Abstract
In this paper, we first present strong conic linear programming duals for convex quadratic semi-infinite problems with linear constraints and geometric index sets. The obtained results show that the optimal values of a convex quadratic semi-infinite problem with convex compact sets and its associated conic linear programming dual problem are equal with the solution attainment of the dual program. We then prove that the conic linear programming dual is equivalently reformulated as a second-order cone programming problem whenever the index sets are ellipsoids, balls, cross-polytopes or boxes. As an application, we show that a class of separable fractional quadratic semi-infinite programs also admits second-order cone programming duality under ellipsoidal index sets.
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Acknowledgements
This research was supported by The VNUHCM-University of Information Technology’s Scientific Research Support Fund. The authors would like to thank the editor and reviewer for valuable comments and suggestions. The second author is grateful to Professor V. Jeyakumar for discussing the topic when he was working at the University of New South Wales, Sydney.
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Communicated by Marco Antonio López-Cerdá
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Tinh, C.T., Chuong, T.D. Conic Linear Programming Duals for Classes of Quadratic Semi-Infinite Programs with Applications. J Optim Theory Appl 194, 570–596 (2022). https://doi.org/10.1007/s10957-022-02040-z
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DOI: https://doi.org/10.1007/s10957-022-02040-z