• NESTA

  • Referenced in 116 articles [sw06576]
  • accurate first-order method for sparse recovery. Accurate signal recovery or image reconstruction from indirect...
  • TFOCS

  • Referenced in 115 articles [sw12839]
  • including in particular those employed in sparse recovery applications. It was conceived and written...
  • PhaseMax

  • Referenced in 14 articles [sw24954]
  • retrieval via basis pursuit. We consider the recovery of a (real- or complex-valued) signal ... performed using algorithms initially designed for sparse signal recovery. We develop sharp lower bounds...
  • ParNes

  • Referenced in 12 articles [sw08366]
  • rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals In this article...
  • IMRO

  • Referenced in 7 articles [sw20465]
  • problems arising in many applications including sparse recovery in compressive sensing, machine learning, and statistics...
  • l1_ls

  • Referenced in 9 articles [sw14267]
  • large dense problems, that arise in sparse signal recovery with orthogonal transforms, by exploiting fast...
  • GESPAR

  • Referenced in 24 articles [sw25722]
  • Retrieval of Sparse Signals. We consider the problem of phase retrieval, namely, recovery ... needed in order to enable its recovery. In this work we consider the case ... which the signal is known to be sparse, i.e., it consists of a small number...
  • GSCGcode

  • Referenced in 1 article [sw34756]
  • This repository includes MATLAB codes for sparse recovery...
  • SparsePR

  • Referenced in 12 articles [sw25721]
  • note we propose a simple two-stage sparse phase retrieval strategy that uses a near ... large number of new measurement constructions and recovery algorithms to be designed with minimal effort...
  • CGIST

  • Referenced in 1 article [sw26995]
  • paper High-Order Methods for Sparse Signal Recovery...
  • TARM

  • Referenced in 1 article [sw30728]
  • developed turbo compressed sensing algorithm for sparse signal recovery. We show that, for right-orthogonally...
  • HSL_MA79

  • Referenced in 3 articles [sw13930]
  • accuracy in the computed solutions. For sparse linear systems, the use of mixed precision ... recovery of high-precision solutions more quickly and use less memory than a sparse direct ... single precision within direct solvers for sparse symmetric linear systems, exploiting both the reduction ... number of solves required by the iterative recovery process. These experiments provide the basis...
  • C-HiLasso

  • Referenced in 4 articles [sw25234]
  • sparsity property of the Group Lasso, where sparse groups of features are jointly encoded, obtaining ... experimental examples and theoretical results regarding recovery guarantees...
  • Livarh

  • Referenced in 2 articles [sw31778]
  • sparse methods (based on sparsity pattern detection, coloring, compressed matrix evaluation, and recovery) in some...
  • Livarhacc

  • Referenced in 2 articles [sw31779]
  • sparse methods (based on sparsity pattern detection, coloring, compressed matrix evaluation, and recovery) in some...
  • SAFFRON

  • Referenced in 1 article [sw30727]
  • robust framework for group testing based on sparse-graph codes. Group testing is the problem ... recovery with order-optimal sample complexity by leveraging design and analysis tools from modern sparse...
  • revisiting_mp_conditions

  • Referenced in 2 articles [sw34864]
  • ahead markets. This helps describing the recovery of start-up costs of a power plant ... efficient way. An exact decomposition procedure with sparse strengthened Benders cuts derived from the MILP...
  • ANSYS

  • Referenced in 650 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • BoomerAMG

  • Referenced in 146 articles [sw00086]
  • BoomerAMG: A parallel algebraic multigrid solver and preconditioner...
  • CGAL

  • Referenced in 346 articles [sw00118]
  • The goal of the CGAL Open Source Project...