References in zbMATH (referenced in 605 articles )

Showing results 21 to 40 of 605.
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  1. Becker, Ruben; Bonifaci, Vincenzo; Karrenbauer, Andreas; Kolev, Pavel; Mehlhorn, Kurt: Two results on slime mold computations (2019)
  2. Bi, Ning; Tan, Jun: Characterization of (\ell_1) minimizer in one-bit compressed sensing (2019)
  3. Brust, Johannes J.; Marcia, Roummel F.; Petra, Cosmin G.: Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints (2019)
  4. Carlsson, Marcus: On convex envelopes and regularization of non-convex functionals without moving global minima (2019)
  5. 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)
  6. Churchill, Victor; Gelb, Anne: Detecting edges from non-uniform Fourier data via sparse Bayesian learning (2019)
  7. 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)
  8. Delon, Julie; Desolneux, Agnès; Sutour, Camille; Viano, Agathe: RNLp: mixing nonlocal and TV-Lp methods to remove impulse noise from images (2019)
  9. Dobbe, Roel; Liu, Stephan; Yuan, Ye; Tomlin, Claire: Blind identification of fully observed linear time-varying systems via sparse recovery (2019)
  10. Fan, Jianqing; Gong, Wenyan; Zhu, Ziwei: Generalized high-dimensional trace regression via nuclear norm regularization (2019)
  11. Friedlander, Michael P.; Macêdo, Ives; Pong, Ting Kei: Polar convolution (2019)
  12. Gan, Hongping; Xiao, Song; Liu, Feng: Chaotic binary sensing matrices (2019)
  13. Ghilli, Daria; Kunisch, Karl: On a monotone scheme for nonconvex nonsmooth optimization with applications to fracture mechanics (2019)
  14. 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)
  15. Guo, Kanghui; Labate, Demetrio: Geometric separation in (\mathbbR^3) (2019)
  16. Heidarieh, S. M.; Jahed, M.; Ghazizadeh, A.: A new nonlinear sparse component analysis for a biologically plausible model of neurons (2019)
  17. Huang, Cheng; Huo, Xiaoming: A distributed one-step estimator (2019)
  18. Kotzagiannidis, M. S.; Dragotti, P. L.: Sampling and reconstruction of sparse signals on circulant graphs. An introduction to graph-FRI (2019)
  19. Li, Peng; Chen, Wengu: Signal recovery under cumulative coherence (2019)
  20. Li, Qian; Bai, Yanqin; Yu, Changjun; Yuan, Ya-xiang: A new piecewise quadratic approximation approach for (L_0) norm minimization problem (2019)

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