Add to ORKGIn 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
URL des Cahiers : http://mse.univ-paris1.fr/MSEFramCahier2006.htmCahiers de la Maison des Sciences E...
This paper points out that the treatment of utility maximization in current textbooks on microeconom...
By using the concept of Fréchet differentiability of mapping, we present the Kuhn-Tucker optim...
In this paper the issue of mathematical programming and optimization has being revisited. The theory...
The optimization problems are not so important now in the field of production. But in the minimizati...
Lagrange multipliers, penalty methods, and Kuhn-Tucker's theory are some important mathematical tool...
We consider two nonlinear programming problems with nonsmooth functions. The necessary and sufficien...
The Kuhn-Tucker theorem in nondifferential form is a well-known classical optimality criterion for a...
URL des Cahiers : https://halshs.archives-ouvertes.fr/CAHIERS-MSEVoir aussi l'article basé sur ce do...
on a comparative study of the methods of solving Non-linear programming (NLP) problem. We know that ...
Necessary and sufficient conditions for the problem of maximizing or minimizing a function subject t...
One way to approach constrained minimization problems on E " and, in particular, nonlinear ...
Mathematically, most of the interesting optimization problems can be formulated to optimize some obj...
AbstractIt is shown that the Kuhn-Tucker sufficiency conditions lack invariance in that the applicab...
Separable Programming is the approach used to solve nonlinier problems with the Simplex Method. This...
URL des Cahiers : http://mse.univ-paris1.fr/MSEFramCahier2006.htmCahiers de la Maison des Sciences E...
This paper points out that the treatment of utility maximization in current textbooks on microeconom...
By using the concept of Fréchet differentiability of mapping, we present the Kuhn-Tucker optim...
In this paper the issue of mathematical programming and optimization has being revisited. The theory...
The optimization problems are not so important now in the field of production. But in the minimizati...
Lagrange multipliers, penalty methods, and Kuhn-Tucker's theory are some important mathematical tool...
We consider two nonlinear programming problems with nonsmooth functions. The necessary and sufficien...
The Kuhn-Tucker theorem in nondifferential form is a well-known classical optimality criterion for a...
URL des Cahiers : https://halshs.archives-ouvertes.fr/CAHIERS-MSEVoir aussi l'article basé sur ce do...
on a comparative study of the methods of solving Non-linear programming (NLP) problem. We know that ...
Necessary and sufficient conditions for the problem of maximizing or minimizing a function subject t...
One way to approach constrained minimization problems on E " and, in particular, nonlinear ...
Mathematically, most of the interesting optimization problems can be formulated to optimize some obj...
AbstractIt is shown that the Kuhn-Tucker sufficiency conditions lack invariance in that the applicab...
Separable Programming is the approach used to solve nonlinier problems with the Simplex Method. This...
URL des Cahiers : http://mse.univ-paris1.fr/MSEFramCahier2006.htmCahiers de la Maison des Sciences E...
This paper points out that the treatment of utility maximization in current textbooks on microeconom...
By using the concept of Fréchet differentiability of mapping, we present the Kuhn-Tucker optim...