On the unconstrained optimization reformulations for a class of stochastic vector variational inequality problems
Abstract In this paper, a class of stochastic vector variational inequality (SVVI) problems are considered. By employing the idea of a D-gap function, the SVVI problem is reformulated as a deterministic model, which is an unconstrained expected residual minimization (UERM) problem, while it is refor...
| Главные авторы: | , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
SpringerOpen
2023-07-01
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| Серии: | Journal of Inequalities and Applications |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1186/s13660-023-03011-2 |