References in zbMATH (referenced in 86 articles )

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  1. Kueng, Richard; Rauhut, Holger; Terstiege, Ulrich: Low rank matrix recovery from rank one measurements (2017)
  2. Zhao, Na; Yang, Qingzhi; Liu, Yajun: Computing the generalized eigenvalues of weakly symmetric tensors (2017)
  3. 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)
  4. Bauschke, Heinz H.; Koch, Valentin R.; Phan, Hung M.: Stadium norm and Douglas-Rachford splitting: a new approach to road design optimization (2016)
  5. Bolte, Jér^ome; Pauwels, Edouard: Majorization-minimization procedures and convergence of SQP methods for semi-algebraic and tame programs (2016)
  6. Bonettini, S.; Loris, I.; Porta, F.; Prato, M.: Variable metric inexact line-search-based methods for nonsmooth optimization (2016)
  7. Bonettini, S.; Porta, F.; Ruggiero, V.: A variable metric forward-backward method with extrapolation (2016)
  8. Censor, Yair; Mansour, Rafiq: New Douglas-Rachford algorithmic structures and their convergence analyses (2016)
  9. Chouzenoux, Emilie; Pesquet, Jean-Christophe; Repetti, Audrey: A block coordinate variable metric forward-backward algorithm (2016)
  10. de Oliveira, Rafael Massambone; Helou, Elias Salomão; Costa, Eduardo Fontoura: String-averaging incremental subgradients for constrained convex optimization with applications to reconstruction of tomographic images (2016)
  11. Hager, William W.; Zhang, Hongchao: Projection onto a polyhedron that exploits sparsity (2016)
  12. He, Hongjin; Han, Deren: A distributed Douglas-Rachford splitting method for multi-block convex minimization problems (2016)
  13. He, Hongjin; Ling, Chen; Xu, Hong-Kun: An implementable splitting algorithm for the $\ell_1$-norm regularized split feasibility problem (2016)
  14. Iiduka, Hideaki: Convergence analysis of iterative methods for nonsmooth convex optimization over fixed point sets of quasi-nonexpansive mappings (2016)
  15. Iiduka, Hideaki: Proximal point algorithms for nonsmooth convex optimization with fixed point constraints (2016)
  16. Lai, Rongjie; Lu, Jianfeng: Localized density matrix minimization and linear-scaling algorithms (2016)
  17. Mcdonald, Andrew M.; Pontil, Massimiliano; Stamos, Dimitris: New perspectives on $k$-support and cluster norms (2016)
  18. Métivier, L.; Brossier, R.; Mérigot, Q.; Oudet, E.; Virieux, J.: An optimal transport approach for seismic tomography: application to 3D full waveform inversion (2016)
  19. Niinimäki, Kati; Lassas, Matti; Hämäläinen, Keijo; Kallonen, Aki; Kolehmainen, Ville; Niemi, Esa; Siltanen, Samuli: Multiresolution parameter choice method for total variation regularized tomography (2016)
  20. O’Donoghue, Brendan; Chu, Eric; Parikh, Neal; Boyd, Stephen: Conic optimization via operator splitting and homogeneous self-dual embedding (2016)

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