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A constraint qualification for convex programming

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Abstract

This paper derives a new constraint qualification for nondifferential convex programming problem, by using the distance between the feasible set and the perturbed feasible sets. If the feasible set is bounded, then this constraint qualification is weaker than Stater’s constraint qualification.

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This research is supported by the National Natural Science Foundation of China (No.19671053).

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Shizheng, L. A constraint qualification for convex programming. Acta Mathematicae Applicatae Sinica 16, 362–365 (2000). https://doi.org/10.1007/BF02671125

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  • DOI: https://doi.org/10.1007/BF02671125

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