Dynamic Programming: Foundations and Principles, Second Edition (Chapman & Hall/CRC Pure and Applied Mathematics)

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Incorporating a number of the authorx2019;s recent ideas and examples, Dynamic Programming: Foundations and Principles, Second Edition presents a comprehensive and rigorous treatment of dynamic programming. The author emphasizes the crucial role that modeling plays in understanding this area. He also shows how Dijkstrax2019;s algorithm is an excellent example ofa dynamic programming algorithm, despite the impression given by the computer science literature. New to the Second Edition Expanded discussions of sequential decision models and the role of the state variable in modeling A new chapter on forward dynamic programming models A new chapter on the Push method that gives a dynamic programming perspective on Dijkstrax2019;s algorithm for the shortest path problem A new appendix on the Corridor method Taking into account recent developments in dynamic programming, this edition continues to provide a systematic, formal outline of Bellmanx2019;s approach to dynamic programming. It looks at dynamic programming as a problem-solving methodology, identifying its constituent components and explaining its theoretical basis for tackling problems.

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Moshe Sniedovich is a Principal Fellow (Associate) in the Department of Mathematics and Statistics at the University of Melbourne in Australia. Dr. Sniedovich has worked at the Israel Ministry of Agriculture, University of Arizona, Princeton University, IBM TJ Watson Research Center, and South Africa National Research Institute for Mathematical Sciences. He earned his B.Sc. from Technion and his Ph.D. from the University of Arizona.