Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/395560
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dc.contributor.authorYosza Dasril-
dc.contributor.authorIsmail Mohd-
dc.contributor.authorAzman Awang Teh-
dc.date.accessioned2023-06-15T08:03:17Z-
dc.date.available2023-06-15T08:03:17Z-
dc.identifier.otherukmvital:130154-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/395560-
dc.description.abstractIn this paper, we represent a method which based on the violated constraints by the unconstrained minimum of the objective function of the convex programming problem for exploring, locating and computing the optimal solution of the problem without using additional information as have been done in most of the favorite established methods in literature. In order to obtain the unconstrained minimum we used the steepest descent method, where the step size has playing an important role. There are several well-known procedures to determine the best step size. In this research we used the fixed-range step size procedure for fast-converge to the solution. The results show that our exploration method never fails to obtain the optimal solution.-
dc.language.isoeng-
dc.publisherUniversiti Teknikal Malaysia Melaka-
dc.subjectConstraint exploration method-
dc.subjectUnconstrained minimum-
dc.subjectConstrained minimum-
dc.subjectOptimal solution-
dc.subjectConvex-
dc.titleConstraints exploration method for convex optimization-
dc.typeSeminar Papers-
dc.identifier.callnoTA160.S449 2008 sem-
dc.contributor.conferencenameSeminar Pencapaian Penyelidikan UTeM-
dc.coverage.conferencelocationBayview Hotel, Malacca, Malaysia-
dc.date.conferencedate03/12/2008-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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