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Robust Linear Programming with Norm Uncertainty
We consider the linear programming problem with uncertainty set described by p,w-norm. We suggest that the robust counterpart of this problem is equivalent to a computationally convex optimization problem. We provide probabilistic guarantees on the feasibility of an optimal robust solution when the uncertain coefficients obey independent and identically distributed normal distributions