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Titre: | Interior-point method for weighted quadratic programming |
Auteur(s): | Abiza, Rahima Rebiga, Sarra |
Mots-clés: | Quadratic programming Interior-point methods Full-Newton step Weight vector |
Date de publication: | 2025 |
Résumé: | In this study, we present a new algorithm based on the feasible interior-point
method of the primal-dual type, which relies on the weighted central path and
the full Newton step, for solving convex quadratic programming problems. By
applying an algebraic equivalent transformation to the weighted central path
equation, we obtained new Newton directions. To prove that the proposed
algorithm achieves an optimal complexity bound, we established sufficient and
appropriate conditions to guarantee this result. Finally, we presented numerical
results that confirm the effectiveness and efficiency of the developed algorithm |
URI/URL: | http://dspace.univ-setif.dz:8888/jspui/handle/123456789/5487 |
Collection(s) : | Mémoires de master
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