References in zbMATH (referenced in 363 articles )

Showing results 1 to 20 of 363.
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  1. Chen, Xiaojun; Guo, Lei; Lu, Zhaosong; Ye, Jane J.: An augmented Lagrangian method for non-Lipschitz nonconvex programming (2017)
  2. Duval, Vincent; Peyré, Gabriel: Sparse regularization on thin grids. I: The Lasso. (2017)
  3. Gilbert, Jean Charles: On the solution uniqueness characterization in the L1 norm and polyhedral gauge recovery (2017)
  4. Jakeman, John D.; Narayan, Akil; Zhou, Tao: A generalized sampling and preconditioning scheme for sparse approximation of polynomial chaos expansions (2017)
  5. Lorenz, Dirk A.; Resmerita, Elena: Flexible sparse regularization (2017)
  6. Reem, Daniel; de Pierro, Alvaro: A new convergence analysis and perturbation resilience of some accelerated proximal forward-backward algorithms with errors (2017)
  7. Xia, Yu; Li, Song: Nonuniform recovery of fusion frame structured sparse signals (2017)
  8. Zhao, Yun-Bin; Luo, Zhi-Quan: Constructing new weighted $l_1$-algorithms for the sparsest points of polyhedral sets (2017)
  9. Abusag, Nadia M.; Chappell, David J.: On sparse reconstructions in near-field acoustic holography using the method of superposition (2016)
  10. Beck, Amir; Hallak, Nadav: On the minimization over sparse symmetric sets: projections, optimality conditions, and algorithms (2016)
  11. Bertsimas, Dimitris; King, Angela: OR forum: An algorithmic approach to linear regression (2016)
  12. Bojarovska, Irena; Flinth, Axel: Phase retrieval from Gabor measurements (2016)
  13. Cai, Jia; Xiang, Dao-Hong: Statistical consistency of coefficient-based conditional quantile regression (2016)
  14. Chui, Charles K.; Mhaskar, H.N.; van der Walt, Maria D.: Data-driven atomic decomposition via frequency extraction of intrinsic mode functions (2016)
  15. Demanet, Laurent; Zhang, Xiangxiong: Eventual linear convergence of the Douglas-Rachford iteration for basis pursuit (2016)
  16. Dobriban, Edgar; Fan, Jianqing: Regularity properties for sparse regression (2016)
  17. Fornasier, Massimo; Peter, Steffen; Rauhut, Holger; Worm, Stephan: Conjugate gradient acceleration of iteratively re-weighted least squares methods (2016)
  18. Griesmaier, Roland; Sylvester, John: Far field splitting by iteratively reweighted $\ell^1$ minimization (2016)
  19. Hager, William W.; Phan, Dzung T.; Zhu, Jiajie: Projection algorithms for nonconvex minimization with application to sparse principal component analysis (2016)
  20. Hager, William W.; Zhang, Hongchao: Projection onto a polyhedron that exploits sparsity (2016)

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