• ParaSails

  • Referenced in 28 articles [sw11521]
  • ParaSails is a parallel sparse approximate inverse preconditioner for the iterative solution of large, sparse ... Frobenius norm) minimization to compute a sparse approximate inverse. The sparsity pattern used...
  • BFSAI-IC

  • Referenced in 27 articles [sw12938]
  • matrices. It combines a generalized factored sparse approximate inverse (FSAI) with an incomplete...
  • QUIC

  • Referenced in 27 articles [sw11795]
  • QUIC: quadratic approximation for sparse inverse covariance estimation. The ℓ 1 -regularized Gaussian maximum likelihood ... strong statistical guarantees in recovering a sparse inverse covariance matrix, or alternatively the underlying graph ... quadratic approximation, but with some modifications that leverage the structure of the sparse Gaussian...
  • FSAIPACK

  • Referenced in 14 articles [sw14000]
  • high performance FSAI preconditioning. The Factorized Sparse Approximate Inverse (FSAI) is an efficient technique ... preconditioning parallel solvers of symmetric positive definite sparse linear systems. The key factor controlling FSAI...
  • Exa-Dune

  • Referenced in 12 articles [sw32962]
  • numerical methods have included GPU-based sparse approximate inverses, matrix-free sum-factorisation for high...
  • FE-gMG

  • Referenced in 8 articles [sw10365]
  • solvers with strong smoothers based on sparse approximate inverses. We describe our FE-gMG solver ... oriented implementation technique based on cascades of sparse matrix-vector multiplication by applying ... strong smoothers. In particular, we employ Sparse Approximate Inverse (SPAI) and Stabilised Approximate Inverse (SAINV...
  • MSPAI

  • Referenced in 10 articles [sw11522]
  • efficient implementation of the Modified SParse Approximate Inverse (MSPAI) preconditioner. MSPAI generalizes the class ... numerical parts as the code switches to sparse QR decomposition methods wherever profitable. The optimized...
  • GenASPI

  • Referenced in 5 articles [sw19575]
  • Generic approximate sparse inverse matrix techniques. During the last decades explicit preconditioning methods have gained ... matrix. Herewith, we propose a Generic Approximate Sparse Inverse (GenASPI) matrix algorithm based ... Inverse (GenAbI), which is a banded approximate inverse used in conjunction with Conjugate Gradient type ... large sparse linear systems. The proposed GenASPI matrix algorithm, is based on Approximate Inverse Sparsity...
  • ADMiRA

  • Referenced in 31 articles [sw31664]
  • rank matrix posing the inverse problem as an approximation problem with a specified target rank ... minimum rank solution satisfying a prescribed data approximation bound. We propose an atomic decomposition providing ... analogy between parsimonious representations of a sparse vector and a low-rank matrix and extending...
  • ShearLab

  • Referenced in 53 articles [sw06721]
  • which have been proposed to deliver sparse approximations of such features is the utilization ... allowing exploitation of its adjoint for the inverse transform. This leads to a digital implementation...
  • FIDAP

  • Referenced in 37 articles [sw00006]
  • FIDAP (A Fluid Dynamics Analysis Program). This paper...
  • ADOL-C

  • Referenced in 244 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • AMD

  • Referenced in 57 articles [sw00039]
  • Algorithm 837: AMD is a set of routines...
  • ANSYS

  • Referenced in 677 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ARMS

  • Referenced in 65 articles [sw00048]
  • ARMS: an algebraic recursive multilevel solver for general...
  • ATLAS

  • Referenced in 197 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • BARON

  • Referenced in 331 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • Bi-CG

  • Referenced in 34 articles [sw00076]
  • Bi-CG: An effective solver for three fields...