On the solution of monotone nested variational inequalities
Lorenzo Lampariello (),
Gianluca Priori () and
Simone Sagratella ()
Additional contact information
Lorenzo Lampariello: Roma Tre University
Gianluca Priori: Sapienza University of Rome
Simone Sagratella: Sapienza University of Rome
Mathematical Methods of Operations Research, 2022, vol. 96, issue 3, No 4, 446 pages
Abstract:
Abstract We study nested variational inequalities, which are variational inequalities whose feasible set is the solution set of another variational inequality. We present a projected averaging Tikhonov algorithm requiring the weakest conditions in the literature to guarantee the convergence to solutions of the nested variational inequality. Specifically, we only need monotonicity of the upper- and the lower-level variational inequalities. Also, we provide the first complexity analysis for nested variational inequalities considering optimality of both the upper- and lower-level.
Keywords: Nested variational inequality; Purely hierarchical problem; Tikhonov method; Complexity analysis; 90C33; 90C25; 90C30; 65K15; 65K10 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s00186-022-00799-5 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:mathme:v:96:y:2022:i:3:d:10.1007_s00186-022-00799-5
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/00186
DOI: 10.1007/s00186-022-00799-5
Access Statistics for this article
Mathematical Methods of Operations Research is currently edited by Oliver Stein
More articles in Mathematical Methods of Operations Research from Springer, Gesellschaft für Operations Research (GOR), Nederlands Genootschap voor Besliskunde (NGB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().