An efficient regularized PR splitting type algorithm for two-block nonconvex linear constrained programs in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg" display="inline" id="d1e396"><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> regularized compressed sensing problems-Reference-Cited by-同舟云学术

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An efficient regularized PR splitting type algorithm for two-block nonconvex linear constrained programs in ℓ1/2 regularized compressed sensing problems

Published:2025-01 Issue: Volume:453 Page:116145
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Chao Miantao,Lu Yongzi,Jian Jinbao,Xu Xiao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference28 articles.

1. L_{1/2} Regularization: A thresholding representation theory and a fast solver;Xu;IEEE Trans. Neural Netw. Learn. Syst.,2012

2. Large-scale sparse logistic regression;Liu,2009

3. A dual algorithm for the solution of nonlinear variational problems via finite element approximation;Gabay;Appl. Math. Comput.,1976

4. Approximation par éléments finis d’ordre un et résolution par pénalisation-dualité d’une classe de problèmes non linéaires. RAIRO. Rech. Opér;Glowinski;RAIRO R2,1975

5. Splitting algorithms for the sum of two nonlinear operators;Lions;SIAM J. Numer. Anal.,1979

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