References in zbMATH (referenced in 89 articles )

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  1. Cheng, Wanyou; Dai, Yu-Hong: An active set Newton-CG method for (\ell_1) optimization (2021)
  2. Kikuchi, Paula A.; Oliveira, Aurelio R. L.: New preconditioners applied to linear programming and the compressive sensing problems (2020)
  3. Shen, Chungen; Xue, Wenjuan; Zhang, Lei-Hong; Wang, Baiyun: An active-set proximal-Newton algorithm for (\ell_1) regularized optimization problems with box constraints (2020)
  4. Cheng, Wanyou; Hu, Qingjie; Li, Donghui: A fast conjugate gradient algorithm with active set prediction for (\ell_1) optimization (2019)
  5. Esmaeili, Hamid; Shabani, Shima; Kimiaei, Morteza: A new generalized shrinkage conjugate gradient method for sparse recovery (2019)
  6. Feng, Lei; Sun, Huaijiang; Zhu, Jun: Robust image compressive sensing based on half-quadratic function and weighted Schatten-(p) norm (2019)
  7. Figueiredo, Mário A. T.: On the use of ADMM for imaging inverse problems: the pros and cons of matrix inversions (2019)
  8. Li, Qian; Bai, Yanqin; Yu, Changjun; Yuan, Ya-xiang: A new piecewise quadratic approximation approach for (L_0) norm minimization problem (2019)
  9. Liu, Zexian; Liu, Hongwei; Wang, Xiping: Accelerated augmented Lagrangian method for total variation minimization (2019)
  10. Maass, Peter: Deep learning for trivial inverse problems (2019)
  11. Rahpeymaii, Farzad; Amini, Keyvan; Allahviranloo, Tofigh; Malkhalifeh, Mohsen Rostamy: A new class of conjugate gradient methods for unconstrained smooth optimization and absolute value equations (2019)
  12. Shen, Yuan; Ji, Lei: Partial convolution for total variation deblurring and denoising by new linearized alternating direction method of multipliers with extension step (2019)
  13. Wu, Caiying; Zhan, Jiaming; Lu, Yue; Chen, Jein-Shan: Signal reconstruction by conjugate gradient algorithm based on smoothing (l_1)-norm (2019)
  14. Xu, Yuesheng; Ye, Qi: Generalized Mercer kernels and reproducing kernel Banach spaces (2019)
  15. Zhou, Yu; Guo, Hainan: Collaborative block compressed sensing reconstruction with dual-domain sparse representation (2019)
  16. Barbero, Álvaro; Sra, Suvrit: Modular proximal optimization for multidimensional total-variation regularization (2018)
  17. Cheng, Wanyou; Dai, Yu-Hong: Gradient-based method with active set strategy for (\ell_1) optimization (2018)
  18. Cheng, Wan-You; Li, Dong-Hui: A preconditioned conjugate gradient method with active set strategy for (\ell_1)-regularized least squares (2018)
  19. Chen, Miao; Du, Shou-qiang: The smoothing FR conjugate gradient method for solving a kind of nonsmooth optimization problem with (l_1)-norm (2018)
  20. Iutzeler, Franck; Malick, Jérôme: On the proximal gradient algorithm with alternated inertia (2018)

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