• LINPACK

  • Referenced in 394 articles [sw04209]
  • package computes the QR and singular value decompositions of rectangular matrices and applies them...
  • EISPACK

  • Referenced in 348 articles [sw04208]
  • routines are included that use singular value decomposition to solve certain least-squares problems. EISPACK...
  • SLEPc

  • Referenced in 74 articles [sw00875]
  • other related problems such as the singular value decomposition or the quadratic eigenvalue problem...
  • PROPACK

  • Referenced in 64 articles [sw04019]
  • functions for computing the singular value decomposition of large and sparse or structured matrices...
  • NAPACK

  • Referenced in 59 articles [sw11666]
  • minimization, to compute eigenvalues, eigenvectors, the singular value decomposition, or the QR decomposition. The package...
  • svdpack

  • Referenced in 54 articles [sw04819]
  • numerical (iterative) methods for computing the singular value decomposition (SVD) of large sparse matrices using ... determining several of the largest singular triplets (singular values and corresponding left- and right-singular...
  • impute

  • Referenced in 54 articles [sw14376]
  • implemented and evaluated three methods: a Singular Value Decomposition (SVD) based method (SVDimpute), weighted...
  • Tensorlab

  • Referenced in 12 articles [sw14255]
  • decompositions: canonical polyadic decomposition (CPD), multilinear singular value decomposition (MLSVD), block term decompositions...
  • Chebfun2

  • Referenced in 13 articles [sw12708]
  • some relevant issues as global optimization, singular value decomposition, root finding, and vector calculus...
  • Algorithm 844

  • Referenced in 15 articles [sw04407]
  • approximations based on traditional decompositions, like the singular value and QR decompositions...
  • corpor

  • Referenced in 11 articles [sw09381]
  • Furthermore, functions are available for fast singular value decomposition, for computing the pseudoinverse...
  • LSRN

  • Referenced in 10 articles [sw09555]
  • which is embarrassingly parallel, and a singular value decomposition of size ⌈γmin ... strong concentration result on the extreme singular values, and hence that the number of iterations...
  • Optspace

  • Referenced in 7 articles [sw12630]
  • efficient algorithm called OptSpace, based on singular value decomposition followed by local manifold optimization ... large enough, the output of singular value decomposition gives a good estimate for the original...
  • UTV

  • Referenced in 123 articles [sw05213]
  • expand the algorithms for the ULLV decomposition of a matrix pair to handle interference-type ... able to capture all the dominant singular values of a sparse or structured matrix. These...
  • CULA

  • Referenced in 4 articles [sw12745]
  • results from factorizations such as LU decomposition, singular value decomposition and QR decomposition along with...
  • FaIMS

  • Referenced in 3 articles [sw06425]
  • algorithm to compute an approximate singular value decomposition (SVD) of least-squares operators related ... medium perturbation, a dense singular value decomposition of the Born operator requires...
  • Newmat

  • Referenced in 3 articles [sw05368]
  • submatrix, determinant, Cholesky decomposition, QR triangularisation, singular value decomposition, eigenvalues of a symmetric matrix, sorting...
  • ID

  • Referenced in 3 articles [sw14543]
  • forms of interpolative decompositions (IDs) and singular value decompositions (SVDs). The routines use algorithms based...
  • DGELSS

  • Referenced in 3 articles [sw05210]
  • norm(| b - A*x |). using the singular value decomposition ... determined by treating as zero those singular values which are less than RCOND times...
  • SAM II

  • Referenced in 3 articles [sw14062]
  • eigenvalue problems by using generalized singular value decomposition. In this program there are three steps...