References in zbMATH (referenced in 102 articles )

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  1. Bello Cruz, José Yunier: On proximal subgradient splitting method for minimizing the sum of two nonsmooth convex functions (2017)
  2. Binev, Peter; Cohen, Albert; Dahmen, Wolfgang; DeVore, Ronald; Petrova, Guergana; Wojtaszczyk, Przemyslaw: Data assimilation in reduced modeling (2017)
  3. de Morais Goulart, José Henrique; Favier, Gérard: Low-rank tensor recovery using sequentially optimal modal projections in iterative hard thresholding (SeMPIHT) (2017)
  4. Du, Yu; Lin, Xiaodong; Ruszczyński, Andrzej: A selective linearization method for multiblock convex optimization (2017)
  5. Hong, Mingyi; Wang, Xiangfeng; Razaviyayn, Meisam; Luo, Zhi-Quan: Iteration complexity analysis of block coordinate descent methods (2017)
  6. Karimi, Sahar; Vavasis, Stephen: IMRO: A proximal quasi-Newton method for solving $\ell_1$-regularized least squares problems (2017)
  7. Kueng, Richard; Rauhut, Holger; Terstiege, Ulrich: Low rank matrix recovery from rank one measurements (2017)
  8. Lanza, A.; Morigi, S.; Selesnick, I.; Sgallari, F.: Nonconvex nonsmooth optimization via convex-nonconvex majorization-minimization (2017)
  9. Latafat, Puya; Patrinos, Panagiotis: Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators (2017)
  10. Lenoir, Arnaud; Mahey, Philippe: A survey on operator splitting and decomposition of convex programs (2017)
  11. Pereyra, Marcelo: Maximum-a-posteriori estimation with Bayesian confidence regions (2017)
  12. Stella, Lorenzo; Themelis, Andreas; Patrinos, Panagiotis: Forward-backward quasi-Newton methods for nonsmooth optimization problems (2017)
  13. Tang, Yu Chao; Zhu, Chuan Xi; Wen, Meng; Peng, Ji Gen: A splitting primal-dual proximity algorithm for solving composite optimization problems (2017)
  14. Taylor, Adrien B.; Hendrickx, Julien M.; Glineur, François: Exact worst-case performance of first-order methods for composite convex optimization (2017)
  15. Tran-Dinh, Quoc: Adaptive smoothing algorithms for nonsmooth composite convex minimization (2017)
  16. Yamagishi, Masao; Yamada, Isao: Nonexpansiveness of a linearized augmented Lagrangian operator for hierarchical convex optimization (2017)
  17. Yun, Joo Dong; Yang, Seungjoon: ADMM in Krylov subspace and its application to total variation restoration of spatially variant blur (2017)
  18. Zhao, Na; Yang, Qingzhi; Liu, Yajun: Computing the generalized eigenvalues of weakly symmetric tensors (2017)
  19. Bauschke, Heinz H.; Bello Cruz, Yunier Y.; Nghia, Tran T.A.; Pha, Hung M.; Wang, Xianfu: Optimal rates of linear convergence of relaxed alternating projections and generalized Douglas-Rachford methods for two subspaces (2016)
  20. Bauschke, Heinz H.; Koch, Valentin R.; Phan, Hung M.: Stadium norm and Douglas-Rachford splitting: a new approach to road design optimization (2016)

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