Extended Vertical Stochastic $$\varvec{R}_{0}$$ R 0 -Tensor Complementarity Problem

Shouqiang Du, Duan Song, Guangxuan Lin and Yimin Wei ()
Additional contact information
Shouqiang Du: Qingdao University
Duan Song: Qingdao University
Guangxuan Lin: Qingdao University
Yimin Wei: Fudan University

Journal of Optimization Theory and Applications, 2025, vol. 207, issue 3, No 12, 22 pages

Abstract: Abstract The main objective of this paper is to introduce a kind of extended vertical stochastic $$R_0$$ R 0 -tensor complementarity problems. We consider the sample average approximation (SAA) method to solve this proposed problem and prove the boundedness of the solution set. Then, we use the unconstrained optimization method to solve the transformed extended vertical stochastic $$R_{0}$$ R 0 -tensor complementarity problem. Finally, numerical results are presented.

Keywords: Extended vertical stochastic $$R_{0}$$ R 0 -tensor; Complementarity problem; Sample average approximation; 15A69; 90C33 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10957-025-02811-4 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:3:d:10.1007_s10957-025-02811-4

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

DOI: 10.1007/s10957-025-02811-4

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 ().