EconPapers    
Economics at your fingertips  
 

Generalized Polyhedral DC Optimization Problems

Vu Thi Huong (), Duong Thi Kim Huyen () and Nguyen Dong Yen ()
Additional contact information
Vu Thi Huong: Vietnam Academy of Science and Technology
Duong Thi Kim Huyen: Phenikaa University
Nguyen Dong Yen: Vietnam Academy of Science and Technology

Journal of Optimization Theory and Applications, 2025, vol. 207, issue 1, No 11, 28 pages

Abstract: Abstract The problem of minimizing the difference of two lower semicontinuous, proper, convex functions (a DC function) on a nonempty closed convex set in a locally convex Hausdorff topological vector space is studied in this paper. The focus is made on the situations where either the second component of the objective function is a generalized polyhedral convex function or the first component of the objective function is a generalized polyhedral convex function and the constraint set is generalized polyhedral convex. Various results on optimality conditions, the local solution set, the global solution set, and solution algorithms via duality are obtained. Useful illustrative examples are considered.

Keywords: Difference of convex functions; Generalized polyhedral convex function; Generalized polyhedral convex set; Optimality condition; Local solution set; Global solution set; DCA scheme; 91A05; 91A10; 90C05; 49J53 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10957-025-02769-3 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:207:y:2025:i:1:d:10.1007_s10957-025-02769-3

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

DOI: 10.1007/s10957-025-02769-3

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 2025-07-12
Handle: RePEc:spr:joptap:v:207:y:2025:i:1:d:10.1007_s10957-025-02769-3