References in zbMATH (referenced in 124 articles )

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  1. Attouch, Hédy; Peypouquet, Juan; Redont, Patrick: Backward-forward algorithms for structured monotone inclusions in Hilbert spaces (2018)
  2. Combettes, Patrick L.; Müller, Christian L.: Perspective functions: proximal calculus and applications in high-dimensional statistics (2018)
  3. Aravkin, Aleksandr; Burke, James V.; Ljung, Lennart; Lozano, Aurelie; Pillonetto, Gianluigi: Generalized Kalman smoothing: modeling and algorithms (2017)
  4. Bačák, Miroslav; Montag, Martin; Steidl, Gabriele: Convergence of functions and their Moreau envelopes on Hadamard spaces (2017)
  5. Bello Cruz, José Yunier: On proximal subgradient splitting method for minimizing the sum of two nonsmooth convex functions (2017)
  6. Binev, Peter; Cohen, Albert; Dahmen, Wolfgang; DeVore, Ronald; Petrova, Guergana; Wojtaszczyk, Przemyslaw: Data assimilation in reduced modeling (2017)
  7. Bolte, Jér^ome; Nguyen, Trong Phong; Peypouquet, Juan; Suter, Bruce W.: From error bounds to the complexity of first-order descent methods for convex functions (2017)
  8. Dai, Yu-Hong; Han, Deren; Yuan, Xiaoming; Zhang, Wenxing: A sequential updating scheme of the Lagrange multiplier for separable convex programming (2017)
  9. de Morais Goulart, José Henrique; Favier, Gérard: Low-rank tensor recovery using sequentially optimal modal projections in iterative hard thresholding (SeMPIHT) (2017)
  10. Du, Yu; Lin, Xiaodong; Ruszczyński, Andrzej: A selective linearization method for multiblock convex optimization (2017)
  11. Giselsson, Pontus: Tight global linear convergence rate bounds for Douglas-Rachford splitting (2017)
  12. Hong, Mingyi; Wang, Xiangfeng; Razaviyayn, Meisam; Luo, Zhi-Quan: Iteration complexity analysis of block coordinate descent methods (2017)
  13. Johnstone, Patrick R.; Moulin, Pierre: Local and global convergence of a general inertial proximal splitting scheme for minimizing composite functions (2017)
  14. Karimi, Sahar; Vavasis, Stephen: IMRO: A proximal quasi-Newton method for solving $\ell_1$-regularized least squares problems (2017)
  15. Kueng, Richard; Rauhut, Holger; Terstiege, Ulrich: Low rank matrix recovery from rank one measurements (2017)
  16. Lanza, A.; Morigi, S.; Selesnick, I.; Sgallari, F.: Nonconvex nonsmooth optimization via convex-nonconvex majorization-minimization (2017)
  17. Latafat, Puya; Patrinos, Panagiotis: Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators (2017)
  18. Lenoir, Arnaud; Mahey, Philippe: A survey on operator splitting and decomposition of convex programs (2017)
  19. Mahey, Philippe; Koko, Jonas; Lenoir, Arnaud: Decomposition methods for a spatial model for long-term energy pricing problem (2017)
  20. Mirone, A.; Paleo, Pierre: A conjugate subgradient algorithm with adaptive preconditioning for the least absolute shrinkage and selection operator minimization (2017)

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