Sequential Quadratic Programming Method for Nonlinear Least Squares Estimation and Its Application

In this study, we propose a direction-controlled nonlinear least squares estimation model that combines the penalty function and sequential quadratic programming. The least squares model is transformed into a sequential quadratic programming model, allowing for the iteration direction to be controll...

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Veröffentlicht in:	Mathematical problems in engineering Jg. 2019; H. 2019; S. 1 - 8
Hauptverfasser:	Fu, Zhengqing, Guo, Lanlan, Liu, Guolin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 2019 Hindawi John Wiley & Sons, Inc
Schlagworte:	Algorithms Applied mathematics Computer simulation Conditioning Economic models Iterative methods Least squares Mathematical programming Nonlinear control Penalty function Quadratic programming Qualitative analysis Quantitative analysis Queuing theory Variations
ISSN:	1024-123X, 1563-5147
Online-Zugang:	Volltext
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