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On the Relation between Constant Positive Linear Dependence Condition and Quasinormality Constraint Qualification

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Abstract

The constant positive linear dependence (CPLD) condition for feasible points of nonlinear programming problems was introduced by Qi and Wei (Ref. 1) and used in the analysis of SQP methods. In that paper, the authors conjectured that the CPLD could be a constraint qualification. This conjecture is proven in the present paper. Moreover, it is shown that the CPLD condition implies the quasinormality constraint qualification, but that the reciprocal is not true. Relations with other constraint qualifications are given.

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This research has been supported by PRONEX-Optimization Grant 76.79.1008-00, by FAPESP Grants 01-04597-4 and 02-00832-1, and by CNPq. The authors are indebted to two anonymous referees for useful comments and to Prof. Liqun Qi for encouragement.

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Andreani, R., Martinez, J.M. & Schuverdt, M.L. On the Relation between Constant Positive Linear Dependence Condition and Quasinormality Constraint Qualification. J Optim Theory Appl 125, 473–483 (2005). https://doi.org/10.1007/s10957-004-1861-9

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  • DOI: https://doi.org/10.1007/s10957-004-1861-9

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