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In this study, generalized multivalued vector inverse quasi-variational inequality problems are developed, and error bounds are obtained in terms of the residual gap function, the regularized gap function, and the… Click to show full abstract
In this study, generalized multivalued vector inverse quasi-variational inequality problems are developed, and error bounds are obtained in terms of the residual gap function, the regularized gap function, and the D-gap function. With the help of these constraints, one can effectively estimate the distances between any feasible point and the solution set of problems involving generalized multivalued vector inverse quasi-variational inequality.
Keywords:
vector inverse;
gap function;
error bounds;
quasi variational
Journal Title: Filomat
Year Published: 2023
Link to full text (if available)
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Journal Title: Filomat
Year Published: 2023
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!