References in zbMATH (referenced in 575 articles )

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  1. Benedetto, John J.; Li, Weilin: Super-resolution by means of Beurling minimal extrapolation (2020)
  2. Denoyelle, Quentin; Duval, Vincent; Peyré, Gabriel; Soubies, Emmanuel: The sliding Frank-Wolfe algorithm and its application to super-resolution microscopy (2020)
  3. Vogt, Michael: On the differences between (L_2) boosting and the Lasso (2020)
  4. Zhao, Yun-Bin: Optimal (k)-thresholding algorithms for sparse optimization problems (2020)
  5. Aravkin, Aleksandr Y.; Burke, James V.; Drusvyatskiy, Dmitry; Friedlander, Michael P.; Roy, Scott: Level-set methods for convex optimization (2019)
  6. Barbara, Abdessamad; Jourani, Abderrahim; Vaiter, Samuel: Maximal solutions of sparse analysis regularization (2019)
  7. Becker, Ruben; Bonifaci, Vincenzo; Karrenbauer, Andreas; Kolev, Pavel; Mehlhorn, Kurt: Two results on slime mold computations (2019)
  8. Bi, Ning; Tan, Jun: Characterization of (\ell_1) minimizer in one-bit compressed sensing (2019)
  9. Carlsson, Marcus: On convex envelopes and regularization of non-convex functionals without moving global minima (2019)
  10. Charkhgard, Hadi; Eshragh, Ali: A new approach to select the best subset of predictors in linear regression modelling: bi-objective mixed integer linear programming (2019)
  11. Churchill, Victor; Gelb, Anne: Detecting edges from non-uniform Fourier data via sparse Bayesian learning (2019)
  12. Cui, Yiran; Morikuni, Keiichi; Tsuchiya, Takashi; Hayami, Ken: Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning (2019)
  13. Delon, Julie; Desolneux, Agnès; Sutour, Camille; Viano, Agathe: RNLp: mixing nonlocal and TV-Lp methods to remove impulse noise from images (2019)
  14. Dobbe, Roel; Liu, Stephan; Yuan, Ye; Tomlin, Claire: Blind identification of fully observed linear time-varying systems via sparse recovery (2019)
  15. Fan, Jianqing; Gong, Wenyan; Zhu, Ziwei: Generalized high-dimensional trace regression via nuclear norm regularization (2019)
  16. Friedlander, Michael P.; Macêdo, Ives; Pong, Ting Kei: Polar convolution (2019)
  17. Ghilli, Daria; Kunisch, Karl: On a monotone scheme for nonconvex nonsmooth optimization with applications to fracture mechanics (2019)
  18. Gibali, Aviv; Mai, Dang Thi; Vinh, Nguyen The: A new relaxed CQ algorithm for solving split feasibility problems in Hilbert spaces and its applications (2019)
  19. Guo, Kanghui; Labate, Demetrio: Geometric separation in (\mathbbR^3) (2019)
  20. Heidarieh, S. M.; Jahed, M.; Ghazizadeh, A.: A new nonlinear sparse component analysis for a biologically plausible model of neurons (2019)

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