Characterizations of local upper Lipschitz property of perturbed solutions to nonlinear second-order cone programs
Yi Zhang, Liwei Zhang, Jia Hao Wu, Keding Wang · Optimization · 2017
We characterize the local upper Lipschitz property of the stationary point mapping and the Karush–Kuhn–Tucker (KKT) mapping for a nonlinear second-order cone programming problem using the graphical derivative criterion. We demonstrate that the second-order sufficient condition and the strict constraint qualification are sufficient for the local upper Lipschitz property of the stationary point mapping and are both sufficient and necessary for the local upper Lipschitz property of the KKT mapping.