Abadie Constraint Qualifications for Convex Constraint Systems and Applications to Calmness Property
Zhou Wei () and
Jen-Chih Yao ()
Additional contact information
Zhou Wei: Yunnan University
Jen-Chih Yao: China Medical University
Journal of Optimization Theory and Applications, 2017, vol. 174, issue 2, No 3, 388-407
Abstract:
Abstract In this paper, we mainly study concepts of Abadie constraint qualification and strong Abadie constraint qualification for a convex constraint system defined by a closed convex multifunction and a closed convex subset. These concepts can cover Abadie constraint qualifications for the feasible region of convex optimization problem and the convex multifunction. Several characterizations for these Abadie constraint qualifications are also provided. As applications, we use these Abadie constraint qualifications to characterize calmness properties of the convex constraint system.
Keywords: Abadie CQ; Strong Abadie CQ; Convex constraint system; Calmness; 90C25; 90C31; 49J53 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10957-017-1115-2 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:174:y:2017:i:2:d:10.1007_s10957-017-1115-2
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-017-1115-2
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 ().