# A generalized elastic net regularization with smoothed $$\ell _{q}$$ ℓ q penalty for sparse vector recovery

## Author Info

Listed author(s):
• Yong Zhang

()

(Shanghai University
Jiangsu University of Science and Technology)

• Wanzhou Ye

()

(Shanghai University)

• Jianjun Zhang

()

(Shanghai University)

Registered author(s):

## Abstract

Abstract In this paper, we propose an iterative algorithm for solving the generalized elastic net regularization problem with smoothed \ell _{q} (0

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## Bibliographic Info

Article provided by Springer in its journal Computational Optimization and Applications.

Volume (Year): 68 (2017)
Issue (Month): 2 (November)
Pages: 437-454

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 Handle: RePEc:spr:coopap:v:68:y:2017:i:2:d:10.1007_s10589-017-9916-7 DOI: 10.1007/s10589-017-9916-7 Contact details of provider: Web page: http://www.springer.com Order Information: Web: http://www.springer.com/math/journal/10589

## References

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1. Zou, Hui, 2006. "The Adaptive Lasso and Its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1418-1429, December.
2. Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768.
3. Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320.
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