References in zbMATH (referenced in 687 articles )

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  1. Abeynanda, Hansi K.; Lanel, G. H. J.: A study on distributed optimization over large-scale networked systems (2021)
  2. Amir, Tal; Basri, Ronen; Nadler, Boaz: The trimmed lasso: sparse recovery guarantees and practical optimization by the generalized soft-min penalty (2021)
  3. Bomze, Immanuel M.; Rinaldi, Francesco; Zeffiro, Damiano: Frank-Wolfe and friends: a journey into projection-free first-order optimization methods (2021)
  4. Bonifaci, Vincenzo: A Laplacian approach to (\ell_1)-norm minimization (2021)
  5. Chang, Xiaokai; Yang, Junfeng: A golden ratio primal-dual algorithm for structured convex optimization (2021)
  6. Chen, Jinchi; Gao, Weiguo; Wei, Ke: Exact matrix completion based on low rank Hankel structure in the Fourier domain (2021)
  7. Chen, Liang; Li, Xudong; Sun, Defeng; Toh, Kim-Chuan: On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming (2021)
  8. Chui, Charles K.; Jiang, Qingtang; Li, Lin; Lu, Jian: Time-scale-chirp(_-)rate operator for recovery of non-stationary signal components with crossover instantaneous frequency curves (2021)
  9. Cortiella, Alexandre; Park, Kwang-Chun; Doostan, Alireza: Sparse identification of nonlinear dynamical systems via reweighted (\ell_1)-regularized least squares (2021)
  10. Dixit, A.; Sahu, D. R.; Gautam, P.; Som, T.; Yao, J. C.: An accelerated forward-backward splitting algorithm for solving inclusion problems with applications to regression and link prediction problems (2021)
  11. Du, Yi-Shu; Hayami, Ken; Zheng, Ning; Morikuni, Keiichi; Yin, Jun-Feng: Kaczmarz-type inner-iteration preconditioned flexible GMRES methods for consistent linear systems (2021)
  12. Du, Yi-Shu; Hayami, Ken; Zheng, Ning; Morikuni, Keiichi; Yin, Jun-Feng: Kaczmarz-type inner-iteration preconditioned flexible GMRES methods for consistent linear systems (2021)
  13. Elvira, Clément; Gribonval, Rémi; Soussen, Charles; Herzet, Cédric: When does OMP achieve exact recovery with continuous dictionaries? (2021)
  14. Fan, Jianqing; Wang, Weichen; Zhu, Ziwei: A shrinkage principle for heavy-tailed data: high-dimensional robust low-rank matrix recovery (2021)
  15. Gebken, Bennet; Peitz, Sebastian: An efficient descent method for locally Lipschitz multiobjective optimization problems (2021)
  16. Genzel, Martin; Kutyniok, Gitta; März, Maximilian: (\ell^1)-analysis minimization and generalized (co-)sparsity: when does recovery succeed? (2021)
  17. Huang, Jian; Jiao, Yuling; Jin, Bangti; Liu, Jin; Lu, Xiliang; Yang, Can: A unified primal dual active set algorithm for nonconvex sparse recovery (2021)
  18. Huang, Yong; Beck, James L.; Li, Hui; Ren, Yulong: Sequential sparse Bayesian learning with applications to system identification for damage assessment and recursive reconstruction of image sequences (2021)
  19. Jiang, Shan; Fang, Shu-Cherng; Jin, Qingwei: Sparse solutions by a quadratically constrained (\ellq) ((0 < q< 1)) minimization model (2021)
  20. Ke, Chengyu; Ahn, Miju; Shin, Sunyoung; Lou, Yifei: Iteratively reweighted group Lasso based on log-composite regularization (2021)

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