
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 Knearest neighbors...

softImpute
 Referenced in 71 articles
[sw12263]
 softImpute: Matrix Completion via Iterative SoftThresholded 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, 157165 (1995; Zbl 826.65032)], respectively. We highlight usage...

PRIMME_SVDS
 Referenced in 10 articles
[sw15812]
 PRIMME_SVDS: A HighPerformance Preconditioned SVD Solver for Accurate LargeScale 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 leastsquares 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 StateofArt 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 lowrank approximation, solving illconditioned 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 nonidentity 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 QRpreconditioned 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...

KSVDBox
 Referenced in 3 articles
[sw25551]
 KSVDBox v13 Implementation of the KSVD and Approximate KSVD dictionary training algorithms ... SVD Denoising algorithm [ref]. Requires OMPBox v10. KSVDSBox v11 Implementation of the sparse ... SVD dictionary training algorithm and the sparse KSVD Denoising algorithm [ref]. Requires OMPS...