• LAPACK

  • Referenced in 1713 articles [sw00503]
  • singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur...
  • EISPACK

  • Referenced in 490 articles [sw04208]
  • generalized real symmetric matices. In addition, two routines are included that use singular value decomposition...
  • LINPACK

  • Referenced in 525 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 200 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...
  • irbleigs

  • Referenced in 19 articles [sw00451]
  • singular values and associated right and left singular vectors of a large general matrix...
  • Algorithm 844

  • Referenced in 18 articles [sw04407]
  • decompositions, like the singular value and QR decompositions, are not in general sparse...
  • SAM II

  • Referenced in 3 articles [sw14062]
  • formulated as eigenvalue problems by using generalized singular value decomposition. In this program there...
  • 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]
  • Generalized eigen, singular value, and partial least ... squares decompositions: The GSVD package. The generalized singular value decomposition (GSVD, a.k.a. ”SVD triplet”, ”duality ... introduce the GSVD package for R. The general goal of GSVD is to provide ... decompositions (generalized eigenvalue decomposition, generalized partial least squares-singular value decomposition). Furthermore, GSVD helps provide...
  • tthresh

  • Referenced in 4 articles [sw27855]
  • leverages the higher-order singular value decomposition (HOSVD), a generalization of the SVD to three...
  • SupCP

  • Referenced in 2 articles [sw24588]
  • auxiliary covariates, {it SupCP}. SupCP generalizes the supervised singular value decomposition (SupSVD) for vector-valued...
  • BiMD

  • Referenced in 23 articles [sw13275]
  • generalization of the code BiM for solving (stiff) initial value problems for linearly implicit DAEs ... where M is a constant, possibly singular, matrix...
  • TKPSVD

  • Referenced in 12 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...
  • HOFiD_UP

  • Referenced in 12 articles [sw06403]
  • code HOFiD_UP for solving second order singular perturbation problems. The code is based ... order finite differences, in particular on the generalized upwind method. Within its simplicity, it uses ... codes for two-point boundary value problems fail...
  • BDSVDX

  • Referenced in 3 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 ... computation of the SVD of general matrices...
  • ODE-IVP-PACK

  • Referenced in 6 articles [sw09345]
  • programs written in Fortran-77 for initial value problems (IVPs) for systems of ordinary differential ... general class of differential equations, but it excels for problem solutions with endpoint singularities...
  • 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...
  • OEIG

  • Referenced in 4 articles [sw07166]
  • propose a new interpretation of the generalized overdetermined eigenvalue problem (𝐀-λ𝐁)𝐯 ... that locally minimize the smallest singular value over the matrix pencil {𝐀-λ𝐁}. Practically...
  • 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...