This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear
semi-infinite optimization, presents some numerical approaches to this type of problems …

This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear
semi-infinite optimization, presents some numerical approaches to this type of problems …

Linear semi-infinite optimization (LSIO) deals with linear optimization problems in which
either the dimension of the decision space or the number of constraints (but not both) is …

We present necessary and sufficient conditions for the existence of robust local error bounds
for linear inequality system in the face of data uncertainty where the uncertain data belong to …

In this paper, we examine global error bounds for a linear inequality system in the face of
data uncertainty by building upon recent developments in robust optimization, where the …

This paper provides sufficient conditions for the optimal value function of a given linear semi-
infinite programming (LSIP) problem to depend linearly on the size of the perturbations …

This paper is a kind of biased survey of the most representative and recent results on
stability for the linear optimization problem. Qualitative and quantitative approaches are …

In this paper we, firstly, review the main known results on systems of an arbitrary (possibly
infinite) number of weak linear inequalities posed in the Euclidean space ℝ n R^n (ie, with n …

Linear semi-infinite programming (LSIP) deals with linear optimization problems in which
either the dimension of the decision space or the number of constraints (but not both) is …

This paper studies certain Lipschitz properties of the optimal value function of a linear semi-
infinite programming problem and its dual problem in the sense of Haar. In this setting, it is …