Yall1

YALL1: Your ALgorithms for L1: YALL1 package now includes: YALL1 Basic, a solver for sparse reconstruction. YALL1 Group, a solver for group/joint sparse reconstruction.

Keywords for this software

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References in zbMATH (referenced in 67 articles )

Showing results 21 to 40 of 67.
Sorted by year (citations)
  1. Kumar, Ahlad; Ahmad, M. Omair; Swamy, M. N. S.: An efficient denoising framework using weighted overlapping group sparsity (2018)
  2. Li, Yingyi; Zhang, Haibin; Li, Zhibao; Gao, Huan: Proximal gradient method with automatic selection of the parameter by automatic differentiation (2018)
  3. Lu, Zhaosong; Chen, Xiaojun: Generalized conjugate gradient methods for (\ell_1) regularized convex quadratic programming with finite convergence (2018)
  4. Sun, Tao; Yin, Penghang; Cheng, Lizhi; Jiang, Hao: Alternating direction method of multipliers with difference of convex functions (2018)
  5. Yu, Yongchao; Peng, Jigen: The matrix splitting based proximal fixed-point algorithms for quadratically constrained (\ell_1) minimization and Dantzig selector (2018)
  6. Ding, Liang; Zhao, Hui; Dou, Yixin: Sparse signal inversion with impulsive noise by dual spectral projected gradient method (2017)
  7. Fang, Xiaozhao; Xu, Yong; Li, Xuelong; Lai, Zhihui; Teng, Shaohua; Fei, Lunke: Orthogonal self-guided similarity preserving projection for classification and clustering (2017)
  8. Fan, Ya-Ru; Wang, Yilun; Huang, Ting-Zhu: Enhanced joint sparsity via iterative support detection (2017)
  9. Wang, Si; Guo, Weihong; Huang, Ting-Zhu; Raskutti, Garvesh: Image inpainting using reproducing kernel Hilbert space and Heaviside functions (2017)
  10. Xu, Lijun; Yu, Bo; Zhang, Yin: An alternating direction and projection algorithm for structure-enforced matrix factorization (2017)
  11. Zhang, Kai; Li, JingShi; Song, YongCun; Wang, XiaoShen: An alternating direction method of multipliers for elliptic equation constrained optimization problem (2017)
  12. Byrd, Richard H.; Chin, Gillian M.; Nocedal, Jorge; Oztoprak, Figen: A family of second-order methods for convex (\ell_1)-regularized optimization (2016)
  13. Deng, Wei; Yin, Wotao: On the global and linear convergence of the generalized alternating direction method of multipliers (2016)
  14. He, Bingsheng; Ma, Feng; Yuan, Xiaoming: Convergence study on the symmetric version of ADMM with larger step sizes (2016)
  15. Hou, Liusheng; He, Hongjin; Yang, Junfeng: A partially parallel splitting method for multiple-block separable convex programming with applications to robust PCA (2016)
  16. Liu, Sanming; Wang, Zhijie; Liu, Chongyang: On convergence analysis of dual proximal-gradient methods with approximate gradient for a class of nonsmooth convex minimization problems (2016)
  17. Liu, Yongle; Guo, Ling: Stochastic collocation via (\ell_1)-minimisation on low discrepancy point sets with application to uncertainty quantification (2016)
  18. Shiraki, Yoshifumi; Kabashima, Yoshiyuki: Typical reconstruction performance for distributed compressed sensing based on (\ell_2,1 )-norm regularized least square and Bayesian optimal reconstruction: influences of noise (2016)
  19. Swamy, Ranganath Biligere Narayana: Sparse topical analysis of dyadic data using matrix tri-factorization (2016)
  20. Xu, Yangyang; Yin, Wotao: A fast patch-dictionary method for whole image recovery (2016)