Please use this identifier to cite or link to this item:
http://repository.kln.ac.lk/handle/123456789/4919
Full metadata record
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 |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.