In this paper we consider the parameter space of continuous linear optimization problems with a given decision space and a given index set. We consider different partitions of this space, on the basis of the primal, the dual, and the primal-dual status of each parameter. We define ill-posedness and relative ill-posedness w.r.t. a given set and absolute ill-posedness w.r.t. a given family of sets. These concepts are characterized for the elements of the partitions considered in this paper
We consider a linear programming problem in which the right-hand side vector depends on multiple par...
AbstractThis paper deals with the stability of linear semi-infinite programming (LSIP, for short) pr...
We consider the parameter space of all the linear inequality systems, in the n-dimensional Euclidean...
We associate with each natural number n and each compact Hausdorff topological space T the space of ...
AbstractWe characterize those linear optimization problems that are ill-posed in the sense that arbi...
We characterize those linear optimization problems that are ill-posed in the sense that arbitrarily ...
This paper is a kind of biased survey of the most representative and recent results on stability for...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper deals with the so-called total ill-posedness of linear optimization problems with an arbi...
This paper deals with the stability of linear semi-infinite programming (LSIP, for short) problems. ...
In this paper we consider the parameter space of all the linear inequality systems, in the n-dimensi...
We consider the parametric space of all the linear semi-infinite programming problems with constrain...
In practical optimization problems, uncertainty in parameter values is often present. This uncertain...
We consider a linear programming problem in which the right-hand side vector depends on multiple par...
abstract: the well-known difficulties with the treatment of ill-conditioned unconstrained optimizati...
We consider a linear programming problem in which the right-hand side vector depends on multiple par...
AbstractThis paper deals with the stability of linear semi-infinite programming (LSIP, for short) pr...
We consider the parameter space of all the linear inequality systems, in the n-dimensional Euclidean...
We associate with each natural number n and each compact Hausdorff topological space T the space of ...
AbstractWe characterize those linear optimization problems that are ill-posed in the sense that arbi...
We characterize those linear optimization problems that are ill-posed in the sense that arbitrarily ...
This paper is a kind of biased survey of the most representative and recent results on stability for...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper deals with the so-called total ill-posedness of linear optimization problems with an arbi...
This paper deals with the stability of linear semi-infinite programming (LSIP, for short) problems. ...
In this paper we consider the parameter space of all the linear inequality systems, in the n-dimensi...
We consider the parametric space of all the linear semi-infinite programming problems with constrain...
In practical optimization problems, uncertainty in parameter values is often present. This uncertain...
We consider a linear programming problem in which the right-hand side vector depends on multiple par...
abstract: the well-known difficulties with the treatment of ill-conditioned unconstrained optimizati...
We consider a linear programming problem in which the right-hand side vector depends on multiple par...
AbstractThis paper deals with the stability of linear semi-infinite programming (LSIP, for short) pr...
We consider the parameter space of all the linear inequality systems, in the n-dimensional Euclidean...