Error bounds for mixed set-valued vector inverse quasi-variational inequalities

Autor:	Shih-sen Chang, Salahuddin, L. Wang, G. Wang, Z. L. Ma
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Mixed set-valued vector inverse quasi-variational inequality Residual gap function Regularized gap function D-gap function Error bounds H $\mathfrak{H}$ -ϑ-Lipschitz continuous mapping Mathematics QA1-939
Zdroj:	Journal of Inequalities and Applications, Vol 2020, Iss 1, Pp 1-16 (2020)
Druh dokumentu:	article
ISSN:	1029-242X
DOI:	10.1186/s13660-020-02424-7
Popis:	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.
Databáze:	Directory of Open Access Journals
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