Kuhn-Tucker theorem foundations and its application in mathematical economics

Dushko Josheski () and Elena Gelova

MPRA Paper from University Library of Munich, Germany

Abstract: In this paper the issue of mathematical programming and optimization has being revisited. The theory of optimization deals with the development of models and methods that determine optimal solutions to mathematical problems defined. Mathematical model must be some function of any solution that accompanies a value which is a measure of quality. In mathematics Kuhn-Tucker conditions are first order necessary conditions for a solution in non-linear programming. Under, certain specific circumstances, Kuhn-Tucker conditions are necessary and sufficient conditions as well. In this paper it is also introduced the use of these mathematical methods of optimization in economics.

Keywords: Kuhn-Tucker conditions; nonlinear optimization; mathematical economics (search for similar items in EconPapers)
JEL-codes: C60 C61 (search for similar items in EconPapers)
Date: 2013-10-12
New Economics Papers: this item is included in nep-ore
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