• SPGL1

  • Referenced in 196 articles [sw08365]
  • SPGL1: A solver for large-scale sparse reconstruction: Probing the Pareto frontier for basis pursuit ... BPDN) fits the least-squares problem only approximately, and a single parameter determines a curve...
  • SpAMM

  • Referenced in 7 articles [sw12769]
  • optimized sparse approximate matrix multiply for matrices with decay. We present an optimized single-precision ... implementation of the sparse approximate matrix multiply (SpAMM) [M. Challacombe and N. Bock, “Fast multiplication...
  • COLAMD

  • Referenced in 32 articles [sw00145]
  • SYMAMD, that compute approximate minimum degree orderings for sparse matrices in two contexts: (1) sparse...
  • Sparse Grid Interpolation

  • Referenced in 34 articles [sw13561]
  • Sparse Grid Interpolation Toolbox is a Matlab toolbox for recovering (approximating) expensive, possibly high-dimensional...
  • GenASPI

  • Referenced in 5 articles [sw19575]
  • Generic approximate sparse inverse matrix techniques. During the last decades explicit preconditioning methods have gained ... their efficiency for solving large sparse linear systems in conjunction with Krylov subspace iterative methods ... matrix. Herewith, we propose a Generic Approximate Sparse Inverse (GenASPI) matrix algorithm based ... large sparse linear systems. The proposed GenASPI matrix algorithm, is based on Approximate Inverse Sparsity...
  • hdm

  • Referenced in 7 articles [sw21313]
  • provided which appear in high-dimensional approximately sparse models. Including functions for fitting heteroscedastic robust...
  • TMB

  • Referenced in 25 articles [sw16279]
  • Eigen (templated matrix-vector library) and CHOLMOD (sparse matrix routines available from R) to obtain ... applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through BLAS...
  • SingularIntegralEquations

  • Referenced in 10 articles [sw22771]
  • accomplished by utilizing low rank approximations for sparse representations of the bivariate kernels. The resulting...
  • DESPOT

  • Referenced in 6 articles [sw27455]
  • Sparse Partially Observable Tree (DESPOT), a sparse approximation of the standard belief tree, for online...
  • Tensorlab

  • Referenced in 77 articles [sw14255]
  • with structured factors and support for dense, sparse and incomplete data sets, tensor decompositions: canonical ... term decompositions (BTD) and low multilinear rank approximation (LMLRA), complex optimization: quasi-Newton and nonlinear...
  • TNPACK

  • Referenced in 42 articles [sw00970]
  • approximately the Newton equations. The preconditioner M is factored in PCG using a sparse modified...
  • DSPCA

  • Referenced in 35 articles [sw04804]
  • examine the problem of approximating, in the Frobenius-norm sense, a positive, semidefinite symmetric matrix ... decomposition of a covariance matrix into sparse factors, and has wide applications ranging from biology...
  • SpaRSA

  • Referenced in 3 articles [sw20467]
  • Sparse Reconstruction by Separable Approximation. Finding sparse approximate solutions to large underdetermined linear systems...
  • KLU

  • Referenced in 15 articles [sw06365]
  • software package for solving sparse unsymmetric linear systems of equations that arise in circuit simulation ... ordering (variants of approximate minimum degree and nested dissection), and Gilbert/Peierls’ sparse left-looking...
  • PPROJ

  • Referenced in 9 articles [sw21258]
  • paper exploit sparsity. Sparse reconstruction by separable approximation (SpaRSA) is used to approximately identify active...
  • SPARSE-QR

  • Referenced in 17 articles [sw05215]
  • routine for sparse QR factorization. Sparse linear least squares problems are instead solved ... approximated by a simple heuristic. We describe a multifrontal method for sparse QR factorization...
  • MFclass

  • Referenced in 2 articles [sw34570]
  • advantage of lower fidelity models and inexpensive approximations to predict the binary output of expensive ... learning strategies. We also introduce a sparse approximation to enhance the ability of the multi...
  • vbmp

  • Referenced in 2 articles [sw35354]
  • membership posterior probability employing variational and sparse approximation to the full posterior. This software also...
  • GaussianProcesses.jl

  • Referenced in 2 articles [sw42274]
  • data (e.g., binary classification models) and sparse approximations for scalable Gaussian processes. The package makes...
  • Graphs

  • Referenced in 109 articles [sw12277]
  • networks. We consider the point-to-point (approximate) shortest-path query problem, which ... theoretical computer scientists analyze distance oracles and sparse spanners. Related problems are considered for compact...