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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Vydané v:	Mathematical problems in engineering Ročník 2019; číslo 2019; s. 1 - 8
Hlavní autori:	Fu, Zhengqing, Guo, Lanlan, Liu, Guolin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo, Egypt Hindawi Publishing Corporation 2019 Hindawi John Wiley & Sons, Inc
Predmet:	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
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