The conditions required for a solution of general non-linear programming problems of the form min{f(x): x є X, g(x) ≤ 0, h(x)=0}; where f is called the objective function, g the inequality constraint and. h the equality constraint, are presented in this thesis. The following cases are studied: (1) X, a finite dimensional space; f, a real valued function; and g and h finite dimensional vector functions. (2) X, an infinite dimensional space; f, a real valued function; and g and h either finite or infinite dimensional vector functions. An application of this type of problem to optimal control will be given and the recent developments in this area will be discussed.Science, Faculty ofMathematics, Department ofGraduat
We consider an abstract formulation for optimization problems in some Lp spaces. The variables are r...
In this note we give an elementary proof of the Fritz-John and Karush–Kuhn–Tucker conditions for non...
Linear programming allows for the optimization of linear functions with several variables. Linear op...
The non-linear programming problem seeks to maximize a function f(x) where the n component vector x ...
We consider infinite-dimensional nonlinear programming problems which consist of minimizing a functi...
We present a new class of algorithms for determining whether there exists a point x ɛ Rn satisfying ...
Programming problems are concerned with the efficient use or allocation of limited resources to meet...
AbstractNecessary conditions for the minimization of a differentiable function subject to differenti...
In this note we give a new, simple proof of the standard first and second order necessary conditions...
The content of this work is a presentation of algorithms solving optimization problems with a max-se...
In the last years, the nonlinear programming techniques have shown to be an effective approach to th...
Nonlinear Programming: Theory and Algorithms?now in an extensively updated Third Edition?addresses t...
ABSTRACT In this paper, we consider the problem of minimization of an objective function having cont...
In this paper, a new augmented Lagrangian function is introduced for solving nonlinear programming p...
AbstractThis paper proposes a new method to solve general constrained optimization problem. The prob...
We consider an abstract formulation for optimization problems in some Lp spaces. The variables are r...
In this note we give an elementary proof of the Fritz-John and Karush–Kuhn–Tucker conditions for non...
Linear programming allows for the optimization of linear functions with several variables. Linear op...
The non-linear programming problem seeks to maximize a function f(x) where the n component vector x ...
We consider infinite-dimensional nonlinear programming problems which consist of minimizing a functi...
We present a new class of algorithms for determining whether there exists a point x ɛ Rn satisfying ...
Programming problems are concerned with the efficient use or allocation of limited resources to meet...
AbstractNecessary conditions for the minimization of a differentiable function subject to differenti...
In this note we give a new, simple proof of the standard first and second order necessary conditions...
The content of this work is a presentation of algorithms solving optimization problems with a max-se...
In the last years, the nonlinear programming techniques have shown to be an effective approach to th...
Nonlinear Programming: Theory and Algorithms?now in an extensively updated Third Edition?addresses t...
ABSTRACT In this paper, we consider the problem of minimization of an objective function having cont...
In this paper, a new augmented Lagrangian function is introduced for solving nonlinear programming p...
AbstractThis paper proposes a new method to solve general constrained optimization problem. The prob...
We consider an abstract formulation for optimization problems in some Lp spaces. The variables are r...
In this note we give an elementary proof of the Fritz-John and Karush–Kuhn–Tucker conditions for non...
Linear programming allows for the optimization of linear functions with several variables. Linear op...