Error bounds for generalized vector inverse quasi-variational inequality Problems with point to set mappings

Error bounds for generalized vector inverse quasi-variational inequality Problems with point to set mappings

The goal of this paper is further to study a kind of generalized vector inverse quasi-variational inequality problems and to obtain error bounds in terms of the residual gap function, the regularized gap function, and the global gap function by utilizing the relaxed monotonicity and Hausdorff Lipsch...

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Bibliographic Details
Main Authors: S. S. Chang, Salahuddin, M. Liu, X. R. Wang, J. F. Tang
Format: Article
Language:English
Published: AIMS Press 2021-12-01
Series:AIMS Mathematics
Subjects:
generalized vector inverse quasi-variational inequality problems
strong monotonicity
relaxed monotonicity
hausdorff lipschitz continuity
residual gap function
regularized gap function
global gap function
bi-mapping
error bounds
generalized f-projection operator
Online Access:http://www.aimspress.com/article/doi/10.3934/math.2021108?viewType=HTML

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