Superefficiency in Vector Optimization with Nearly Subconvexlike Set-Valued Maps

L. Y. Xia and J. H. Qiu ()
Additional contact information
L. Y. Xia: Jiangsu University of Science and Technology
J. H. Qiu: Suzhou University

Journal of Optimization Theory and Applications, 2008, vol. 136, issue 1, No 10, 125-137

Abstract: Abstract In the framework of locally convex topological vector spaces, we establish a scalarization theorem, a Lagrange multiplier theorem and duality theorems for superefficiency in vector optimization involving nearly subconvexlike set-valued maps.

Keywords: Nearly subconvexlike set-valued maps; Henig proper efficiency; Superefficiency; Scalarization; Lagrangian multiplier theorem; Superduality (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-007-9291-0 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:136:y:2008:i:1:d:10.1007_s10957-007-9291-0

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-007-9291-0

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 ().