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Volume 5, Issue 5, 1 October 2021, Pages 673-682
Abstract. In this paper, we outline the main features of the image space analysis for vector variational inequalities with cone constraints. Exploiting a suitable separation scheme in the associated image space, we derive saddle point and Karush-Kuhn-Tucker type optimality conditions for the given vector variational inequality.
How to Cite this Article:
G. Mastroeni, M. Pappalardo, Optimality conditions for vector variational inequalities via image space analysis, J. Nonlinear Var. Anal. 5 (2021), 673-682.