@inproceedings{0d3b24e9bcf34c38937928b3c409bb2b,
title = "A modified sequence quadratic programming method for nonlinear programming",
abstract = "Sequence quadratic programming method is one of the most useful methods for solving constrained optimization problem. In this paper, a new modified SQP method is proposed to solve the nonlinear programming. This algorithm starts from an arbitrary initial point and adjusts penalty parameter automatically. A descent direction is obtained by solving only one variant constrained subproblem. In order to avoid Marotos effect, a high-order revised direction is obtained by solving a line system. Furthermore, under mild conditions, the global and local superlinear convergence properties are obtained.",
keywords = "Global convergence, Nonlinear programming, SQP algorithm, Superlinear convergence",
author = "Zhijun Luo and Guohua Chen and Lirong Wang",
year = "2011",
doi = "10.1109/CSO.2011.42",
language = "English",
isbn = "9780769543352",
series = "Proceedings - 4th International Joint Conference on Computational Sciences and Optimization, CSO 2011",
pages = "458--461",
booktitle = "Proceedings - 4th International Joint Conference on Computational Sciences and Optimization, CSO 2011",
note = "4th International Joint Conference on Computational Sciences and Optimization, CSO 2011 ; Conference date: 15-04-2011 Through 19-04-2011",
}