EconPapers    
Economics at your fingertips  
 

An inertial subgradient extragradient algorithm extended to pseudomonotone equilibrium problems

Yekini Shehu (), Olaniyi S. Iyiola (), Duong Viet Thong () and Nguyen Thi Cam Van ()
Additional contact information
Yekini Shehu: Zhejiang Normal University
Olaniyi S. Iyiola: California University of Pennsylvania
Duong Viet Thong: Duy Tan University
Nguyen Thi Cam Van: National Economics University

Mathematical Methods of Operations Research, 2021, vol. 93, issue 2, No 2, 213-242

Abstract: Abstract The paper introduces an inertial extragradient subgradient method with self-adaptive step sizes for solving equilibrium problems in real Hilbert spaces. Weak convergence of the proposed method is obtained under the condition that the bifunction is pseudomonotone and Lipchitz continuous. Linear convergence is also given when the bifunction is strongly pseudomonotone and Lipchitz continuous. Numerical implementations and comparisons with other related inertial methods are given using test problems including a real-world application to Nash–Cournot oligopolistic electricity market equilibrium model.

Keywords: Equilibrium problem; Variational inequality problem; Extragradient method; 90C33; 47J20 (search for similar items in EconPapers)
Date: 2021
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/s00186-020-00730-w 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:93:y:2021:i:2:d:10.1007_s00186-020-00730-w

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/00186

DOI: 10.1007/s00186-020-00730-w

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:mathme:v:93:y:2021:i:2:d:10.1007_s00186-020-00730-w