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Frontiers of Mathematics in China

ISSN 1673-3452

ISSN 1673-3576(Online)

CN 11-5739/O1

Postal Subscription Code 80-964

2018 Impact Factor: 0.565

Front. Math. China    2022, Vol. 17 Issue (1) : 149-170    https://doi.org/10.1007/s11464-022-1007-0
RESEARCH ARTICLE
Convergence of an augmented Lagrange algorithm for nonlinear optimizations with second-order cone constraints
Jin GUO, Suxiang HE()
School of Science, Wuhan University of Technology, Wuhan 430070, China
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Abstract

An augmented Lagrange algorithm for nonlinear optimizations with second-order cone constraints is proposed based on a Löwner operator associated with a potential function for the optimization problems with inequality constraints. The favorable properties of both the Löwner operator and the corresponding augmented Lagrangian are discussed. And under some mild assumptions, the rate of convergence of the augmented Lagrange algorithm is studied in detail.

Keywords Potential function      Löwner operator      augmented Lagrange algorithm      nonlinear second-order cone optimizations     
Corresponding Author(s): Suxiang HE   
Issue Date: 19 May 2022
 Cite this article:   
Jin GUO,Suxiang HE. Convergence of an augmented Lagrange algorithm for nonlinear optimizations with second-order cone constraints[J]. Front. Math. China, 2022, 17(1): 149-170.
 URL:  
https://academic.hep.com.cn/fmc/EN/10.1007/s11464-022-1007-0
https://academic.hep.com.cn/fmc/EN/Y2022/V17/I1/149
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