Sufficient Global Optimality Conditions for Bivalent Quadratic Optimization
M. Ç. Pinar
Additional contact information
M. Ç. Pinar: Bilkent University
Journal of Optimization Theory and Applications, 2004, vol. 122, issue 2, No 11, 433-440
Abstract:
Abstract We prove a sufficient global optimality condition for the problem of minimizing a quadratic function subject to quadratic equality constraints where the variables are allowed to take values −1 and 1. We extend the condition to quadratic problems with matrix variables and orthonormality constraints, and in particular to the quadratic assignment problem.
Keywords: Quadratic optimization with binary variables; global optimality; sufficient optimality conditions; quadratic assignment problem (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://link.springer.com/10.1023/B:JOTA.0000042530.24671.80 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:122:y:2004:i:2:d:10.1023_b:jota.0000042530.24671.80
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1023/B:JOTA.0000042530.24671.80
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 ().