Kuhn-Tucker theorem foundations and its application in mathematical economics
AbstractIn 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 50598.
Date of creation: 12 Oct 2013
Date of revision:
Kuhn-Tucker conditions; nonlinear optimization; mathematical economics;
Find related papers by JEL classification:
- C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
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