
EISPACK
 Referenced in 486 articles
[sw04208]
 generalized real symmetric matices. In addition, two routines are included that use singular value decomposition...

LINPACK
 Referenced in 516 articles
[sw04209]
 package solves linear systems whose matrices are general, banded, symmetric indefinite, symmetric positive definite, triangular ... package computes the QR and singular value decompositions of rectangular matrices and applies them...

SLEPc
 Referenced in 170 articles
[sw00875]
 generalized form, as well as other related problems such as the singular value decomposition...

NAPACK
 Referenced in 71 articles
[sw11666]
 singular value decomposition, or the QR decomposition. The package has special routines for general, band...

Algorithm 844
 Referenced in 17 articles
[sw04407]
 decompositions, like the singular value and QR decompositions, are not in general sparse...

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

gsvd
 Referenced in 1 article
[sw38317]
 Matlab function gsvd: Generalized singular value decomposition. The generalized singular value decomposition uses...

GSVD
 Referenced in 1 article
[sw35769]
 decompositions: The GSVD package. The generalized singular value decomposition (GSVD, a.k.a. ”SVD triplet”, ”duality diagram ... introduce the GSVD package for R. The general goal of GSVD is to provide ... other related decompositions (generalized eigenvalue decomposition, generalized partial least squaressingular value decomposition). Furthermore, GSVD ... followed by a formal definition of the generalized decompositions. Next I provide some key decisions...

tthresh
 Referenced in 3 articles
[sw27855]
 leverages the higherorder singular value decomposition (HOSVD), a generalization of the SVD to three...

SupCP
 Referenced in 1 article
[sw24588]
 covariates, {it SupCP}. SupCP generalizes the supervised singular value decomposition (SupSVD) for vectorvalued observations...

TKPSVD
 Referenced in 9 articles
[sw28028]
 propose the tensor Kronecker product singular value decomposition (TKPSVD) that decomposes a real ... 1σjA(d)j⊗⋯⊗A(1)j. We generalize the matrix Kronecker product to tensors such...

BDSVDX
 Referenced in 2 articles
[sw35942]
 associated tridiagonal eigenproblem. The Singular Value Decomposition (SVD) is widely used in numerical analysis ... crucial part of the SVD of a general matrix is to find ... 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 ... used for accurate spectral decomposition of general (indefinite) Hermitian matrices...

RobRSVD
 Referenced in 1 article
[sw39426]
 package RobRSVD: Robust Regularized Singular Value Decomposition. This package provides the function to calculate ... least squares methods. The regularized SVD uses generalized cross validation to choose the optimal smoothing...

FIDAP
 Referenced in 37 articles
[sw00006]
 FIDAP (A Fluid Dynamics Analysis Program). This paper...

ADOLC
 Referenced in 244 articles
[sw00019]
 ADOLC: Automatic Differentiation of C/C++. We present...

ALBERT
 Referenced in 82 articles
[sw00025]
 ALBERT  Software for scientific computations and applications. Adaptive...

AMD
 Referenced in 57 articles
[sw00039]
 Algorithm 837: AMD is a set of routines...

ANSYS
 Referenced in 672 articles
[sw00044]
 ANSYS offers a comprehensive software suite that spans...

ARMS
 Referenced in 65 articles
[sw00048]
 ARMS: an algebraic recursive multilevel solver for general...