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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Double Inertial Relaxed Projection Algorithm for Solving Quasimonotone Uniformly Continuous Variational Inequality Problems
Author NameAffiliationPostcode
Xinyi Wei School of Mathematics and Statistics,Xidian University,Xi''an,Shaanxi Province,
Xidian University,School of Mathematics and Statistics,Xi''an,Shaanxi Province 
710126
Hongwei Liu* School of Mathematics and Statistics,Xidian University,Xi''an,Shaanxi Province,
Xidian University,School of Mathematics and Statistics,Xi''an,Shaanxi Province 
710126
Meiying Wang School of Mathematics and Statistics,Xidian University,Xi''an,Shaanxi Province,
Xidian University,School of Mathematics and Statistics,Xi''an,Shaanxi Province 
710126
Abstract:
In this study, an original projection-based algorithm is proposed to treat a family of variational inequality models defined on a Hilbert space. The method extends Tseng’s extragradient framework by integrating a double inertial mechanism and a relaxation technique. Provided that quasimonotonicity and uniform continuity hold, the sequence yielded by the algorithm is shown to converge weakly. In contrast to previous studies on quasimonotone variational inequality problems, this study requires neither the assumption of Lipschitz continuity for the mapping nor the assumption that the mapping A satisfies Ax≠0. Thus, this study addresses a more general category of quasimonotone variational inequality problems. In the final stage, numerical experiments are conducted to showcase the effectiveness and comparative advantages of the proposed method.
Key words:  Variational Inequality Problem  Projected Gradient Algorithm  Quasimonotone Mapping  Uniformly Continuous
DOI:10.11916/j.issn.1005-9113.25057
Clc Number:47H05 47J20 47J25 65K15 90C25
Fund:

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