References in zbMATH (referenced in 499 articles )

Showing results 1 to 20 of 499.
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  1. Guo, Kanghui; Labate, Demetrio: Geometric separation in $\mathbbR^3$ (2019)
  2. Li, Peng; Chen, Wengu: Signal recovery under cumulative coherence (2019)
  3. Poon, Clarice; Peyré, Gabriel: Multidimensional sparse super-resolution (2019)
  4. Tan, Xin Lu: Optimal estimation of slope vector in high-dimensional linear transformation models (2019)
  5. Wang, Dongqing; Yan, Yaru; Liu, Yanjun; Ding, Junhang: Model recovery for Hammerstein systems using the hierarchical orthogonal matching pursuit method (2019)
  6. Ankenman, Jerrod; Leeb, William: Mixed Hölder matrix discovery via wavelet shrinkage and Calderón-Zygmund decompositions (2018)
  7. Bai, Jianchao; Zhang, Hongchao; Li, Jicheng: A parameterized proximal point algorithm for separable convex optimization (2018)
  8. Beck, Amir; Hallak, Nadav: Proximal mapping for symmetric penalty and sparsity (2018)
  9. Brauer, Christoph; Lorenz, Dirk A.; Tillmann, Andreas M.: A primal-dual homotopy algorithm for $\ell _1$-minimization with $\ell _\infty $-constraints (2018)
  10. Brugiapaglia, Simone; Nobile, Fabio; Micheletti, Stefano; Perotto, Simona: A theoretical study of compressed solving for advection-diffusion-reaction problems (2018)
  11. Cai, Jian-Feng; Wang, Tianming; Wei, Ke: Spectral compressed sensing via projected gradient descent (2018)
  12. Cheng, Wanyou; Dai, Yu-Hong: Gradient-based method with active set strategy for $\ell _1$ optimization (2018)
  13. Chen, Wengu; Ge, Huanmin: Recovery of block sparse signals under the conditions on block RIC and ROC by BOMP and BOMMP (2018)
  14. Chung, Eric T.; Efendiev, Yalchin; Leung, Wing Tat: An adaptive generalized multiscale discontinuous Galerkin method for high-contrast flow problems (2018)
  15. Colbourn, Charles J.; Horsley, Daniel; Syrotiuk, Violet R.: A hierarchical framework for recovery in compressive sensing (2018)
  16. Colbourn, Charles J.; Syrotiuk, Violet R.: On a combinatorial framework for fault characterization (2018)
  17. Dai, Bin; Wang, Yu; Aston, John; Hua, Gang; Wipf, David: Connections with robust PCA and the role of emergent sparsity in variational autoencoder models (2018)
  18. Derksen, Harm: A general theory of singular values with applications to signal denoising (2018)
  19. Ellis, David; Hayashi, Eric; Li, Shidong: Tight and full spark Chebyshev frames with real entries and worst-case coherence analysis (2018)
  20. Fadili, Jalal; Malick, Jér^ome; Peyré, Gabriel: Sensitivity analysis for mirror-stratifiable convex functions (2018)

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