References in zbMATH (referenced in 452 articles )

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  1. Ankenman, Jerrod; Leeb, William: Mixed Hölder matrix discovery via wavelet shrinkage and Calderón-Zygmund decompositions (2018)
  2. Beck, Amir; Hallak, Nadav: Proximal mapping for symmetric penalty and sparsity (2018)
  3. Brauer, Christoph; Lorenz, Dirk A.; Tillmann, Andreas M.: A primal-dual homotopy algorithm for $\ell _1$-minimization with $\ell _\infty $-constraints (2018)
  4. Brugiapaglia, Simone; Nobile, Fabio; Micheletti, Stefano; Perotto, Simona: A theoretical study of compressed solving for advection-diffusion-reaction problems (2018)
  5. Cheng, Wanyou; Dai, Yu-Hong: Gradient-based method with active set strategy for $\ell _1$ optimization (2018)
  6. Colbourn, Charles J.; Horsley, Daniel; Syrotiuk, Violet R.: A hierarchical framework for recovery in compressive sensing (2018)
  7. Flinth, Axel; Kutyniok, Gitta: PROMP: A sparse recovery approach to lattice-valued signals (2018)
  8. Frikel, Jürgen; Haltmeier, Markus: Efficient regularization with wavelet sparsity constraints in photoacoustic tomography (2018)
  9. Giarré, L.; Argenti, F.: Mixed $\ell_2$ and $\ell_1$-norm regularization for adaptive detrending with ARMA modeling (2018)
  10. Gibali, Aviv; Liu, Li-Wei; Tang, Yu-Chao: Note on the modified relaxation CQ algorithm for the split feasibility problem (2018)
  11. Huang, Jian; Jiao, Yuling; Lu, Xiliang; Zhu, Liping: Robust decoding from 1-bit compressive sampling with ordinary and regularized least squares (2018)
  12. Huan, Xun; Safta, Cosmin; Sargsyan, Khachik; Vane, Zachary P.; Lacaze, Guilhem; Oefelein, Joseph C.; Najm, Habib N.: Compressive sensing with cross-validation and stop-sampling for sparse polynomial chaos expansions (2018)
  13. Lai, Chun-Kit; Li, Shidong; Mondo, Daniel: Spark-level sparsity and the $\ell_1$ tail minimization (2018)
  14. Li, Chong-Jun; Zhong, Yi-Jun: A pseudo-heuristic parameter selection rule for $l^1$-regularized minimization problems (2018)
  15. Li, Xudong; Sun, Defeng; Toh, Kim-Chuan: A highly efficient semismooth Newton augmented Lagrangian method for solving lasso problems (2018)
  16. Lv, Shaogao; You, Mengying; Lin, Huazhen; Lian, Heng; Huang, Jian: On the sign consistency of the Lasso for the high-dimensional Cox model (2018)
  17. Moudafi, Abdellatif; Gibali, Aviv: $l_1$-$l_2$ regularization of split feasibility problems (2018)
  18. Mousavi, Ali; Maleki, Arian; Baraniuk, Richard G.: Consistent parameter estimation for LASSO and approximate message passing (2018)
  19. Nguyen, Trong Phong; Pauwels, Edouard; Richard, Emile; Suter, Bruce W.: Extragradient method in optimization: convergence and complexity (2018)
  20. Quéau, Yvain; Durou, Jean-Denis; Aujol, Jean-François: Variational methods for normal integration (2018)

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