References in zbMATH (referenced in 234 articles )

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  1. Banert, Sebastian; Ringh, Axel; Adler, Jonas; Karlsson, Johan; Öktem, Ozan: Data-driven nonsmooth optimization (2020)
  2. O’Connor, Daniel; Vandenberghe, Lieven: On the equivalence of the primal-dual hybrid gradient method and Douglas-Rachford splitting (2020)
  3. Adcock, Ben; Gelb, Anne; Song, Guohui; Sui, Yi: Joint sparse recovery based on variances (2019)
  4. Adly, Samir; Bourdin, Loïc; Caubet, Fabien: On a decomposition formula for the proximal operator of the sum of two convex functions (2019)
  5. Ahookhosh, Masoud; Neumaier, Arnold: An optimal subgradient algorithm with subspace search for costly convex optimization problems (2019)
  6. Arridge, Simon; Maass, Peter; Öktem, Ozan; Schönlieb, Carola-Bibiane: Solving inverse problems using data-driven models (2019)
  7. Banjac, Goran; Goulart, Paul; Stellato, Bartolomeo; Boyd, Stephen: Infeasibility detection in the alternating direction method of multipliers for convex optimization (2019)
  8. Becker, Stephen; Fadili, Jalal; Ochs, Peter: On quasi-Newton forward-backward splitting: proximal calculus and convergence (2019)
  9. Bitterlich, Sandy; Boţ, Radu Ioan; Csetnek, Ernö Robert; Wanka, Gert: The proximal alternating minimization algorithm for two-block separable convex optimization problems with linear constraints (2019)
  10. Briceño-Arias, Luis M.; Chierchia, Giovanni; Chouzenoux, Emilie; Pesquet, Jean-Christophe: A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression (2019)
  11. Chen, Wen-gu; Li, Peng: Truncated sparse approximation property and truncated (q)-norm minimization (2019)
  12. Chouzenoux, Emilie; Lau, Tim Tsz-Kit; Lefort, Claire; Pesquet, Jean-Christophe: Optimal multivariate Gaussian fitting with applications to PSF modeling in two-photon microscopy imaging (2019)
  13. Debarnot, Valentin; Kahn, Jonas; Weiss, Pierre: Multiview attenuation estimation and correction (2019)
  14. Delon, Julie; Desolneux, Agnès; Sutour, Camille; Viano, Agathe: RNLp: mixing nonlocal and TV-Lp methods to remove impulse noise from images (2019)
  15. Deng, Zhao; Liu, Sanyang: An indefinite proximal Peaceman-Rachford splitting method with substitution procedure for convex programming (2019)
  16. Ding, Meng; Huang, Ting-Zhu; Wang, Si; Mei, Jin-Jin; Zhao, Xi-Le: Total variation with overlapping group sparsity for deblurring images under Cauchy noise (2019)
  17. Eskandani, G. Zamani; Raeisi, M.: On the zero point problem of monotone operators in Hadamard spaces (2019)
  18. Fort, Gersende; Ollier, Edouard; Samson, Adeline: Stochastic proximal-gradient algorithms for penalized mixed models (2019)
  19. Guillon, Arthur; Lesot, Marie-Jeanne; Marsala, Christophe: A proximal framework for fuzzy subspace clustering (2019)
  20. Iiduka, H.: Two stochastic optimization algorithms for convex optimization with fixed point constraints (2019)

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