
LINPACK
 Referenced in 525 articles
[sw04209]
 package computes the QR and singular value decompositions of rectangular matrices and applies them...

EISPACK
 Referenced in 490 articles
[sw04208]
 routines are included that use singular value decomposition to solve certain leastsquares problems. EISPACK...

SLEPc
 Referenced in 201 articles
[sw00875]
 other related problems such as the singular value decomposition or the quadratic eigenvalue problem...

PROPACK
 Referenced in 113 articles
[sw04019]
 functions for computing the singular value decomposition of large and sparse or structured matrices...

impute
 Referenced in 104 articles
[sw14376]
 implemented and evaluated three methods: a Singular Value Decomposition (SVD) based method (SVDimpute), weighted...

Tensorlab
 Referenced in 77 articles
[sw14255]
 decompositions: canonical polyadic decomposition (CPD), multilinear singular value decomposition (MLSVD), block term decompositions...

NAPACK
 Referenced in 71 articles
[sw11666]
 minimization, to compute eigenvalues, eigenvectors, the singular value decomposition, or the QR decomposition. The package...

svdpack
 Referenced in 61 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 rightsingular...

Chebfun2
 Referenced in 41 articles
[sw12708]
 some relevant issues as global optimization, singular value decomposition, root finding, and vector calculus...

LSRN
 Referenced in 27 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...

corpor
 Referenced in 24 articles
[sw09381]
 Furthermore, functions are available for fast singular value decomposition, for computing the pseudoinverse...

UTV
 Referenced in 272 articles
[sw05213]
 expand the algorithms for the ULLV decomposition of a matrix pair to handle interferencetype ... able to capture all the dominant singular values of a sparse or structured matrix. These...

rsvd
 Referenced in 10 articles
[sw16104]
 package rsvd. Randomized singular value decomposition (rsvd) is a very fast probabilistic algorithm that ... compute the near optimal lowrank singular value decomposition of massive data sets with high ... Randomized PCA (rpca) uses the approximated singular value decomposition to compute the most significant principal...

CULA
 Referenced in 11 articles
[sw12745]
 results from factorizations such as LU decomposition, singular value decomposition and QR decomposition along with...

corpcor
 Referenced in 15 articles
[sw10199]
 Furthermore, functions are available for fast singular value decomposition, for computing the pseudoinverse...

Algorithm 844
 Referenced in 18 articles
[sw04407]
 approximations based on traditional decompositions, like the singular value and QR decompositions...

FaIMS
 Referenced in 9 articles
[sw06425]
 algorithm to compute an approximate singular value decomposition (SVD) of leastsquares operators related ... medium perturbation, a dense singular value decomposition of the Born operator requires...

TKPSVD
 Referenced in 12 articles
[sw28028]
 propose the tensor Kronecker product singular value decomposition (TKPSVD) that decomposes a real...

irlba
 Referenced in 8 articles
[sw21041]
 package irlba: Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense ... memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse...

SOFAR
 Referenced in 8 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...