Abstract
The paper is dedicated to the study of strong duality for a problem of linear copositive programming. Based on the recently introduced concept of the set of normalized immobile indices, an extended dual problem is deduced. The dual problem satisfies the strong duality relations and does not require any additional regularity assumptions such as constraint qualifications. The main difference with the previously obtained results consists in the fact that now the extended dual problem uses neither the immobile indices themselves nor the explicit information about the convex hull of these indices. The strong duality formulations presented in the paper for linear copositive problems have similar structure and properties as that proposed in the works by M. Ramana, L. Tuncel, and H. Wolkowicz, for semidefinite programming.
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Acknowledgements
This work was partially supported by the state research program “Convergence -2025”(Republic Belarus) and by Portuguese funds through CIDMA - Center for Research and Development in Mathematics and Applications, and FCT - Portuguese Foundation for Science and Technology, within the project UIDB/04106/2020. The authors thank the anonymous referees for their very helpful comments and suggestions which aided us in considerably improving the presentation of this paper.
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Kostyukova, O.I., Tchemisova, T.V. On strong duality in linear copositive programming. J Glob Optim 83, 457–480 (2022). https://doi.org/10.1007/s10898-021-00995-3
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DOI: https://doi.org/10.1007/s10898-021-00995-3
Keywords
- Linear Copositive Programming
- Strong duality
- Normalized immobile index set
- Extended dual problem
- Constraint Qualification
- Semi-infinite Programming (SIP)
- Semidefinite programming (SDP)