EconPapers    
Economics at your fingertips  
 

Conic Linear Programming Duals for Classes of Quadratic Semi-Infinite Programs with Applications

Cao Thanh Tinh () and Thai Doan Chuong ()
Additional contact information
Cao Thanh Tinh: Vietnam National University
Thai Doan Chuong: Saigon University

Journal of Optimization Theory and Applications, 2022, vol. 194, issue 2, No 9, 570-596

Abstract: Abstract In this paper, we first present strong conic linear programming duals for convex quadratic semi-infinite problems with linear constraints and geometric index sets. The obtained results show that the optimal values of a convex quadratic semi-infinite problem with convex compact sets and its associated conic linear programming dual problem are equal with the solution attainment of the dual program. We then prove that the conic linear programming dual is equivalently reformulated as a second-order cone programming problem whenever the index sets are ellipsoids, balls, cross-polytopes or boxes. As an application, we show that a class of separable fractional quadratic semi-infinite programs also admits second-order cone programming duality under ellipsoidal index sets.

Keywords: Semi-infinite programming; Duality; Conic linear programming; Fractional programming; Quadratic functions; 90C05; 90C22; 90C34; 90C46 (search for similar items in EconPapers)
Date: 2022
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/s10957-022-02040-z 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:2:d:10.1007_s10957-022-02040-z

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

DOI: 10.1007/s10957-022-02040-z

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:194:y:2022:i:2:d:10.1007_s10957-022-02040-z