The study of error bounds for generalized vector inverse mixed quasi-variational inequalities
Filomat, Tome 37 (2023) no. 2, p. 627
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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 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.
Classification :
49J40, 49H09, 47J20, 54H25
Keywords: Generalized multivalued vector inverse quasi-variational inequality, Residual gap function, Regularized gap function, D-gap function, Error bounds, Generalized projection operator
Keywords: Generalized multivalued vector inverse quasi-variational inequality, Residual gap function, Regularized gap function, D-gap function, Error bounds, Generalized projection operator
Jong Kyu Kim; Salahuddin ; A A H Ahmadini. The study of error bounds for generalized vector inverse mixed quasi-variational inequalities. Filomat, Tome 37 (2023) no. 2, p. 627 . doi: 10.2298/FIL2302627K
@article{10_2298_FIL2302627K,
author = {Jong Kyu Kim and Salahuddin and A A H Ahmadini},
title = {The study of error bounds for generalized vector inverse mixed quasi-variational inequalities},
journal = {Filomat},
pages = {627 },
year = {2023},
volume = {37},
number = {2},
doi = {10.2298/FIL2302627K},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.2298/FIL2302627K/}
}
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