Exposition of Karush-Kuhn-Tucker Theorem

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DC Field	Value	Language
dc.contributor.author	Wanigasekara, G.P.D.W.	en_US
dc.contributor.author	Takao Fujimoto	en_US
dc.date.accessioned	2014-12-23T08:31:12Z	-
dc.date.available	2014-12-23T08:31:12Z	-
dc.date.issued	2014	-
dc.identifier.citation	Annual Research Symposium,Faculty of Graduate Studies, University of Kelaniya, Sri Lanka; 2014 :110p	en_US
dc.identifier.uri	http://repository.kln.ac.lk/handle/123456789/4919	-
dc.description.abstract	Karush-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.publisher	Book of Abstracts, Annual Research Symposium 2014	en_US
dc.title	Exposition of Karush-Kuhn-Tucker Theorem	-
dc.type	Article	en_US
dc.identifier.department	Statistics & Computer Science	en_US
Appears in Collections:	ARS - 2014

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