A sequential quadratic programming algorithm without a penalty function, a filter or a constraint qualification for inequality constrained optimization

This paper discusses a kind of nonlinear inequality constrained optimization problems without any constraint qualification. A new sequential quadratic programming algorithm for such problems is proposed, whose important features are as follows: (i) a new relaxation technique for the linearized const...

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Bibliographic Details

Published in:	Optimization Vol. 71; no. 6; pp. 1603 - 1635
Main Authors:	Jian, Jinbao, Tang, Chunming, Hu, Qingjie, Han, Daolan
Format:	Journal Article
Language:	English
Published:	Philadelphia Taylor & Francis 03.06.2022 Taylor & Francis LLC
Subjects:	Algorithms Constraints finite convergence Inequality constraints line search nonlinear programming Optimization Penalty function Quadratic programming sequential quadratic programming
ISSN:	0233-1934, 1029-4945
Online Access:	Get full text
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