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Robust adaptive beamforming is a key issue in array applications where uncertainties about the steering vector of interest exist. This paper considers the worst-case optimization-based robust beamformer problem. The closed-form optimal solution is given for any convex uncertainty set. Numerical examples of robust beamforming against signal look direction mismatches are presented to demonstrate the effectiveness of the robust beamformer.