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We propose a canonical form of the experimental optimization problem andreview the state-of-the-art methods to solve it. As guarantees of globalconvergence to an optimal point via only feasible iterates are absent in thesemethods, we present a set of sufficient conditions to enforce this behavior.

Feasible-side global convergence in experimental optimization