References in zbMATH (referenced in 80 articles )

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  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. Li, Qian; Bai, Yanqin; Yu, Changjun; Yuan, Ya-xiang: A new piecewise quadratic approximation approach for (L_0) norm minimization problem (2019)
  4. Liu, Zexian; Liu, Hongwei; Wang, Xiping: Accelerated augmented Lagrangian method for total variation minimization (2019)
  5. 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)
  6. Shen, Yuan; Ji, Lei: Partial convolution for total variation deblurring and denoising by new linearized alternating direction method of multipliers with extension step (2019)
  7. Wu, Caiying; Zhan, Jiaming; Lu, Yue; Chen, Jein-Shan: Signal reconstruction by conjugate gradient algorithm based on smoothing (l_1)-norm (2019)
  8. Xu, Yuesheng; Ye, Qi: Generalized Mercer kernels and reproducing kernel Banach spaces (2019)
  9. Barbero, Álvaro; Sra, Suvrit: Modular proximal optimization for multidimensional total-variation regularization (2018)
  10. Cheng, Wanyou; Dai, Yu-Hong: Gradient-based method with active set strategy for (\ell_1) optimization (2018)
  11. Cheng, Wan-You; Li, Dong-Hui: A preconditioned conjugate gradient method with active set strategy for (\ell_1)-regularized least squares (2018)
  12. Chen, Miao; Du, Shou-qiang: The smoothing FR conjugate gradient method for solving a kind of nonsmooth optimization problem with (l_1)-norm (2018)
  13. Iutzeler, Franck; Malick, Jérôme: On the proximal gradient algorithm with alternated inertia (2018)
  14. Lu, Zhaosong; Chen, Xiaojun: Generalized conjugate gradient methods for (\ell_1) regularized convex quadratic programming with finite convergence (2018)
  15. Ülkü, İrem; Kizgut, Ersin: Large-scale hyperspectral image compression via sparse representations based on online learning (2018)
  16. Zhu, Jianguang; Li, Kai; Hao, Binbin: Image restoration by a mixed high-order total variation and (l_1) regularization model (2018)
  17. Zibetti, Marcelo V. W.; Lin, Chuan; Herman, Gabor T.: Total variation superiorized conjugate gradient method for image reconstruction (2018)
  18. Buccini, Alessandro: Regularizing preconditioners by non-stationary iterated Tikhonov with general penalty term (2017)
  19. Deng, Hong; Ren, Dongwei; Xiao, Gang; Zhang, David; Zuo, Wangmeng: A coordinate descent method for total variation minimization (2017)
  20. Gong, Maoguo; Jiang, Xiangming; Li, Hao: Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework (2017)

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