Toward Nonquadratic S-Lemma: New Theory and Application in Nonconvex Optimization
Meijia Yang (),
Shu Wang () and
Yong Xia ()
Additional contact information
Meijia Yang: University of Science and Technology Beijing
Shu Wang: North China Electric Power University
Yong Xia: Beihang University
Journal of Optimization Theory and Applications, 2022, vol. 194, issue 1, No 16, 353-363
Abstract:
Abstract We establish a generalized alternative theorem for nonquadratic nonconvex system by unifying S-lemma and convex Farkas lemma. As an application, we reveal hidden convexity of a new family of nonconvex optimization problems that combine generalized trust region subproblem with convex optimization.
Keywords: S-lemma; Farkas lemma; Hidden convexity; Nonconvex optimization; 90C20; 90C22; 90C26 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-022-02031-0 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:194:y:2022:i:1:d:10.1007_s10957-022-02031-0
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-022-02031-0
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 ().