The Study of Error Bounds for Generalized Vector Inverse Mixed Quasi-Variational Inequalities

Salahuddin Salahuddin, Jong Kyu Kim

Abstract


The purpose of this paper is to develop a generalized vector inverse mixed quasivariational inequality problem with point to set-valued mappings and to obtain error bounds in terms of the residual gap function, the regularized gap function, and the D-gap function. These bounds provide eective estimated distances between an arbitrary feasible point and the solution set of generalized vector inverse mixed quasi-variational inequality problems.


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