References in zbMATH (referenced in 676 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. Chang, Xiaokai; Yang, Junfeng: A golden ratio primal-dual algorithm for structured convex optimization (2021)
  3. 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)
  4. 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)
  5. Cortiella, Alexandre; Park, Kwang-Chun; Doostan, Alireza: Sparse identification of nonlinear dynamical systems via reweighted (\ell_1)-regularized least squares (2021)
  6. 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)
  7. 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)
  8. Elvira, Clément; Gribonval, Rémi; Soussen, Charles; Herzet, Cédric: When does OMP achieve exact recovery with continuous dictionaries? (2021)
  9. Gebken, Bennet; Peitz, Sebastian: An efficient descent method for locally Lipschitz multiobjective optimization problems (2021)
  10. Genzel, Martin; Kutyniok, Gitta; März, Maximilian: (\ell^1)-analysis minimization and generalized (co-)sparsity: when does recovery succeed? (2021)
  11. Huang, Jian; Jiao, Yuling; Jin, Bangti; Liu, Jin; Lu, Xiliang; Yang, Can: A unified primal dual active set algorithm for nonconvex sparse recovery (2021)
  12. 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)
  13. Jiang, Shan; Fang, Shu-Cherng; Jin, Qingwei: Sparse solutions by a quadratically constrained (\ellq) ((0 < q< 1)) minimization model (2021)
  14. Li, Peixuan; Shen, Yuan; Jiang, Suhong; Liu, Zehua; Chen, Caihua: Convergence study on strictly contractive peaceman-Rachford splitting method for nonseparable convex minimization models with quadratic coupling terms (2021)
  15. Van Hieu, Dang; Anh, Pham Ky; Muu, Le Dung: Modified forward-backward splitting method for variational inclusions (2021)
  16. Wang, Wendong; Zhang, Feng; Wang, Jianjun: Low-rank matrix recovery via regularized nuclear norm minimization (2021)
  17. Zeng, Liaoyuan; Yu, Peiran; Pong, Ting Kei: Analysis and algorithms for some compressed sensing models based on L1/L2 minimization (2021)
  18. Akkaya, Deniz; Pınar, Mustafa Ç.: Minimizers of sparsity regularized Huber loss function (2020)
  19. Bastani, Hamsa; Bayati, Mohsen: Online decision making with high-dimensional covariates (2020)
  20. Benedetto, John J.; Li, Weilin: Super-resolution by means of Beurling minimal extrapolation (2020)

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