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In many engineering design and optimization problems, the presence of uncertainty in the data is a central and critical issue. Different fields of engineering use different ways to describe this uncertainty and adopt a variety of techniques to devise designs that are at least partly insensitive or robust to uncertainty. Probabilistic and Randomized Methods for Design under Uncertainty examines uncertain systems in control engineering and gene...