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.

Optimality conditions for vector variational inequalities via image space analysis

Mastroeni G.
Secondo
;
Pappalardo M.
Primo
2021-01-01

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.
2021
Mastroeni, G.; Pappalardo, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1114306
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