This is a modest revision of Vol. 2 of the 1995 best-selling dynamic programming 2-volume book by Bertsekas. DP is a central algorithmic method for optimal control, sequential decision making under uncertainty, and combinatorial optimization. The treatment focuses on basic unifying themes and conceptual foundations. It illustrates the power of the method with many examples and applications from engineering, operations research, and economics.
Among its special features, the book:
(a) provides a unifying framework for sequential decision making
(b) develops the theory of deterministic optimal control including the Pontryagin Minimum Principle
(c) describes neuro-dynamic programming techniques for practical application of DP to complex problems that involve the dual curse of large dimension and lack of an accurate mathematical model
(d) provides a comprehensive treatment of infinite horizon problems in the second volume, and an introductory treatment in the first volume
(e) contains many exercises, with solutions of the most theoretical ones posted on the book's www page
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Dimitri Bertsekas is Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He consults regularly with private industry and has held editorial positions in several journals. He has been elected Fellow of the IEEE, and a memebr of the US National Academy of Engineering. He has researched a broad variety of subjects from optimization theory, control theory, parallel and distributed computation, systems analysis, and data communication networks. He has written numerous papers in each of these areas, and he has authored or coauthored eleven textbooks. He has been elected Fellow of the IEEE, and a member of the US National Academy of Engineering.Review:
"Here is a tour-de-force in its field." -- D. Smith, Operational Research Society
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