AbstractA maximization problem with linear inequality constraints and different kinds of nonconcave objective functions is considered. By means of parametric quadratic programming, the solution of the original problem is reduced to the determination of the absolute maximum of a continuous function of one variable on a bounded interval
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
ABSTRACT In this paper, we consider the problem of minimization of an objective function having cont...
Abstract In this paper, the nonlinear minimax problems with inequality constraints are discussed. Ba...
AbstractA maximization problem with linear inequality constraints and different kinds of nonconcave ...
AbstractThis paper deals with the maximization of linearly constrained positive polynomials (posynom...
In this paper, we present a nonparametric linear programming estimation method of unique unknown obj...
In this paper, a method for solving constrained convex optimization problems is introduced. The prob...
. We introduce a new method for maximizing a concave quadratic function with bounds on the variables...
It has been shown by Fiacco that convexity or concavity of the optimal value of a parametric nonline...
The content of this work is a presentation of algorithms solving optimization problems with a max-se...
Since the appearance of a paper by H. Tui, maximization of convex function over a polytope has attra...
summary:The paper deals with an adaptation of Newton's method for solving nonlinear programming prob...
The non-linear programming problem seeks to maximize a function f(x) where the n component vector x ...
The aim of this paper is to show how a wide class of generalized quadratic programs can be solved, i...
AbstractThis paper proposes an algebra approach for solving the linearly constrained continuous quas...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
ABSTRACT In this paper, we consider the problem of minimization of an objective function having cont...
Abstract In this paper, the nonlinear minimax problems with inequality constraints are discussed. Ba...
AbstractA maximization problem with linear inequality constraints and different kinds of nonconcave ...
AbstractThis paper deals with the maximization of linearly constrained positive polynomials (posynom...
In this paper, we present a nonparametric linear programming estimation method of unique unknown obj...
In this paper, a method for solving constrained convex optimization problems is introduced. The prob...
. We introduce a new method for maximizing a concave quadratic function with bounds on the variables...
It has been shown by Fiacco that convexity or concavity of the optimal value of a parametric nonline...
The content of this work is a presentation of algorithms solving optimization problems with a max-se...
Since the appearance of a paper by H. Tui, maximization of convex function over a polytope has attra...
summary:The paper deals with an adaptation of Newton's method for solving nonlinear programming prob...
The non-linear programming problem seeks to maximize a function f(x) where the n component vector x ...
The aim of this paper is to show how a wide class of generalized quadratic programs can be solved, i...
AbstractThis paper proposes an algebra approach for solving the linearly constrained continuous quas...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
ABSTRACT In this paper, we consider the problem of minimization of an objective function having cont...
Abstract In this paper, the nonlinear minimax problems with inequality constraints are discussed. Ba...