TFOCS

TFOCS: Templates for First-Order Conic Solvers. TFOCS (pronounced tee-fox) provides a set of Matlab templates, or building blocks, that can be used to construct efficient, customized solvers for a variety of convex models, including in particular those employed in sparse recovery applications. It was conceived and written by Stephen Becker, Emmanuel J. Candès and Michael Grant.


References in zbMATH (referenced in 60 articles , 1 standard article )

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  1. Byrd, Richard H.; Nocedal, Jorge; Oztoprak, Figen: An inexact successive quadratic approximation method for L-1 regularized optimization (2016)
  2. Fountoulakis, Kimon; Gondzio, Jacek: A second-order method for strongly convex $\ell _1$-regularization problems (2016)
  3. Fountoulakis, Kimon; Gondzio, Jacek: Performance of first- and second-order methods for $\ell_1$-regularized least squares problems (2016)
  4. Friedlander, Michael P.; Mac^edo, Ives: Low-rank spectral optimization via gauge duality (2016)
  5. Iwen, Mark A.; Viswanathan, Aditya; Wang, Yang: Fast phase retrieval from local correlation measurements (2016)
  6. Lessard, Laurent; Recht, Benjamin; Packard, Andrew: Analysis and design of optimization algorithms via integral quadratic constraints (2016)
  7. Morgenshtern, Veniamin I.; Candès, Emmanuel J.: Super-resolution of positive sources: the discrete setup (2016)
  8. Neumaier, Arnold: OSGA: a fast subgradient algorithm with optimal complexity (2016)
  9. O’Donoghue, Brendan; Chu, Eric; Parikh, Neal; Boyd, Stephen: Conic optimization via operator splitting and homogeneous self-dual embedding (2016)
  10. Boche, Holger; Calderbank, Robert; Kutyniok, Gitta; Vybíral, Jan: A survey of compressed sensing (2015)
  11. Candès, Emmanuel J.; Eldar, Yonina C.; Strohmer, Thomas; Voroninski, Vladislav: Phase retrieval via matrix completion (2015)
  12. Candès, Emmanuel J.; Li, Xiaodong; Soltanolkotabi, Mahdi: Phase retrieval from coded diffraction patterns (2015)
  13. Chaudhury, K.N.; Khoo, Y.; Singer, A.: Global registration of multiple point clouds using semidefinite programming (2015)
  14. Dassios, Ioannis; Fountoulakis, Kimon; Gondzio, Jacek: A preconditioner for a primal-dual Newton conjugate gradient method for compressed sensing problems (2015)
  15. He, Hongjin; Cai, Xingju; Han, Deren: A fast splitting method tailored for Dantzig selector (2015)
  16. O’Donoghue, Brendan; Candès, Emmanuel: Adaptive restart for accelerated gradient schemes (2015)
  17. Pohl, Volker; Yang, Fanny; Boche, Holger: Phase retrieval from low-rate samples (2015)
  18. Quoc, Tran-Dinh; Kyrillidis, Anastasios; Cevher, Volkan: Composite self-concordant minimization (2015)
  19. Vlassis, Nikos; Glaab, Enrico: GenePEN: analysis of network activity alterations in complex diseases via the pairwise elastic net (2015)
  20. Waldspurger, Irène; d’Aspremont, Alexandre; Mallat, Stéphane: Phase recovery, MaxCut and complex semidefinite programming (2015)

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