The study of error bounds for generalized vector inverse mixed quasi-variational inequalities


Jong Kyu Kim, Salahuddin , A A H Ahmadini




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.