
LINPACK
 Referenced in 510 articles
[sw04209]
 package computes the QR and singular value decompositions of rectangular matrices and applies them...

EISPACK
 Referenced in 486 articles
[sw04208]
 routines are included that use singular value decomposition to solve certain leastsquares problems. EISPACK...

SLEPc
 Referenced in 144 articles
[sw00875]
 other related problems such as the singular value decomposition or the quadratic eigenvalue problem...

PROPACK
 Referenced in 96 articles
[sw04019]
 functions for computing the singular value decomposition of large and sparse or structured matrices...

impute
 Referenced in 91 articles
[sw14376]
 implemented and evaluated three methods: a Singular Value Decomposition (SVD) based method (SVDimpute), weighted...

NAPACK
 Referenced in 70 articles
[sw11666]
 minimization, to compute eigenvalues, eigenvectors, the singular value decomposition, or the QR decomposition. The package...

svdpack
 Referenced in 60 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...

Tensorlab
 Referenced in 44 articles
[sw14255]
 decompositions: canonical polyadic decomposition (CPD), multilinear singular value decomposition (MLSVD), block term decompositions...

Chebfun2
 Referenced in 29 articles
[sw12708]
 some relevant issues as global optimization, singular value decomposition, root finding, and vector calculus...

corpor
 Referenced in 21 articles
[sw09381]
 Furthermore, functions are available for fast singular value decomposition, for computing the pseudoinverse...

LSRN
 Referenced in 19 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...

CULA
 Referenced in 10 articles
[sw12745]
 results from factorizations such as LU decomposition, singular value decomposition and QR decomposition along with...

UTV
 Referenced in 219 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...

Algorithm 844
 Referenced in 17 articles
[sw04407]
 approximations based on traditional decompositions, like the singular value and QR decompositions...

irlba
 Referenced in 7 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...

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...

TKPSVD
 Referenced in 9 articles
[sw28028]
 propose the tensor Kronecker product singular value decomposition (TKPSVD) that decomposes a real...

corpcor
 Referenced in 9 articles
[sw10199]
 Furthermore, functions are available for fast singular value decomposition, for computing the pseudoinverse...

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...

rsvd
 Referenced in 5 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...