An algorithm is described for determining the optimal solution of parametric linear and quadratic programming problems as an explicit piece-wise linear function of the parameter. Each linear function is uniquely determined by an appropriate subset of active constraints. For every crit-ical value of the parameter a new subset has to be determined. A simple rule is civen for adding and deleting constraints from this subset. AMS (IMOS) Subject Classification: 90C3
Programming is defined as the planning of activities for the sake of optimization. When linear const...
The aim of this paper is to show how a wide class of generalized quadratic programs can be solved, i...
Quadratic programming (QP) is one technique that allows for the optimization of a quadratic function...
We consider the convex parametric quadratic programming problem when the end of the parametric inter...
This paper describes a parametric method for solving semi-definite quadratic programs which seems to...
The main contributions in this thesis are advances in parametric programming. The thesis is divided ...
We consider a linear programming problem, with two parameters in the objective function, and present...
Multiparametric (mp) programming pre-computes optimal solutions offline which are functions of param...
Several optimization-based control design techniques can be cast in the form of parametric optimizat...
In this paper, we present an effective algorithm for globally solving quadratic programs with quadra...
The goal of multi-parametric quadratic programming (mpQP) is to compute analytic solutions to parame...
In this thesis sensitivity analysis for quadratic optimization problems is stud-ied. In sensitivity ...
International audience—Several optimization-based control design techniques can be cast in the form ...
In this paper we study the problem of parametric minimization of convex piecewise quadratic function...
A solution procedure for linear programs with one convex quadratic constraint is suggested. The meth...
Programming is defined as the planning of activities for the sake of optimization. When linear const...
The aim of this paper is to show how a wide class of generalized quadratic programs can be solved, i...
Quadratic programming (QP) is one technique that allows for the optimization of a quadratic function...
We consider the convex parametric quadratic programming problem when the end of the parametric inter...
This paper describes a parametric method for solving semi-definite quadratic programs which seems to...
The main contributions in this thesis are advances in parametric programming. The thesis is divided ...
We consider a linear programming problem, with two parameters in the objective function, and present...
Multiparametric (mp) programming pre-computes optimal solutions offline which are functions of param...
Several optimization-based control design techniques can be cast in the form of parametric optimizat...
In this paper, we present an effective algorithm for globally solving quadratic programs with quadra...
The goal of multi-parametric quadratic programming (mpQP) is to compute analytic solutions to parame...
In this thesis sensitivity analysis for quadratic optimization problems is stud-ied. In sensitivity ...
International audience—Several optimization-based control design techniques can be cast in the form ...
In this paper we study the problem of parametric minimization of convex piecewise quadratic function...
A solution procedure for linear programs with one convex quadratic constraint is suggested. The meth...
Programming is defined as the planning of activities for the sake of optimization. When linear const...
The aim of this paper is to show how a wide class of generalized quadratic programs can be solved, i...
Quadratic programming (QP) is one technique that allows for the optimization of a quadratic function...