this paper we define Newton-type algorithms for the solution of box constrained quadratic programming problems. These algorithms are based on the unconstrained minimization of a continuously differentiable exact penalty function and make use of consistent approximations of the Newton's direction of the penalty function. Under suitable assumptions, finite termination at a solution of the constrained problem can be established
In this paper we consider a class of equality constrained optimization problems with box constraints...
A method for the solution of minimization problems with simple bounds is presented. Global convergen...
AbstractThis paper is an introduction to Newton, a constraint programming language over nonlinear re...
The main motivation of this paper is to weaken the conditions that imply the correspondence between ...
n this paper we define two classes of algorithms for the solution of constrained problems. The first...
. Exact penalty methods for the solution of constrained optimization problems are based on the const...
The aim of this paper is to propose an algorithm, based on the optimal level solutions method, which...
AbstractBased on the identification technique of active constraints, we propose a Newton-like algori...
In this paper we define a new continuously differentiable exact penalty function for the solution of...
In this paper a new continuously differentiable exact penalty function is introduced for the solutio...
AbstractRecent efforts in differentiable non-linear programming have been focused on interior point ...
In this paper formal definitions of exactness for penalty functions are introduced and sufficient co...
Abstract. We consider the following classes of nonlinear programming problems: the minimization of s...
Recent efforts in differentiable non-linear programming have been focused on interior point methods,...
In this paper it is shown that, given a nonlinear programming problem with inequality constraints, i...
In this paper we consider a class of equality constrained optimization problems with box constraints...
A method for the solution of minimization problems with simple bounds is presented. Global convergen...
AbstractThis paper is an introduction to Newton, a constraint programming language over nonlinear re...
The main motivation of this paper is to weaken the conditions that imply the correspondence between ...
n this paper we define two classes of algorithms for the solution of constrained problems. The first...
. Exact penalty methods for the solution of constrained optimization problems are based on the const...
The aim of this paper is to propose an algorithm, based on the optimal level solutions method, which...
AbstractBased on the identification technique of active constraints, we propose a Newton-like algori...
In this paper we define a new continuously differentiable exact penalty function for the solution of...
In this paper a new continuously differentiable exact penalty function is introduced for the solutio...
AbstractRecent efforts in differentiable non-linear programming have been focused on interior point ...
In this paper formal definitions of exactness for penalty functions are introduced and sufficient co...
Abstract. We consider the following classes of nonlinear programming problems: the minimization of s...
Recent efforts in differentiable non-linear programming have been focused on interior point methods,...
In this paper it is shown that, given a nonlinear programming problem with inequality constraints, i...
In this paper we consider a class of equality constrained optimization problems with box constraints...
A method for the solution of minimization problems with simple bounds is presented. Global convergen...
AbstractThis paper is an introduction to Newton, a constraint programming language over nonlinear re...