
SOFAR
 Referenced in 7 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...

Algorithm 971
 Referenced in 10 articles
[sw22686]
 analysis and the calculation of truncated singular value decompositions. The present article presents an essentially ... superior for calculating the least singular values and corresponding singular vectors (or singular subspaces...

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...

SVDMAN
 Referenced in 8 articles
[sw35896]
 SVDMAN  singular value decomposition analysis of microarray data. .. Algorithms for the grouping method...

DIFFRAC
 Referenced in 5 articles
[sw23902]
 through a sequence of lower dimensional singular value decompositions. This framework has several attractive properties...

Newmat
 Referenced in 4 articles
[sw05368]
 submatrix, determinant, Cholesky decomposition, QR triangularisation, singular value decomposition, eigenvalues of a symmetric matrix, sorting...

ID
 Referenced in 4 articles
[sw14543]
 forms of interpolative decompositions (IDs) and singular value decompositions (SVDs). The routines use algorithms based...

randUTV
 Referenced in 4 articles
[sw30518]
 alternative to algorithms for computing the Singular Value Decomposition (SVD). randUTV provides accuracy very close ... produces highly accurate approximations to the singular values of A. Unlike the SVD, the randomized...

lsa
 Referenced in 4 articles
[sw19469]
 derived statistically via a truncated singular value decomposition (a twomode factor analysis) over...

tthresh
 Referenced in 4 articles
[sw27855]
 grids. It leverages the higherorder singular value decomposition (HOSVD), a generalization...

PICKY
 Referenced in 4 articles
[sw35293]
 estimation, component forming and subdivision, singular value decomposition (SVD)based peak picking and peak...

SVDComplexes
 Referenced in 2 articles
[sw27129]
 implements the algorithms in the paper ”Singular value decomposition of complexes”, by D. Brake ... Stillman, https://arxiv.org/abs/1804.09838. Singular value decompositions of matrices are extremely useful in practice ... paper, we extend the notion of singular value decomposition from matrices over the reals...

ExPosition
 Referenced in 2 articles
[sw22023]
 package ExPosition: Exploratory analysis with the singular value decomposition. ExPosition is for descriptive (i.e., fixed ... effects) multivariate analysis with the singular value decomposition...

TuckerMPI
 Referenced in 3 articles
[sw27856]
 higherorder analogue to the truncated singular value decomposition of a matrix. The result...

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...

BDSVDX
 Referenced in 3 articles
[sw35942]
 associated tridiagonal eigenproblem. The Singular Value Decomposition (SVD) is widely used in numerical analysis ... computation of only a subset of singular values and corresponding vectors, with potential performance gains...

Algorithm 977
 Referenced in 3 articles
[sw25562]
 software for computing the singular value decomposition (SVD) of real or complex matrices is proposed...

SmallK
 Referenced in 3 articles
[sw21816]
 been as significant as the singular value decomposition (SVD). However, due to nonnegativity constraints...

SAM II
 Referenced in 3 articles
[sw14062]
 eigenvalue problems by using generalized singular value decomposition. In this program there are three steps...

PyClimate
 Referenced in 3 articles
[sw29475]
 Monte Carlo techniques). Other functions perform singular value decomposition of covariance matrices and canonical correlation...