References in zbMATH (referenced in 158 articles )

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  1. Abbas, M.; Alshahrani, M.; Ansari, Q. H.; Iyiola, O. S.; Shehu, Y.: Iterative methods for solving proximal split minimization problems (2018)
  2. Ahookhosh, Masoud; Neumaier, Arnold: Solving structured nonsmooth convex optimization with complexity $\mathcal O(\varepsilon ^-1/2)$ (2018)
  3. Attouch, Hédy; Peypouquet, Juan; Redont, Patrick: Backward-forward algorithms for structured monotone inclusions in Hilbert spaces (2018)
  4. Bekhti, Yousra; Lucka, Felix; Salmon, Joseph; Gramfort, Alexandre: A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging (2018)
  5. Boulanger, Jér^ome; Pustelnik, Nelly; Condat, Laurent; Sengmanivong, Lucie; Piolot, Tristan: Nonsmooth convex optimization for structured illumination microscopy image reconstruction (2018)
  6. Chizat, Lénaïc; Peyré, Gabriel; Schmitzer, Bernhard; Vialard, François-Xavier: An interpolating distance between optimal transport and Fisher-Rao metrics (2018)
  7. Combettes, Patrick L.: Monotone operator theory in convex optimization (2018)
  8. Combettes, Patrick L.; Müller, Christian L.: Perspective functions: proximal calculus and applications in high-dimensional statistics (2018)
  9. Escande, Paul; Weiss, Pierre: Accelerating $\ell^1$-$\ell^2$ deblurring using wavelet expansions of operators (2018)
  10. Frikel, Jürgen; Haltmeier, Markus: Efficient regularization with wavelet sparsity constraints in photoacoustic tomography (2018)
  11. Garrigos, Guillaume; Rosasco, Lorenzo; Villa, Silvia: Iterative regularization via dual diagonal descent (2018)
  12. Huang, Jian; Jiao, Yuling; Lu, Xiliang; Zhu, Liping: Robust decoding from 1-bit compressive sampling with ordinary and regularized least squares (2018)
  13. Kim, Donghwan; Fessler, Jeffrey A.: Adaptive restart of the optimized gradient method for convex optimization (2018)
  14. Kim, Donghwan; Fessler, Jeffrey A.: Another look at the fast iterative shrinkage/thresholding algorithm (FISTA) (2018)
  15. Lerkchaiyaphum, Kritsada; Phuengrattana, Withun: Iterative approaches to solving convex minimization problems and fixed point problems in complete CAT(0) spaces (2018)
  16. Malitsky, Yu: Proximal extrapolated gradient methods for variational inequalities (2018)
  17. Nguyen, Trong Phong; Pauwels, Edouard; Richard, Emile; Suter, Bruce W.: Extragradient method in optimization: convergence and complexity (2018)
  18. Pakkaranang, Nuttapol; Kumam, Poom; Cho, Yeol Je: Proximal point algorithms for solving convex minimization problem and common fixed points problem of asymptotically quasi-nonexpansive mappings in CAT(0) spaces with convergence analysis (2018)
  19. Phuengrattana, Withun; Onjai-uea, Nawitcha; Cholamjiak, Prasit: Modified proximal point algorithms for solving constrained minimization and fixed point problems in complete CAT(0) spaces (2018)
  20. Taylor, Adrien B.; Hendrickx, Julien M.; Glineur, François: Exact worst-case convergence rates of the proximal gradient method for composite convex minimization (2018)

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