
LAPACK
 Referenced in 1713 articles
[sw00503]
 equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky...

UTV
 Referenced in 272 articles
[sw05213]
 type problems with a rankdeficient covariance matrix, and we provide a robust and reliable ... dominant singular values of a sparse or structured matrix. These new algorithms have applications...

OptShrink
 Referenced in 20 articles
[sw33657]
 rank signal matrix denoising by optimal, datadriven singular value shrinkage. OptShrink is a simple ... matrix buried in noise. It takes as its input the signalplusnoise matrix ... improved signal matrix estimate. It computes this estimate by shrinking the singular values corresponding ... will always do better than singular value thresholding...

Multilinear Engine
 Referenced in 34 articles
[sw14430]
 determined by inspecting the singular values of the Jacobian matrix. A global solution...

NAPACK
 Referenced in 71 articles
[sw11666]
 matrix by a vector, to invert a matrix, to solve least squares problems, to perform ... minimization, to compute eigenvalues, eigenvectors, the singular value decomposition, or the QR decomposition. The package...

corpor
 Referenced in 24 articles
[sw09381]
 shrinkage correlation matrix. Furthermore, functions are available for fast singular value decomposition, for computing ... rank and positive definiteness of a matrix...

DLASQ
 Referenced in 6 articles
[sw08636]
 Superquadratic convergence of DLASQ for computing matrix singular values. DLASQ is a routine in LAPACK ... computing the singular values of a real upper bidiagonal matrix with high accuracy. The basic ... most efficient routines for computing singular values. In this paper, we prove the asymptotic superquadratic...

hapod
 Referenced in 14 articles
[sw40605]
 left singular vectors, and singular values of a matrix) hierarchically for (columnwise partitioned) large...

Tensorlab
 Referenced in 77 articles
[sw14255]
 structured data fusion: define your own (coupled) matrix and tensor factorizations with structured factors ... decompositions: canonical polyadic decomposition (CPD), multilinear singular value decomposition (MLSVD), block term decompositions...

na26
 Referenced in 25 articles
[sw11493]
 smallest singular values and associated singular vectors of a large matrix arises in many applications...

corpcor
 Referenced in 15 articles
[sw10199]
 shrinkage correlation matrix. Furthermore, functions are available for fast singular value decomposition, for computing ... rank and positive definiteness of a matrix...

denoiseR
 Referenced in 8 articles
[sw17854]
 data using singular values thresholding and shrinking functions. Impute missing values with matrix completion...

Optspace
 Referenced in 8 articles
[sw12630]
 problem of reconstructing a lowrank matrix from a small subset of its entries ... singular value decomposition followed by local manifold optimization, for solving the lowrank matrix completion ... output of singular value decomposition gives a good estimate for the original matrix, so that...

irbleigs
 Referenced in 19 articles
[sw00451]
 accessed only through the evaluation of matrixvector products. Working space of only ... singular values and associated right and left singular vectors of a large general matrix...

Algorithm 844
 Referenced in 18 articles
[sw04407]
 sparse matrix A. Unfortunately, the approximations based on traditional decompositions, like the singular value...

impute
 Referenced in 104 articles
[sw14376]
 expression analysis require a complete matrix of gene array values as input. For example, methods ... lose effectiveness even with a few missing values. Methods for imputing missing data are needed ... missing values in gene microarray data. We implemented and evaluated three methods: a Singular Value...

OEIG
 Referenced in 4 articles
[sw07166]
 efficient algorithm for solving it. Usually, the matrix pencil {𝐀λ𝐁} does not have ... that locally minimize the smallest singular value over the matrix pencil {𝐀λ𝐁}. Practically...

RSpectra
 Referenced in 7 articles
[sw15409]
 eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues, which is usually ... largest k singular values and corresponding singular vectors of a real matrix. Matrices...

ARAP++
 Referenced in 4 articles
[sw36689]
 convex combination weights and a fitting Jacobian matrix corresponding to a prescribed family of transformations ... appropriately prescribing the singular values of the fitting matrix. To reduce the area and stretch...

svt
 Referenced in 1 article
[sw37232]
 Singular Value Thresholding in MATLAB. Many statistical learning methods such as matrix completion, matrix regression ... most timeconsuming step is singular value ... thresholding, which seeks the singular values of a large matrix exceeding a threshold and their ... sparse matrix input, while aforementioned statistical learning algorithms perform singular value thresholding on dense...