Munich Personal RePEc Archive

Kuhn-Tucker theorem foundations and its application in mathematical economics

Josheski, Dushko and Gelova, Elena (2013): Kuhn-Tucker theorem foundations and its application in mathematical economics.

[img]
Preview
PDF
MPRA_paper_50598.pdf

Download (314kB) | Preview

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.

UB_LMU-Logo
MPRA is a RePEc service hosted by
the Munich University Library in Germany.