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
In this paper, we derive sufficient condition for global optimality for a nonsmooth semi-infinite ma...
Problems of minimizing a convex function or maximizing a concave function over a convex set are call...
AbstractLinear semi-infinite programming deals with the optimization of linear functionals on finite...
AbstractIn 1961, Clark proved that if either the feasible region of a linear program or its dual is ...
International audienceThis article uses classical notions of convex analysis over Euclidean spaces, ...
AbstractThis paper gives theorems on the boundedness of the feasible and the optimal solutions sets ...
New results are established for multiobjective DC programs with infinite convex constraints (MOPIC) ...
Fourier-Motzkin elimination is a projection algorithm for solving finite linear programs. We extend ...
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...
Abstract. This article addresses a general criterion providing a zero duality gap for convex program...
AbstractWe study the infinite dimensional linear programming problem. The previous work done on this...
AbstractIn this note, it is shown that, for an arbitrary semi-infinite convex program, there exists ...
In this article we discuss weak and strong duality properties of convex semi-infinite programming pr...
We introduce and study a new dual condition which characterizes zero duality gap in nonsmooth convex...
In this paper, we derive sufficient condition for global optimality for a nonsmooth semi-infinite ma...
Problems of minimizing a convex function or maximizing a concave function over a convex set are call...
AbstractLinear semi-infinite programming deals with the optimization of linear functionals on finite...
AbstractIn 1961, Clark proved that if either the feasible region of a linear program or its dual is ...
International audienceThis article uses classical notions of convex analysis over Euclidean spaces, ...
AbstractThis paper gives theorems on the boundedness of the feasible and the optimal solutions sets ...
New results are established for multiobjective DC programs with infinite convex constraints (MOPIC) ...
Fourier-Motzkin elimination is a projection algorithm for solving finite linear programs. We extend ...
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...
Abstract. This article addresses a general criterion providing a zero duality gap for convex program...
AbstractWe study the infinite dimensional linear programming problem. The previous work done on this...
AbstractIn this note, it is shown that, for an arbitrary semi-infinite convex program, there exists ...
In this article we discuss weak and strong duality properties of convex semi-infinite programming pr...
We introduce and study a new dual condition which characterizes zero duality gap in nonsmooth convex...
In this paper, we derive sufficient condition for global optimality for a nonsmooth semi-infinite ma...
Problems of minimizing a convex function or maximizing a concave function over a convex set are call...
AbstractLinear semi-infinite programming deals with the optimization of linear functionals on finite...