| 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 |