This book gives a broad treatment of optimization methods, building on the base of simple economic theory and elementary linear algebra and calculus, and reinforcing each new mathematical idea by relating it to its economic application.
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'The new edition is completely re-ordered, and the introductory material is now beautifully argued. It now affords a relaxed beginning to concave programming.' Peter Lambert, The Economic Journal, July 1991
This revised edition includes a new chapter on uncertainty, with applications to portfolio selection and the economics of information, and a fuller treatment of dynamic programming, with applications to search theory.The book is aimed at second and third year undergraduates taking macroeconomics courses with some quantitative content. It should also provide a simpler alternative to many postgraduate texts.
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