Superlinear/quadratic one-step smoothing newton method for P-0-NCP
文献类型:期刊论文
作者 | Zhang, LP; Han, JY; Huang, ZH |
刊名 | ACTA MATHEMATICA SINICA-ENGLISH SERIES
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出版日期 | 2005 |
卷号 | 21期号:1页码:117-128 |
关键词 | non-linear complementarity problems smoothing Newton method superlinear/quadratic convergence |
ISSN号 | 1439-8516 |
DOI | 10.1007/s10114-004-0412-5 |
英文摘要 | We propose a one-step smoothing Newton method for solving the non-linear complementarity problem with P-o-function (P-o-NCP) based on the smoothing symmetric perturbed Fisher function (for short, denoted as the SSPF-function). The proposed algorithm has to solve only one linear system of equations and performs only one line search per iteration. Without requiring any strict complementarity assumption at the P-o-NCP solution, we show that the proposed algorithm converges globally and superlinearly under mild conditions. Furthermore, the algorithm has local quadratic convergence under suitable conditions. The main feature of our global convergence results is that we do not assume a priori the existence of an accumulation point. Compared to the previous literatures, our algorithm has stronger convergence results under weaker conditions. |
WOS研究方向 | Mathematics |
语种 | 英语 |
WOS记录号 | WOS:000227645200012 |
出版者 | SPRINGER HEIDELBERG |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/2102] ![]() |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Zhang, LP |
作者单位 | 1.Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China 2.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, LP,Han, JY,Huang, ZH. Superlinear/quadratic one-step smoothing newton method for P-0-NCP[J]. ACTA MATHEMATICA SINICA-ENGLISH SERIES,2005,21(1):117-128. |
APA | Zhang, LP,Han, JY,&Huang, ZH.(2005).Superlinear/quadratic one-step smoothing newton method for P-0-NCP.ACTA MATHEMATICA SINICA-ENGLISH SERIES,21(1),117-128. |
MLA | Zhang, LP,et al."Superlinear/quadratic one-step smoothing newton method for P-0-NCP".ACTA MATHEMATICA SINICA-ENGLISH SERIES 21.1(2005):117-128. |
入库方式: OAI收割
来源:数学与系统科学研究院
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