• 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 squares-singular 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 higher-order 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 vector-valued 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...
  • ADOL-C

  • Referenced in 244 articles [sw00019]
  • ADOL-C: 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...