A generalized elastic net regularization with smoothed ℓq\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ell _{q}$$\end{document} penalty for sparse vector recovery

被引:1
|
作者
Yong Zhang
Wanzhou Ye
Jianjun Zhang
机构
[1] Shanghai University,Department of Mathematics, College of Science
[2] Jiangsu University of Science and Technology,School of Science
关键词
Iterative algorithm; Compressed sensing; Convergence; Elastic net regularization; minimization;
D O I
10.1007/s10589-017-9916-7
中图分类号
学科分类号
摘要
In this paper, we propose an iterative algorithm for solving the generalized elastic net regularization problem with smoothed ℓq(0<q≤1)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ell _{q} (0<q \le 1)$$\end{document} penalty for recovering sparse vectors. We prove the convergence result of the algorithm based on the algebraic method. Under certain conditions, we show that the iterative solutions converge to a local minimizer of the generalized elastic net regularization problem and we also present an error bound. Theoretical analysis and numerical results show that the proposed algorithm is promising.
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页码:437 / 454
页数:17
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