Add to ORKGSeparable Programming is the approach used to solve nonlinier problems with the Simplex Method. This method is proven to solve nonlinier problem, which until now has no way like the standard linear programming problems. This paper tries to compare the process and results of  Separable Programming approach to the Kuhn-Tucker Condition. Proved that both give similar result, but in a different way. Separable Programming Approach should be used to solve nonlinear problems who have difficulty when solved by the Kuhn-Tucker Conditions Approach.  Keywords:  separable programming, the Kuhn-Tucker Conditions, nonlinier programming, grid point, convex, concave, criteria, formulation, optima
For a locally optimal solution to the nonlinear semidefinite programming problem, under Robinson’s c...
A discrete optimization method, which is called modular approach, is proposed for solving a separabl...
This paper presents a general definition of algorithmic convergence in mathematical programming and ...
on a comparative study of the methods of solving Non-linear programming (NLP) problem. We know that ...
The assumed global optimum solution obtained in linear programming is not an assumed characteristic ...
The assumed global optimum solution obtained in linear programming is not an assumed characteristic ...
In this book, the author considers separable programming and, in particular, one of its important ca...
In this paper the issue of mathematical programming and optimization has being revisited. The theor...
We consider two nonlinear programming problems with nonsmooth functions. The necessary and sufficien...
sequential convex programming, penalty method, barrier method, reduced gradient method, interior poi...
In this dissertation consideration is given to the optimization of a function of n variables subject...
In this note we give an elementary proof of the Fritz-John and Karush–Kuhn–Tucker conditions for non...
Nonlinear Programming: Theory and Algorithms?now in an extensively updated Third Edition?addresses t...
One way to approach constrained minimization problems on E " and, in particular, nonlinear ...
In this paper the issue of mathematical programming and optimization has being revisited. The theory...
For a locally optimal solution to the nonlinear semidefinite programming problem, under Robinson’s c...
A discrete optimization method, which is called modular approach, is proposed for solving a separabl...
This paper presents a general definition of algorithmic convergence in mathematical programming and ...
on a comparative study of the methods of solving Non-linear programming (NLP) problem. We know that ...
The assumed global optimum solution obtained in linear programming is not an assumed characteristic ...
The assumed global optimum solution obtained in linear programming is not an assumed characteristic ...
In this book, the author considers separable programming and, in particular, one of its important ca...
In this paper the issue of mathematical programming and optimization has being revisited. The theor...
We consider two nonlinear programming problems with nonsmooth functions. The necessary and sufficien...
sequential convex programming, penalty method, barrier method, reduced gradient method, interior poi...
In this dissertation consideration is given to the optimization of a function of n variables subject...
In this note we give an elementary proof of the Fritz-John and Karush–Kuhn–Tucker conditions for non...
Nonlinear Programming: Theory and Algorithms?now in an extensively updated Third Edition?addresses t...
One way to approach constrained minimization problems on E " and, in particular, nonlinear ...
In this paper the issue of mathematical programming and optimization has being revisited. The theory...
For a locally optimal solution to the nonlinear semidefinite programming problem, under Robinson’s c...
A discrete optimization method, which is called modular approach, is proposed for solving a separabl...
This paper presents a general definition of algorithmic convergence in mathematical programming and ...