• SOFAR

  • Referenced in 7 articles [sw31665]
  • factor regression (SOFAR) via the sparse singular value decomposition with orthogonality constrained optimization to learn ... tasks, such as biclustering with sparse singular value decomposition, sparse principal component analysis, sparse factor...
  • Algorithm 971

  • Referenced in 10 articles [sw22686]
  • analysis and the calculation of truncated singular value decompositions. The present article presents an essentially ... superior for calculating the least singular values and corresponding singular vectors (or singular subspaces...
  • RSVDPACK

  • Referenced in 6 articles [sw13832]
  • RSVDPACK: subroutines for computing partial singular value decompositions via randomized sampling on single core, multi ... randomized algorithms for computing partial Singular Value Decompositions (SVDs). The techniques largely follow the prescriptions...
  • SVDMAN

  • Referenced in 8 articles [sw35896]
  • SVDMAN - singular value decomposition analysis of microarray data. .. Algorithms for the grouping method...
  • DIFFRAC

  • Referenced in 5 articles [sw23902]
  • through a sequence of lower dimensional singular value decompositions. This framework has several attractive properties...
  • Newmat

  • Referenced in 4 articles [sw05368]
  • submatrix, determinant, Cholesky decomposition, QR triangularisation, singular value decomposition, eigenvalues of a symmetric matrix, sorting...
  • ID

  • Referenced in 4 articles [sw14543]
  • forms of interpolative decompositions (IDs) and singular value decompositions (SVDs). The routines use algorithms based...
  • randUTV

  • Referenced in 4 articles [sw30518]
  • alternative to algorithms for computing the Singular Value Decomposition (SVD). randUTV provides accuracy very close ... produces highly accurate approximations to the singular values of A. Unlike the SVD, the randomized...
  • lsa

  • Referenced in 4 articles [sw19469]
  • derived statistically via a truncated singular value decomposition (a two-mode factor analysis) over...
  • tthresh

  • Referenced in 4 articles [sw27855]
  • grids. It leverages the higher-order singular value decomposition (HOSVD), a generalization...
  • PICKY

  • Referenced in 4 articles [sw35293]
  • estimation, component forming and sub-division, singular value decomposition (SVD)-based peak picking and peak...
  • SVDComplexes

  • Referenced in 2 articles [sw27129]
  • implements the algorithms in the paper ”Singular value decomposition of complexes”, by D. Brake ... Stillman, https://arxiv.org/abs/1804.09838. Singular value decompositions of matrices are extremely useful in practice ... paper, we extend the notion of singular value decomposition from matrices over the reals...
  • ExPosition

  • Referenced in 2 articles [sw22023]
  • package ExPosition: Exploratory analysis with the singular value decomposition. ExPosition is for descriptive (i.e., fixed ... effects) multivariate analysis with the singular value decomposition...
  • TuckerMPI

  • Referenced in 3 articles [sw27856]
  • higher-order analogue to the truncated singular value decomposition of a matrix. The result...
  • 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...
  • BDSVDX

  • Referenced in 3 articles [sw35942]
  • associated tridiagonal eigenproblem. The Singular Value Decomposition (SVD) is widely used in numerical analysis ... computation of only a subset of singular values and corresponding vectors, with potential performance gains...
  • Algorithm 977

  • Referenced in 3 articles [sw25562]
  • software for computing the singular value decomposition (SVD) of real or complex matrices is proposed...
  • SmallK

  • Referenced in 3 articles [sw21816]
  • been as significant as the singular value decomposition (SVD). However, due to nonnegativity constraints...
  • SAM II

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

  • Referenced in 3 articles [sw29475]
  • Monte Carlo techniques). Other functions perform singular value decomposition of covariance matrices and canonical correlation...