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Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions 1st Edition

5 out of 5 stars 1 customer review
ISBN-13: 978-0471976493
ISBN-10: 0471976490
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Product Details

  • Paperback: 204 pages
  • Publisher: Wiley; 1 edition (July 13, 2000)
  • Language: English
  • ISBN-10: 0471976490
  • ISBN-13: 978-0471976493
  • Product Dimensions: 6 x 0.4 x 9 inches
  • Shipping Weight: 12 ounces (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,794,238 in Books (See Top 100 in Books)

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Almost every other text I have seen on dynamic programming, particularly stochastic dynamic programming, and related subjects, has been way too theoretical to be of much use to me. While I'm mathematically literate, my main interest is in algorithms and applied probability (big on the "applied" part).

At least to me, this book is just about perfect. The emphasis is on dynamic programming applied to discrete optimization problems, including all the usual goodies (shortest paths, knapsack, optimal stopping, and more), although some continuous models are also included (eg. exponential, Poisson). The exposition is driven by worked examples, rather than by theorem and proof. The style is precise, but straightforward and practical - very easy to follow. How it covers so much so well in only 200 pages is remarkable.

It is however, way overpriced, so look for a good used copy.
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