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Control and Optimization presents a systematic account of optimal control theory, with emphasis on its connections with other optimization questions. Also covered are a diversity of applications and worked examples, an examination of good computing methods and how they work, and a study of sensitivity - what happens when the system is perturbed - and includes some new previously unpublished results.
Mathematics students at senior undergraduate or graduate level in particular will find this book useful. A background in linear algebra, a little basic functional analysis and some linear programming is assumed.
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