
LINPACK
 Referenced in 405 articles
[sw04209]
 package computes the QR and singular value decompositions of rectangular matrices and applies them...

EISPACK
 Referenced in 351 articles
[sw04208]
 routines are included that use singular value decomposition to solve certain leastsquares problems. EISPACK...

SLEPc
 Referenced in 78 articles
[sw00875]
 other related problems such as the singular value decomposition or the quadratic eigenvalue problem...

PROPACK
 Referenced in 66 articles
[sw04019]
 functions for computing the singular value decomposition of large and sparse or structured matrices...

NAPACK
 Referenced in 59 articles
[sw11666]
 minimization, to compute eigenvalues, eigenvectors, the singular value decomposition, or the QR decomposition. The package...

svdpack
 Referenced in 54 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...

impute
 Referenced in 55 articles
[sw14376]
 implemented and evaluated three methods: a Singular Value Decomposition (SVD) based method (SVDimpute), weighted...

Tensorlab
 Referenced in 13 articles
[sw14255]
 decompositions: canonical polyadic decomposition (CPD), multilinear singular value decomposition (MLSVD), block term decompositions...

Chebfun2
 Referenced in 15 articles
[sw12708]
 some relevant issues as global optimization, singular value decomposition, root finding, and vector calculus...

corpor
 Referenced in 12 articles
[sw09381]
 Furthermore, functions are available for fast singular value decomposition, for computing the pseudoinverse...

Algorithm 844
 Referenced in 15 articles
[sw04407]
 approximations based on traditional decompositions, like the singular value and QR decompositions...

LSRN
 Referenced in 10 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...

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...

UTV
 Referenced in 128 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...

CULA
 Referenced in 5 articles
[sw12745]
 results from factorizations such as LU decomposition, singular value decomposition and QR decomposition along with...

FaIMS
 Referenced in 4 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...

Newmat
 Referenced in 3 articles
[sw05368]
 submatrix, determinant, Cholesky decomposition, QR triangularisation, singular value decomposition, eigenvalues of a symmetric matrix, sorting...

ID
 Referenced in 3 articles
[sw14543]
 forms of interpolative decompositions (IDs) and singular value decompositions (SVDs). The routines use algorithms based...

RSVDPACK
 Referenced in 2 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...

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...