In this paper we present an algorithm for continuous minimax problem where a quasi--Newton direction conditional on appropriate maximizers is used. The direction involves a quadratic subproblem to compute the minimum norm subgradient. An application of the algorithm to a monetary policy design...

We present a primal-dual interior-point method for constrained nonlinear, discrete minimax problems where the objective functions and constraints are not necessarily convex. The algorithm uses two merit functions to ensure progress toward the points satisfying the first-order optimality...