On Global Optimality Conditions via Separation Functions
A. M. Rubinov and
A. Uderzo
Additional contact information
A. M. Rubinov: University of Ballarat
A. Uderzo: University of Trieste
Journal of Optimization Theory and Applications, 2001, vol. 109, issue 2, No 6, 345-370
Abstract:
Abstract The paper examines some axiomatic definitions of separation functions that can be employed fruitfully in the analysis of side-constrained extremum problems. A study of their general properties points out connections with abstract convex analysis and recent generalizations of Lagrangian approaches to duality and exact penalty methods. Many concrete examples are brought out.
Keywords: separation functions; theorems of the alternative; abstract convexity; duality; side-constrained optimization; image space analysis (search for similar items in EconPapers)
Date: 2001
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://link.springer.com/10.1023/A:1017566406216 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:109:y:2001:i:2:d:10.1023_a:1017566406216
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1023/A:1017566406216
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 ().