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In the context of the derivative-free optimization of a smooth objective function, it has been shown that the worst-case complexity of direct-search methods is of the same order as that of the steepest descent for derivative-based optimization; more precisely, the number of iterations needed to reduce the norm of the gradient of the objective function below a certain threshold is proportional to t...

Smoothing and worst-case complexity for direct-search methods in nonsmooth optimization