Constraint quali…cations in convex vector semi-in…nite optimization
Miguel Angel Goberna, Francisco Guerra-Vázquez, Maxim Ivanov Todorov · 2012
Linear vector semi-in…nite optimization deals with the simultaneous minimization of …nitely many linear scalar functions subject to in…nitely many linear constraints. This paper provides characterizations of the weakly e¢ cient, e¢ cient, properly e¢ cient and strongly e¢ cient points in terms of cones involving the data and Karursh-Kuhn-Tucker conditions.