Gathers lecture notes from leading experts in the field into one authoritative resource, providing readers with an essential starting point for cutting edge research Provides the most modern techniques for optimization under uncertainty, many of which are outdated or not covered in existing texts on the subject Includes never before published sections on optimization under uncertainty with imprecise probabilities, as well as new methods of uncertainty quantification based on imprecise probabilities and expert elicitation
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