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Optimization
A Journal of Mathematical Programming and Operations Research
Volume 71, 2022 - Issue 7
113
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Articles

Existence and sensitivity analysis for nonconvex cubic optimization problems

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Pages 1883-1906 | Received 01 Nov 2019, Accepted 28 Sep 2020, Published online: 23 Nov 2020
 

Abstract

In this paper, we propose necessary/sufficient conditions for existence of minimizers of nonconvex cubic programming problems via an Eaves type theorem. Directional differentiability of the optimal value function under total perturbation are characterized. Among our proposed assumptions, there are some weaker than the existing assumptions (applied to cubic programming).

2010 Mathematics Subject Classifications:

Acknowledgements

This research is funded by the Ministry of Education and Training of Vietnam [grant number B2019-SP2-01].

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research is funded by the Ministry of Education and Training of Vietnam [grant number B2019-SP2-01].

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