Exposition of Karush-Kuhn-Tucker Theorem

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dc.contributor.authorWanigasekara, G.P.D.W.en_US
dc.contributor.authorTakao Fujimotoen_US
dc.date.accessioned2014-12-23T08:31:12Z
dc.date.available2014-12-23T08:31:12Z
dc.date.issued2014
dc.description.abstractKarush-Kuhn-Tucker (KKT) theorem is a fundamental theorem in nonlinear programming. This KKT theorem is a proposition, which extends the Lagrange multipliers method to the case of inequality constraints, and characterizes the necessary conditions for the solution(s) to be optimum.en_US
dc.identifier.citationAnnual Research Symposium,Faculty of Graduate Studies, University of Kelaniya, Sri Lanka; 2014 :110pen_US
dc.identifier.departmentStatistics & Computer Scienceen_US
dc.identifier.urihttp://repository.kln.ac.lk/handle/123456789/4919
dc.publisherBook of Abstracts, Annual Research Symposium 2014en_US
dc.titleExposition of Karush-Kuhn-Tucker Theorem
dc.typeArticleen_US

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