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Sparse Approximation using $\ell_1-\ell_2$ Minimization and Its Application to Stochastic Collocation

  • Published:2017-01 Issue:1 Volume:39 Page:A229-A254
  • ISSN:1064-8275
  • Container-title:SIAM Journal on Scientific Computing
  • language:en
  • Short-container-title:SIAM J. Sci. Comput.

Author:

Yan Liang,Shin Yeonjong,Xiu Dongbin

Funder

Defense Advanced Research Projects Agency

Air Force Office of Scientific Research

Office of Science

National Natural Science Foundation of China

National Science Foundation

Natural Science Foundation of Jiangsu Province

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics

Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. αℓ1−βℓ2 sparsity regularization for nonlinear ill-posed problems;Journal of Computational and Applied Mathematics;2024-11

2. Sparse recovery with coherent frames via ℓ1−2-analysis;International Journal of Wavelets, Multiresolution and Information Processing;2024-05-29

3. k-Sparse Vector Recovery via $$\ell _1-\alpha \ell _2$$ Local Minimization;Journal of Optimization Theory and Applications;2024-02-15

4. \(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery;SIAM Journal on Imaging Sciences;2023-10-11

5. A projected gradient method for nonlinear inverse problems with ℓ1 − ℓ2 sparsity regularization;Journal of Inverse and Ill-posed Problems;2023-07-25
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