• LAPACK

  • Referenced in 1671 articles [sw00503]
  • associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided...
  • Chebfun

  • Referenced in 381 articles [sw05897]
  • notions like the QR decomposition and the SVD, and solves ordinary differential equations. The mathematical...
  • PROPACK

  • Referenced in 109 articles [sw04019]
  • large and sparse or structured matrices. The SVD routines are based on the Lanczos bidiagonalization...
  • impute

  • Referenced in 100 articles [sw14376]
  • evaluated three methods: a Singular Value Decomposition (SVD) based method (SVDimpute), weighted K-nearest neighbors...
  • softImpute

  • Referenced in 71 articles [sw12263]
  • softImpute: Matrix Completion via Iterative Soft-Thresholded SVD. Iterative methods for matrix completion that...
  • svdpack

  • Referenced in 60 articles [sw04819]
  • methods for computing the singular value decomposition (SVD) of large sparse matrices using double precision...
  • OptShrink

  • Referenced in 16 articles [sw33657]
  • singular values corresponding to the Truncated SVD (TSVD) in the correct manner as given ... desirable. The algorithm outperforms the truncated SVD (TSVD) significantly in the low to moderate...
  • toms/782

  • Referenced in 22 articles [sw05211]
  • Tang} [SVD and signal processing III, 157--165 (1995; Zbl 826.65032)], respectively. We highlight usage...
  • PRIMME_SVDS

  • Referenced in 10 articles [sw15812]
  • PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations. The increasing ... rekindled interest in iterative methods for the SVD. Some promising recent ad- vances in large ... production level software for computing the partial SVD, especially with preconditioning. The numerical experiments demonstrate...
  • PHSVDS

  • Referenced in 11 articles [sw13690]
  • preconditioned hybrid SVD method for accurately computing singular triplets of large matrices. The computation ... problem. We propose a novel SVD approach that can take advantage of preconditioning...
  • tproduct

  • Referenced in 14 articles [sw34460]
  • extended to tensor cases, including tensor SVD (see an illustration in the figure below), tensor...
  • FaIMS

  • Referenced in 8 articles [sw06425]
  • compute an approximate singular value decomposition (SVD) of least-squares operators related to linearized inverse ... describe in this paper constructs an approximate SVD of the Born operator (the operator ... forward scattering problem. We propose an approximate SVD method that, under certain conditions, reduces these...
  • SVDMAN

  • Referenced in 8 articles [sw35896]
  • available in a software application called SVD Microarray ANalysis (SVDMAN). In addition to calculating ... SVD for generic analysis, SVDMAN provides a new means for using microarray data to develop ... confidence in the hypotheses, thus extending current SVD research in the area of global gene...
  • rsvd

  • Referenced in 7 articles [sw16104]
  • massive data sets with high accuracy. SVD plays a central role in data analysis ... scientific computing. SVD is also widely used for computing (randomized) principal component analysis...
  • svd

  • Referenced in 5 articles [sw20107]
  • package svd: Interfaces to Various State-of-Art SVD and Eigensolvers. R bindings ... SVD and eigensolvers (PROPACK, nuTRLan...
  • randUTV

  • Referenced in 4 articles [sw30518]
  • algorithms for computing the Singular Value Decomposition (SVD). randUTV provides accuracy very close to that ... SVD for problems such as low-rank approximation, solving ill-conditioned linear systems, and determining ... singular values of A. Unlike the SVD, the randomized algorithm proposed builds a UTV factorization ... accuracy and speed of randUTV to the SVD are presented. Other experiments also demonstrate that...
  • Colibri

  • Referenced in 8 articles [sw12043]
  • very sparse. However, standard decompositions such as SVD do not preserve sparsity. This...
  • PTAk

  • Referenced in 5 articles [sw24259]
  • order, as a generalisation of SVD also supporting non-identity metrics and penalisations ... SVD with these extensions is also available. The package includes also some other multiway methods...
  • Algorithm 977

  • Referenced in 3 articles [sw25562]
  • Algorithm 977: A QR-preconditioned QR SVD method for computing the SVD with high accuracy ... software for computing the singular value decomposition (SVD) of real or complex matrices is proposed ... code xGESVDQ is essentially the QR SVD algorithm available as xGESVD in LAPACK. The novelty ... combination of the QR factorization and an SVD computation routine is not new. However, what...
  • KSVD-Box

  • Referenced in 3 articles [sw25551]
  • KSVD-Box v13 Implementation of the K-SVD and Approximate K-SVD dictionary training algorithms ... SVD Denoising algorithm [ref]. Requires OMP-Box v10. KSVDS-Box v11 Implementation of the sparse ... SVD dictionary training algorithm and the sparse K-SVD Denoising algorithm [ref]. Requires OMPS...