References in zbMATH (referenced in 82 articles )

Showing results 1 to 20 of 82.
Sorted by year (citations)

1 2 3 4 5 next

  1. Cheng, Wanyou; Hu, Qingjie; Li, Donghui: A fast conjugate gradient algorithm with active set prediction for (\ell_1) optimization (2019)
  2. Esmaeili, Hamid; Shabani, Shima; Kimiaei, Morteza: A new generalized shrinkage conjugate gradient method for sparse recovery (2019)
  3. Figueiredo, Mário A. T.: On the use of ADMM for imaging inverse problems: the pros and cons of matrix inversions (2019)
  4. Li, Qian; Bai, Yanqin; Yu, Changjun; Yuan, Ya-xiang: A new piecewise quadratic approximation approach for (L_0) norm minimization problem (2019)
  5. Liu, Zexian; Liu, Hongwei; Wang, Xiping: Accelerated augmented Lagrangian method for total variation minimization (2019)
  6. Maass, Peter: Deep learning for trivial inverse problems (2019)
  7. 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)
  8. Shen, Yuan; Ji, Lei: Partial convolution for total variation deblurring and denoising by new linearized alternating direction method of multipliers with extension step (2019)
  9. Wu, Caiying; Zhan, Jiaming; Lu, Yue; Chen, Jein-Shan: Signal reconstruction by conjugate gradient algorithm based on smoothing (l_1)-norm (2019)
  10. Xu, Yuesheng; Ye, Qi: Generalized Mercer kernels and reproducing kernel Banach spaces (2019)
  11. Barbero, Álvaro; Sra, Suvrit: Modular proximal optimization for multidimensional total-variation regularization (2018)
  12. Cheng, Wanyou; Dai, Yu-Hong: Gradient-based method with active set strategy for (\ell_1) optimization (2018)
  13. Cheng, Wan-You; Li, Dong-Hui: A preconditioned conjugate gradient method with active set strategy for (\ell_1)-regularized least squares (2018)
  14. Chen, Miao; Du, Shou-qiang: The smoothing FR conjugate gradient method for solving a kind of nonsmooth optimization problem with (l_1)-norm (2018)
  15. Iutzeler, Franck; Malick, Jérôme: On the proximal gradient algorithm with alternated inertia (2018)
  16. Lu, Zhaosong; Chen, Xiaojun: Generalized conjugate gradient methods for (\ell_1) regularized convex quadratic programming with finite convergence (2018)
  17. Ülkü, İrem; Kizgut, Ersin: Large-scale hyperspectral image compression via sparse representations based on online learning (2018)
  18. Zhu, Jianguang; Li, Kai; Hao, Binbin: Image restoration by a mixed high-order total variation and (l_1) regularization model (2018)
  19. Zibetti, Marcelo V. W.; Lin, Chuan; Herman, Gabor T.: Total variation superiorized conjugate gradient method for image reconstruction (2018)
  20. Buccini, Alessandro: Regularizing preconditioners by non-stationary iterated Tikhonov with general penalty term (2017)

1 2 3 4 5 next