Control and Optimization presents a systematic account of optimal control theory in relation to a general approach to optimization that is also applicable in other contexts. It covers a diversity of applications, incorporates a full chapter of worked examples, examines good computing methods, and explores some more recent results on sensitivity and approximation, invex functions in optimization models, and methods for nonsmooth problems.

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