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	A SUPERLINEARLY CONVERGENT HYBRID ALGORITHM FOR SOLVING NONLINEAR PROGRAMMING
	Gao, Chuanhao[1]; Shan, Erfang[2]; Yan, Wenli[3]
刊名	JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
	2017
卷号	13页码:1009-1024
关键词	Nonlinear programming sequential quadratic programming system of linear equations working set global and locally one-step super linear convergence
ISSN号	1547-5816
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2193853
专题	上海大学
作者单位	1.[1]Zhejian Sci Tech Univ, Sch Econ & Management, Hangzhou 310018, Zhejiang, Peoples R China. 2.[2]Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China. 3.[3]Huaiyin Inst Technol, Sch Math & Phys, Huaian 223003, Jiangsu, Peoples R China.
推荐引用方式 GB/T 7714	Gao, Chuanhao[1],Shan, Erfang[2],Yan, Wenli[3]. A SUPERLINEARLY CONVERGENT HYBRID ALGORITHM FOR SOLVING NONLINEAR PROGRAMMING[J]. JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION,2017,13:1009-1024.
APA	Gao, Chuanhao[1],Shan, Erfang[2],&Yan, Wenli[3].(2017).A SUPERLINEARLY CONVERGENT HYBRID ALGORITHM FOR SOLVING NONLINEAR PROGRAMMING.JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION,13,1009-1024.
MLA	Gao, Chuanhao[1],et al."A SUPERLINEARLY CONVERGENT HYBRID ALGORITHM FOR SOLVING NONLINEAR PROGRAMMING".JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION 13(2017):1009-1024.

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