Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/1706
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dc.contributor.authorOyewola, David O.-
dc.contributor.authorHakimi, Danladi-
dc.contributor.authorYahaya, Yusuph-
dc.contributor.authorBolarin, Gbolahan-
dc.date.accessioned2021-06-06T11:09:39Z-
dc.date.available2021-06-06T11:09:39Z-
dc.date.issued2015-08-
dc.identifier.citationD.O. Oyewola, D. Hakimi, Y. Yahaya & G. Bolarin (2015), Lagrangian-Dual and Sensitivity Analysis in Portfolio Selection, African Journal of Computing & ICT (Official Publication of the Computer Chapter of the Nigerian Section of the IEEE), Vol 8. No. 2 Issue 2. https://afrjcict.net/wp-content/uploads/2017/08/vol-8-no-2-issue-2-august-2015merged.pdfen_US
dc.identifier.issn2006-1781-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/1706-
dc.description.abstractIn this paper, we consider the Lagrangian dual problem in portfolio optimization problems. The Lagrangian dual can be used to solve integer programming in which knapsack problem is one of them. We modelled Knapsack problem as a portfolio problem which consists of health care and oil and gas sector from 2010-2014. We used Lagrangian duality to solve the problem and the Lagrangian multiplier as the sensitivity coefficients.en_US
dc.language.isoenen_US
dc.publisherAfrican Journal of Computing & ICTen_US
dc.subjectKnapsack Problemen_US
dc.titleLagrangian-Dual and Sensitivity Analysis In Portfolio Selectionen_US
dc.typeArticleen_US
Appears in Collections:Mathematics

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