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An improved algorithm for the - minimization problem
Ge, Dongdong1; He, Rongchuan2; He, Simai1
刊名MATHEMATICAL PROGRAMMING
2017-11
卷号166期号:1-2页码:131-158
关键词Nonsmooth optimization Nonconvex optimization Bridge regression Complexity analysis
ISSN号0025-5610
DOI10.1007/s10107-016-1107-2
英文摘要In this paper we consider a class of non-Lipschitz and non-convex minimization problems which generalize the - minimization problem. We propose an iterative algorithm that decides the next iteration based on the local convexity/concavity/sparsity of its current position. We show that our algorithm finds an -KKT point within iterations from certain initial points. The same result is also applied to the problem with general linear constraints under mild conditions.
WOS研究方向Computer Science ; Operations Research & Management Science ; Mathematics
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000412952900006
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/866]  
专题上海财经大学
通讯作者He, Rongchuan
作者单位1.Shanghai Univ Finance & Econ, Res Ctr Management Sci & Informat Analyt, Shanghai, Peoples R China;
2.City Univ Hong Kong, Dept Management Sci, Hong Kong, Hong Kong, Peoples R China
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Ge, Dongdong,He, Rongchuan,He, Simai. An improved algorithm for the - minimization problem[J]. MATHEMATICAL PROGRAMMING,2017,166(1-2):131-158.
APA Ge, Dongdong,He, Rongchuan,&He, Simai.(2017).An improved algorithm for the - minimization problem.MATHEMATICAL PROGRAMMING,166(1-2),131-158.
MLA Ge, Dongdong,et al."An improved algorithm for the - minimization problem".MATHEMATICAL PROGRAMMING 166.1-2(2017):131-158.
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