A General Linea-Quadratic Optimization Problem
Y. Y. Fan and
R. E. Kalaba
Additional contact information
Y. Y. Fan: University of California
R. E. Kalaba: University of Southern California
Journal of Optimization Theory and Applications, 2005, vol. 127, issue 3, No 4, 485-496
Abstract:
Abstract A linear-quadratic optimization problem is formulated in a dynamic programming manner. An updating formula for obtaining the solutions to such a problem is provided and illustrated using a few simple examples. This updating formula is also compared to a well-known updating formula for obtaining the inverses of symmetric positive-definite matrices. Numerical results are given.
Keywords: Dynamic programming; optimization; optimal production problems; linear-quadratic problems (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-005-7497-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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: https://EconPapers.repec.org/RePEc:spr:joptap:v:127:y:2005:i:3:d:10.1007_s10957-005-7497-6
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-005-7497-6
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().