Abstract
Under the fulfilment of the limiting constraint qualification, a necessary condition for a quasi \(\epsilon \)-solution to a semi-infinite programming problem (SIP) by means of employing some advanced tools of variational analysis and generalized differential is established. Sufficient conditions for such a quasi \(\epsilon \)-solution to problem (SIP) are also investigated in light of generalized convex functions defined in terms of the limiting subdifferential of locally Lipschitz functions. Finally, a Wolfe type dual model in approximate form is formulated, and weak, strong and converse-like duality theorems are proposed. Besides, we give some simple examples to illustrate the obtained results.
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The authors would like to express their sincere thanks to anonymous referees for the valuable suggestions and comments for the paper.
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Liguo Jiao was partially supported by National Center for Theoretical Sciences (NCTS) of Taiwan. Do Sang Kim was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (NRF-2019R1A2C1008672). Yuying Zhou was supported by the National Natural Sciences Foundation of China (11771319).
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Jiao, L., Kim, D.S. & Zhou, Y. Quasi \(\epsilon \)-solutions in a semi-infinite programming problem with locally Lipschitz data. Optim Lett 15, 1759–1772 (2021). https://doi.org/10.1007/s11590-019-01457-2
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DOI: https://doi.org/10.1007/s11590-019-01457-2
Keywords
- Semi-infinite programming
- Quasi \(\epsilon \)-solutions
- Limiting constraint qualification
- Optimality conditions
- Duality