References in zbMATH (referenced in 676 articles )

Showing results 41 to 60 of 676.
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  1. Heuer, Janin; Matter, Frederic; Pfetsch, Marc E.; Theobald, Thorsten: Block-sparse recovery of semidefinite systems and generalized null space conditions (2020)
  2. Hong, Mingyi; Chang, Tsung-Hui; Wang, Xiangfeng; Razaviyayn, Meisam; Ma, Shiqian; Luo, Zhi-Quan: A block successive upper-bound minimization method of multipliers for linearly constrained convex optimization (2020)
  3. Huai, Kaizhan; Ni, Mingfang; Wang, Lei; Yu, Zhanke; Yang, Jing: A linearized Peaceman-Rachford splitting method for structured convex optimization with application to stable principal component pursuit (2020)
  4. Huang, Yong; Yu, Jianqi; Beck, James L.; Zhu, Huiping; Li, Hui: Novel sparseness-inducing dual Kalman filter and its application to tracking time-varying spatially-sparse structural stiffness changes and inputs (2020)
  5. Jiang, Fan; Wu, Zhongming; Cai, Xingju: Generalized ADMM with optimal indefinite proximal term for linearly constrained convex optimization (2020)
  6. Lange, Jan-Hendrik; Pfetsch, Marc E.; Seib, Bianca M.; Tillmann, Andreas M.: Sparse recovery with integrality constraints (2020)
  7. Lian, Yuefang; Zhou, Jinchuan; Tang, Jingyong; Sun, Zhongfeng: Stability of 1-bit compressed sensing in sparse data reconstruction (2020)
  8. Li, Peng; Chen, Wengu; Ge, Huanmin; Ng, Michael K.: (\ell_1-\alpha\ell_2) minimization methods for signal and image reconstruction with impulsive noise removal (2020)
  9. Li, Song; Lin, Junhong; Liu, Dekai; Sun, Wenchang: Iterative hard thresholding for compressed data separation (2020)
  10. Liu, Zuozhi; Wang, Xiaotian; Yuan, Quan: Robust detection of neural spikes using sparse coding based features (2020)
  11. Luu, Tung Duy; Fadili, Jalal; Chesneau, Christophe: Sharp oracle inequalities for low-complexity priors (2020)
  12. Mayeli, Azita: Non-convex optimization via strongly convex majorization-minimization (2020)
  13. Mousavi, Ahmad; Rezaee, Mehdi; Ayanzadeh, Ramin: A survey on compressive sensing: classical results and recent advancements (2020)
  14. Nagahara, Masaaki; Chatterjee, Debasish; Challapalli, Niharika; Vidyasagar, Mathukumalli: CLOT norm minimization for continuous hands-off control (2020)
  15. Novikov, S. Ya.: Processing of sparse signals and mutual coherence of “measurable” vectors (2020)
  16. Rebollo-Neira, Laura; Rozložník, Miroslav; Sasmal, Pradip: Analysis of the self projected matching pursuit algorithm (2020)
  17. Shehu, Yekini; Iyiola, Olaniyi S.; Ogbuisi, Ferdinard U.: Iterative method with inertial terms for nonexpansive mappings: applications to compressed sensing (2020)
  18. Sochala, Pierre; Chen, Chen; Dawson, Clint; Iskandarani, Mohamed: A polynomial chaos framework for probabilistic predictions of storm surge events (2020)
  19. Tao, Min: Convergence study of indefinite proximal ADMM with a relaxation factor (2020)
  20. Tirer, Tom; Giryes, Raja: Generalizing CoSaMP to signals from a union of low dimensional linear subspaces (2020)

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