AbstractIn 1961, Clark proved that if either the feasible region of a linear program or its dual is nonempty and bounded, then the other is unbounded. Recently, Duffin has extended this result to a convex program and its Lagrangian dual. Moreover, Duffin showed that under this boundedness assumption there is no duality gap. The purpose of this paper is to extend Duffin's results to semi-infinite programs
We associate with each convex optimization problem posed on some locally convex space with an infini...
This paper concerns parameterized convex infinite (or semi-infinite) inequality systems whose decisi...
Fourier-Motzkin elimination is a projection algorithm for solving finite linear programs. We extend ...
AbstractIn 1961, Clark proved that if either the feasible region of a linear program or its dual is ...
AbstractThis paper gives theorems on the boundedness of the feasible and the optimal solutions sets ...
AbstractIn this note, it is shown that, for an arbitrary semi-infinite convex program, there exists ...
AbstractLinear semi-infinite programming deals with the optimization of linear functionals on finite...
International audienceThis article uses classical notions of convex analysis over Euclidean spaces, ...
AbstractIn the first three sections, relationships between the feasible sets of primaldual linear pr...
This article provides results guarateeing that the optimal value of a given convex infinite optimiza...
Any linear (ordinary or semi-infinite) optimization problem, and also its dual problem, can be class...
Given a convex optimization problem (P) in a locally convex topological vector space X with an arbit...
AbstractWe study the infinite dimensional linear programming problem. The previous work done on this...
summary:The authors deal with a certain specialization of their theory of duality on the case where ...
We associate with each convex optimization problem, posed on some locally convex space, with infinit...
We associate with each convex optimization problem posed on some locally convex space with an infini...
This paper concerns parameterized convex infinite (or semi-infinite) inequality systems whose decisi...
Fourier-Motzkin elimination is a projection algorithm for solving finite linear programs. We extend ...
AbstractIn 1961, Clark proved that if either the feasible region of a linear program or its dual is ...
AbstractThis paper gives theorems on the boundedness of the feasible and the optimal solutions sets ...
AbstractIn this note, it is shown that, for an arbitrary semi-infinite convex program, there exists ...
AbstractLinear semi-infinite programming deals with the optimization of linear functionals on finite...
International audienceThis article uses classical notions of convex analysis over Euclidean spaces, ...
AbstractIn the first three sections, relationships between the feasible sets of primaldual linear pr...
This article provides results guarateeing that the optimal value of a given convex infinite optimiza...
Any linear (ordinary or semi-infinite) optimization problem, and also its dual problem, can be class...
Given a convex optimization problem (P) in a locally convex topological vector space X with an arbit...
AbstractWe study the infinite dimensional linear programming problem. The previous work done on this...
summary:The authors deal with a certain specialization of their theory of duality on the case where ...
We associate with each convex optimization problem, posed on some locally convex space, with infinit...
We associate with each convex optimization problem posed on some locally convex space with an infini...
This paper concerns parameterized convex infinite (or semi-infinite) inequality systems whose decisi...
Fourier-Motzkin elimination is a projection algorithm for solving finite linear programs. We extend ...