Kanzow, Christian (VerfasserIn) , Petra, Stefania (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 04 Feb 2008
In: Optimization methods & software
Year: 2004, Jahrgang: 19, Heft: 5, Pages: 507-525
ISSN:1029-4937
DOI:10.1080/10556780410001683096
Online-Zugang:Resolving-System, Volltext: http://dx.doi.org/10.1080/10556780410001683096
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Verfasserangaben:Christian Kanzow, Stefania Petra

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520 |a We present a nonsmooth least squares reformulation of the complementarity problem and investigate its convergence properties. The global and local fast convergence results (under mild assumptions) are similar to some existing equation-based methods. In fact, our least squares formulation is obtained by modifying one of these equation-based methods (using the Fischer-Burmeister function) in such a way that we overcome a major drawback of this equation-based method. The resulting nonsmooth Levenberg-Marquardt-type method turns out to be significantly more robust than the corresponding equation-based method. This is illustrated by our numerical results using the MCPLIB test problem collection. 
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650 4 |a Complementarity problems 
650 4 |a Global convergence 
650 4 |a Nonlinear least squares reformulation 
650 4 |a Quadratic convergence 
650 4 |a Semismooth functions 
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