Error bounds for mixed set-valued vector inverse quasi-variational inequalities
Shih-sen Chang, SALAHUDDIN SALAHUDDIN, Lidong Wang, G. Wang, Z. L. Ma · Journal of Inequalities and Applications · 2020
Abstract The purpose of this paper is to introduce and study the mixed set-valued vector inverse quasi-variational inequality problems (MSVIQVIPs) and to obtain error bounds for this kind of MSVIQVIP in terms of the residual gap function, the regularized gap function, and the D-gap function. These bounds provide effective estimated distances between an arbitrary feasible point and the solution set of mixed set-valued vector inverse quasi-variational inequality problem. The results presented in the paper improve and generalize some recent results.