Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/83888
Authors: 
Josheski, Dushko
Gelova, Elena
Year of Publication: 
2013
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.
Subjects: 
Kuhn-Tucker conditions
nonlinear programming
JEL: 
C60
C61
Document Type: 
Preprint

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