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Stable and Efficient Computational Methods for Dynamic Programming

Yongyang Cai () and Kenneth Judd ()

Journal of the European Economic Association, 2010, vol. 8, issue 2-3, 626-634

Abstract: Dynamic 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.

JEL-codes: K23 L26 L51 (search for similar items in EconPapers)
Date: 2010
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Journal of the European Economic Association is currently edited by Xavier Vives, George-Marios Angeletos, Orazio P. Attanasio, Fabio Canova and Roberto Perotti

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