References in zbMATH (referenced in 436 articles )

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  1. Beck, Amir; Hallak, Nadav: Proximal mapping for symmetric penalty and sparsity (2018)
  2. Brauer, Christoph; Lorenz, Dirk A.; Tillmann, Andreas M.: A primal-dual homotopy algorithm for $\ell _1$-minimization with $\ell _\infty $-constraints (2018)
  3. Brugiapaglia, Simone; Nobile, Fabio; Micheletti, Stefano; Perotto, Simona: A theoretical study of compressed solving for advection-diffusion-reaction problems (2018)
  4. Cheng, Wanyou; Dai, Yu-Hong: Gradient-based method with active set strategy for $\ell _1$ optimization (2018)
  5. Colbourn, Charles J.; Horsley, Daniel; Syrotiuk, Violet R.: A hierarchical framework for recovery in compressive sensing (2018)
  6. Frikel, Jürgen; Haltmeier, Markus: Efficient regularization with wavelet sparsity constraints in photoacoustic tomography (2018)
  7. Lai, Chun-Kit; Li, Shidong; Mondo, Daniel: Spark-level sparsity and the $\ell_1$ tail minimization (2018)
  8. Li, Chong-Jun; Zhong, Yi-Jun: A pseudo-heuristic parameter selection rule for $l^1$-regularized minimization problems (2018)
  9. Li, Xudong; Sun, Defeng; Toh, Kim-Chuan: A highly efficient semismooth Newton augmented Lagrangian method for solving lasso problems (2018)
  10. Mousavi, Ali; Maleki, Arian; Baraniuk, Richard G.: Consistent parameter estimation for LASSO and approximate message passing (2018)
  11. Nguyen, Trong Phong; Pauwels, Edouard; Richard, Emile; Suter, Bruce W.: Extragradient method in optimization: convergence and complexity (2018)
  12. Quéau, Yvain; Durou, Jean-Denis; Aujol, Jean-François: Variational methods for normal integration (2018)
  13. Sitharam, Meera; Tarifi, Mohamad; Wang, Menghan: Combinatorial rigidity of incidence systems and application to dictionary learning (2018)
  14. Vanli, N. D.; Gürbüzbalaban, Mert; Ozdaglar, A.: Global convergence rate of proximal incremental aggregated gradient methods (2018)
  15. Xu, Yangyang; Zhang, Shuzhong: Accelerated primal-dual proximal block coordinate updating methods for constrained convex optimization (2018)
  16. Yu, Yongchao; Peng, Jigen: The matrix splitting based proximal fixed-point algorithms for quadratically constrained $\ell_1$ minimization and Dantzig selector (2018)
  17. Zhao, Jing; Jia, Yunnuan; Zhang, Hang: General alternative regularization methods for split equality common fixed-point problem (2018)
  18. Adamo, Alessandro; Grossi, Giuliano; Lanzarotti, Raffaella; Lin, Jianyi: Sparse decomposition by iterating Lipschitzian-type mappings (2017)
  19. Ahn, Miju; Pang, Jong-Shi; Xin, Jack: Difference-of-convex learning: directional stationarity, optimality, and sparsity (2017)
  20. Alberti, Giovanni S.; Ammari, Habib: Disjoint sparsity for signal separation and applications to hybrid inverse problems in medical imaging (2017)

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