• NESTA

  • Referenced in 100 articles [sw06576]
  • accurate first-order method for sparse recovery. Accurate signal recovery or image reconstruction from indirect...
  • TFOCS

  • Referenced in 97 articles [sw12839]
  • including in particular those employed in sparse recovery applications. It was conceived and written...
  • ParNes

  • Referenced in 12 articles [sw08366]
  • rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals In this article...
  • l1_ls

  • Referenced in 8 articles [sw14267]
  • large dense problems, that arise in sparse signal recovery with orthogonal transforms, by exploiting fast...
  • GESPAR

  • Referenced in 17 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...
  • IMRO

  • Referenced in 3 articles [sw20465]
  • problems arising in many applications including sparse recovery in compressive sensing, machine learning, and statistics...
  • PhaseMax

  • Referenced in 4 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...
  • CGIST

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

  • Referenced in 6 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...
  • 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...
  • ANSYS

  • Referenced in 569 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • BoomerAMG

  • Referenced in 125 articles [sw00086]
  • BoomerAMG: A parallel algebraic multigrid solver and preconditioner...
  • CGAL

  • Referenced in 305 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • Diffpack

  • Referenced in 108 articles [sw00203]
  • As modern programming methodologies migrate from computer science...
  • Gmsh

  • Referenced in 371 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • ITPACK

  • Referenced in 34 articles [sw00459]
  • The ITPACK project: Past, present, and future The...
  • LAPACK

  • Referenced in 1503 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • LSQR

  • Referenced in 304 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...