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Error bounds for generalized vector inverse quasi-variational inequality Problems with point to set mappings
- Source :
- AIMS Mathematics, Vol 6, Iss 2, Pp 1800-1815 (2021)
- Publication Year :
- 2021
- Publisher :
- AIMS Press, 2021.
-
Abstract
- 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 Lipschitz continuity. These error bounds provide effective estimated distances between an arbitrary feasible point and the solution set of generalized vector inverse quasi-variational inequality problems.
- Subjects :
- residual gap function
General Mathematics
lcsh:Mathematics
Hausdorff space
Solution set
Inverse
hausdorff lipschitz continuity
Monotonic function
Function (mathematics)
error bounds
Lipschitz continuity
Residual
relaxed monotonicity
lcsh:QA1-939
generalized f-projection operator
regularized gap function
Variational inequality
Applied mathematics
generalized vector inverse quasi-variational inequality problems
global gap function
bi-mapping
Mathematics
strong monotonicity
Subjects
Details
- Language :
- English
- ISSN :
- 24736988
- Volume :
- 6
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- AIMS Mathematics
- Accession number :
- edsair.doi.dedup.....113d2e23148d338b65352e1fd686c587