We derive necessary and sufficient optimality conditions for the discrete m
inimax programming problem with subdifferentiable (T, rho, theta)-convex se
t functions. Then we apply these optimally criteria to construct two model
of parameter-free dual problems and a third model of another dual problem.
We also establish weak, strong, and strictly converse duality theorems. (C)
2000 Academic Press.