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Title: Lagrange duality of vector variational inequalities
Authors: Yang, X 
Issue Date: 1-Apr-2023
Source: Journal of applied and numerical optimization, 1 Apr. 2023, v. 5. no. 1, p. 149-161
Abstract: In this paper, we investigate Lagrange dualities for a vector variational inequality problem. For a vector variational inequality problem with convex inclusion constraints, we develop an equivalent saddle point formulation via scalarization. For a vector variational inequality problem with linear constraints, we formulate a dual vector variational inequality via that of a linear multiobjective optimization problem and show that for a solution of a vector variational inequality problem, there is one corresponding solution for its dual. We give some examples to illustrate the results.
Keywords: Vector variational inequality
Lagrange dual
Saddle point formulation
Dual linear multiobjective program
Publisher: Biemdas Academic Publishers
Journal: Journal of applied and numerical optimization 
ISSN: 2562-5527
EISSN: 2562-5535
DOI: 10.23952/jano.5.2023.1.10
Rights: Posted with permission of the publisher
© 2023 Journal of Applied and Numerical Optimization
The following publication X. Yang, Lagrange duality of vector variational inequalities, J. Appl. Numer. Optim. 5 (2023), 149-161 is available at https://doi.org/10.23952/jano.5.2023.1.10
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