Programmation Convexe

dc.contributor.authorGori, Khaled
dc.contributor.authorTouil, Ben Salem
dc.date.accessioned2023-06-21T11:05:45Z
dc.date.available2023-06-21T11:05:45Z
dc.date.issued2014
dc.descriptionmémoire licence matimatuqueen_US
dc.description.abstractحالة optimisation sous contraintes قدمنا في هذا العمل الطرق الأكثر استعمالا لحل مسائل خاصي التحةد مممة فةي إثبةا وجةد وحدانية حةل .dualité المحدب .خاص طرق الإسقاط وطريق هذه المسائل واثبا تقار الطرق The main purpose of this paper is to provide a relatively complete description and analysis of the methods most commonly used in constrained optimization in the convex case. Particular projection methods and the method of duality. Convexity plays a very important role in the existence and uniqueness of the solution and also the convergence of these methods.en_US
dc.identifier.urihttp://dspace.univ-eloued.dz/handle/123456789/26745
dc.language.isofren_US
dc.publisheruniversity of eloued جامعة الواديen_US
dc.relation.ispartofseriesL510/;
dc.subjectOptimization, Convexity, Projection, convex Programming, Duality.en_US
dc.titleProgrammation Convexeen_US
dc.typeOtheren_US

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