On the worst-case complexity of nonlinear stepsize control algorithms for convex unconstrained optimization | |
Grapiglia, G. N.1; Yuan, J.1; Yuan, Y.2 | |
刊名 | OPTIMIZATION METHODS & SOFTWARE |
2016-06-01 | |
卷号 | 31期号:3页码:591-604 |
关键词 | worst-case complexity trust-region methods regularization methods unconstrained optimization 90C30 65K05 49M37 49M15 90C29 |
ISSN号 | 1055-6788 |
DOI | 10.1080/10556788.2015.1130129 |
英文摘要 | A Nonlinear Stepsize Control (NSC) framework has been proposed by Toint [Nonlinear stepsize control, trust regions and regularizations for unconstrained optimization, Optim.Methods Softw. 28 (2013), pp. 82-95] for unconstrained optimization, generalizing many trust-region and regularization algorithms. More recently, worst-case complexity bounds for the generic NSC framework were proved by Grapiglia etal. [On the convergence and worst-case complexity of trust-region and regularization methods for unconstrained optimization, Math. Program. 152 (2015), pp. 491-520] in the context of non-convex problems. In this paper, improved complexity bounds are obtained for convex and strongly convex objectives. |
WOS研究方向 | Computer Science ; Operations Research & Management Science ; Mathematics |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS LTD |
WOS记录号 | WOS:000374781100010 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/22544] |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Grapiglia, G. N. |
作者单位 | 1.Univ Fed Parana, Dept Math, BR-80060000 Curitiba, Parana, Brazil 2.Chinese Acad Sci, State Key Lab Sci & Engn Comp, Acad Math & Syst Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Grapiglia, G. N.,Yuan, J.,Yuan, Y.. On the worst-case complexity of nonlinear stepsize control algorithms for convex unconstrained optimization[J]. OPTIMIZATION METHODS & SOFTWARE,2016,31(3):591-604. |
APA | Grapiglia, G. N.,Yuan, J.,&Yuan, Y..(2016).On the worst-case complexity of nonlinear stepsize control algorithms for convex unconstrained optimization.OPTIMIZATION METHODS & SOFTWARE,31(3),591-604. |
MLA | Grapiglia, G. N.,et al."On the worst-case complexity of nonlinear stepsize control algorithms for convex unconstrained optimization".OPTIMIZATION METHODS & SOFTWARE 31.3(2016):591-604. |
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