References in zbMATH (referenced in 518 articles )

Showing results 1 to 20 of 518.
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  1. Barbara, Abdessamad; Jourani, Abderrahim; Vaiter, Samuel: Maximal solutions of sparse analysis regularization (2019)
  2. Charkhgard, Hadi; Eshragh, Ali: A new approach to select the best subset of predictors in linear regression modelling: bi-objective mixed integer linear programming (2019)
  3. Guo, Kanghui; Labate, Demetrio: Geometric separation in (\mathbbR^3) (2019)
  4. Li, Peng; Chen, Wengu: Signal recovery under cumulative coherence (2019)
  5. Li, Qian; Bai, Yanqin; Yu, Changjun; Yuan, Ya-xiang: A new piecewise quadratic approximation approach for (L_0) norm minimization problem (2019)
  6. Pinar, Mustafa Ç.: Necessary and sufficient conditions for noiseless sparse recovery via convex quadratic splines (2019)
  7. Poon, Clarice; Peyré, Gabriel: Multidimensional sparse super-resolution (2019)
  8. Schöpfer, Frank; Lorenz, Dirk A.: Linear convergence of the randomized sparse Kaczmarz method (2019)
  9. Tan, Xin Lu: Optimal estimation of slope vector in high-dimensional linear transformation models (2019)
  10. Wang, Dongqing; Yan, Yaru; Liu, Yanjun; Ding, Junhang: Model recovery for Hammerstein systems using the hierarchical orthogonal matching pursuit method (2019)
  11. Wu, Ying Nian; Gao, Ruiqi; Han, Tian; Zhu, Song-Chun: A tale of three probabilistic families: discriminative, descriptive, and generative models (2019)
  12. Xu, Yangyang: Asynchronous parallel primal-dual block coordinate update methods for affinely constrained convex programs (2019)
  13. Zeng, Chao; Jia, Rui; Wu, Chunlin: An iterative support shrinking algorithm for non-Lipschitz optimization in image restoration (2019)
  14. Ankenman, Jerrod; Leeb, William: Mixed Hölder matrix discovery via wavelet shrinkage and Calderón-Zygmund decompositions (2018)
  15. Bai, Jianchao; Zhang, Hongchao; Li, Jicheng: A parameterized proximal point algorithm for separable convex optimization (2018)
  16. Beck, Amir; Hallak, Nadav: Proximal mapping for symmetric penalty and sparsity (2018)
  17. Brauer, Christoph; Lorenz, Dirk A.; Tillmann, Andreas M.: A primal-dual homotopy algorithm for (\ell_1)-minimization with (\ell_\infty)-constraints (2018)
  18. Brugiapaglia, Simone; Nobile, Fabio; Micheletti, Stefano; Perotto, Simona: A theoretical study of compressed solving for advection-diffusion-reaction problems (2018)
  19. Cai, Jian-Feng; Wang, Tianming; Wei, Ke: Spectral compressed sensing via projected gradient descent (2018)
  20. Cheng, Wanyou; Dai, Yu-Hong: Gradient-based method with active set strategy for (\ell_1) optimization (2018)

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