Stable and Efficient Computational Methods for Dynamic Programming
AbstractDynamic programming is the foundation of dynamic economic analysis and often requires numerical solution methods. Standard methods are either slow or unstable. These instabilities are avoided when one uses modern methods from numerical optimization and approximation. Furthermore, large dynamic programming problems can be solved by using modern parallel computing architectures. (JEL: K23, L26, L51) (c) 2010 by the European Economic Association.
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Bibliographic InfoArticle provided by MIT Press in its journal Journal of the European Economic Association.
Volume (Year): 8 (2010)
Issue (Month): 2-3 (04-05)
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- K23 - Law and Economics - - Regulation and Business Law - - - Regulated Industries and Administrative Law
- L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
- L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
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