Numerical experiments with two smoothing type-algorithms for nonlinear complementarity problems
In this paper we deal with the numerical experiments of two smoothing descent-type algorithms for solving nonlinear complementarity problems (NCP). The first algorithm is due to Kanzow and the second one is due to Peng. These algorithms are both based on the reformulation of (NCP) as unconstrained m...
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Format: | Article |
Language: | English |
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Publishing House of the Romanian Academy
2008-02-01
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Series: | Journal of Numerical Analysis and Approximation Theory |
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Online Access: | https://ictp.acad.ro/jnaat/journal/article/view/870 |
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author | M. Achache N. Boudiaf A. Keraghel |
author_facet | M. Achache N. Boudiaf A. Keraghel |
author_sort | M. Achache |
collection | DOAJ |
description | In this paper we deal with the numerical experiments of two smoothing descent-type algorithms for solving nonlinear complementarity problems (NCP). The first algorithm is due to Kanzow and the second one is due to Peng. These algorithms are both based on the reformulation of (NCP) as unconstrained minimization problems by using some smoothing merit functions including the so-called (NCP)-functions. Under suitable conditions they both showed that any stationary point of these problems are solutions of (NCP). For their numerical performances many strategies are used. Finally, these algorithms are applied to some problems of (NCP) found in the literature. |
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id | doaj.art-1bb366266a3148aabe26b0b53d499a1a |
institution | Directory Open Access Journal |
issn | 2457-6794 2501-059X |
language | English |
last_indexed | 2024-04-14T04:43:20Z |
publishDate | 2008-02-01 |
publisher | Publishing House of the Romanian Academy |
record_format | Article |
series | Journal of Numerical Analysis and Approximation Theory |
spelling | doaj.art-1bb366266a3148aabe26b0b53d499a1a2022-12-22T02:11:33ZengPublishing House of the Romanian AcademyJournal of Numerical Analysis and Approximation Theory2457-67942501-059X2008-02-01371Numerical experiments with two smoothing type-algorithms for nonlinear complementarity problemsM. Achache0N. Boudiaf1A. Keraghel2Université Ferhat Abbas de SétifUniversité El Hadj Lakhdar, BatnaUniversité Ferhat Abbas de SétifIn this paper we deal with the numerical experiments of two smoothing descent-type algorithms for solving nonlinear complementarity problems (NCP). The first algorithm is due to Kanzow and the second one is due to Peng. These algorithms are both based on the reformulation of (NCP) as unconstrained minimization problems by using some smoothing merit functions including the so-called (NCP)-functions. Under suitable conditions they both showed that any stationary point of these problems are solutions of (NCP). For their numerical performances many strategies are used. Finally, these algorithms are applied to some problems of (NCP) found in the literature.https://ictp.acad.ro/jnaat/journal/article/view/870nonlinear complementarity problemssmoothing descent-type optimization methodsmerit functions(NCP)-functions |
spellingShingle | M. Achache N. Boudiaf A. Keraghel Numerical experiments with two smoothing type-algorithms for nonlinear complementarity problems Journal of Numerical Analysis and Approximation Theory nonlinear complementarity problems smoothing descent-type optimization methods merit functions (NCP)-functions |
title | Numerical experiments with two smoothing type-algorithms for nonlinear complementarity problems |
title_full | Numerical experiments with two smoothing type-algorithms for nonlinear complementarity problems |
title_fullStr | Numerical experiments with two smoothing type-algorithms for nonlinear complementarity problems |
title_full_unstemmed | Numerical experiments with two smoothing type-algorithms for nonlinear complementarity problems |
title_short | Numerical experiments with two smoothing type-algorithms for nonlinear complementarity problems |
title_sort | numerical experiments with two smoothing type algorithms for nonlinear complementarity problems |
topic | nonlinear complementarity problems smoothing descent-type optimization methods merit functions (NCP)-functions |
url | https://ictp.acad.ro/jnaat/journal/article/view/870 |
work_keys_str_mv | AT machache numericalexperimentswithtwosmoothingtypealgorithmsfornonlinearcomplementarityproblems AT nboudiaf numericalexperimentswithtwosmoothingtypealgorithmsfornonlinearcomplementarityproblems AT akeraghel numericalexperimentswithtwosmoothingtypealgorithmsfornonlinearcomplementarityproblems |