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

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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 KuhnTucker conditions are first order necessary conditions for a solution in nonlinear programming. Under, certain specific circumstances, KuhnTucker 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.
Item Type:  MPRA Paper 

Original Title:  KuhnTucker theorem foundations and its application in mathematical economics 
Language:  English 
Keywords:  KuhnTucker conditions, nonlinear optimization, mathematical economics 
Subjects:  C  Mathematical and Quantitative Methods > C6  Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C60  General C  Mathematical and Quantitative Methods > C6  Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61  Optimization Techniques ; Programming Models ; Dynamic Analysis 
Item ID:  50598 
Depositing User:  DJ Josheski 
Date Deposited:  14 Oct 2013 09:11 
Last Modified:  26 Sep 2019 08:30 
References:  1. Kuhn H.Tucker(1950). A, NonLinear Programming, Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probality, University of California Press, Berkeley, California, 1950 2. Chiang, A., Wainwright, K.,(2005), Fundamental methods of mathematical economics, 4thed.,Mcgraw Hill 3. Wainwright K.,(2007), Econ 400 lecture notes, Simon Fraser University 4. Varian, R.,H.,(1992),Microeconomic analysis, third edition 5. Kimball, W. S., Calculus of Variations by Parallel Displacement.London: Butterworth, p. 292, 1952. 6. E3mlab,Lecture notes,(2011),Basics for mathematical economics,National technical university of Athens, Institute of communications and computer systems 
URI:  https://mpra.ub.unimuenchen.de/id/eprint/50598 