Economics at your fingertips  

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
References: Add references at CitEc
Citations: View citations in EconPapers (12) Track citations by RSS feed

Downloads: (external link) link to full text (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

Access Statistics for this article

Journal of the European Economic Association is currently edited by Xavier Vives, George-Marios Angeletos, Orazio P. Attanasio, Fabio Canova and Roberto Perotti

More articles in Journal of the European Economic Association from MIT Press
Bibliographic data for series maintained by Ann Olson ().

Page updated 2021-08-31
Handle: RePEc:tpr:jeurec:v:8:y:2010:i:2-3:p:626-634