• LINPACK

  • Referenced in 512 articles [sw04209]
  • problems. The package solves linear systems whose matrices are general, banded, symmetric indefinite, symmetric positive ... singular value decompositions of rectangular matrices and applies them to least-squares problems. LINPACK uses...
  • JDQZ

  • Referenced in 563 articles [sw07031]
  • matrix pencil A-lambda*B. The matrices can be real or complex, Hermitian ... used to compute a partial generalized Schur decomposition of the pair (A,B). The decomposition...
  • EISPACK

  • Referenced in 486 articles [sw04208]
  • eigenvalues and eigenvectors of nine classes of matrices: complex general, complex Hermitian, real general, real ... routines are included that use singular value decomposition to solve certain least-squares problems. EISPACK...
  • PROPACK

  • Referenced in 97 articles [sw04019]
  • singular value decomposition of large and sparse or structured matrices. The SVD routines are based...
  • svdpack

  • Referenced in 60 articles [sw04819]
  • computing the singular value decomposition (SVD) of large sparse matrices using double precision ANSI Fortran...
  • SuperLU

  • Referenced in 166 articles [sw00930]
  • library routines will perform an LU decomposition with partial pivoting and triangular system solves through ... factorization routines can handle non-square matrices but the triangular solves are performed only...
  • Leibniz

  • Referenced in 31 articles [sw12871]
  • learner - dimension reduction of models - decomposition of graphs and matrices - solution of constrained optimization problems...
  • AREP

  • Referenced in 9 articles [sw13167]
  • decomposition matrix A in the form of a product of highly structured, sparse matrices. This ... form and derive new results on decomposition matrices of representations. Our decomposition algorithm has been...
  • RcppEigen

  • Referenced in 14 articles [sw10610]
  • floating point and complex numbers, decompositions of such matrices, and solutions of linear systems...
  • NAPACK

  • Referenced in 70 articles [sw11666]
  • singular value decomposition, or the QR decomposition. The package has special routines for general, band ... symmetric, indefinite, tridiagonal, upper Hessenberg, and circulant matrices. (netlib napack...
  • SuperLU-DIST

  • Referenced in 81 articles [sw00002]
  • library routines will perform an LU decomposition with partial pivoting and triangular system solves through ... factorization routines can handle non-square matrices but the triangular solves are performed only...
  • psSchur

  • Referenced in 20 articles [sw04619]
  • periodic real Schur decomposition of a matrix product Gm...G1. Singular matrices are allowed ... eigenvectors or the reordering of the Schur decomposition...
  • PROXIMUS

  • Referenced in 9 articles [sw04989]
  • attributed datasets based on nonorthogonal decomposition of binary matrices. This tool can be used...
  • SDLS

  • Referenced in 8 articles [sw04788]
  • numerical component is eigenvalue decomposition for symmetric matrices, achieved by Matlab’s built-in linear...
  • irlba

  • Referenced in 7 articles [sw21041]
  • Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices. Fast ... singular value decomposition and principal components analysis of large sparse and dense matrices...
  • CHAMP

  • Referenced in 3 articles [sw08494]
  • compute the Calogero–Moser families, the decomposition matrices of the Verma modules, and the structure...
  • Algorithm 854

  • Referenced in 16 articles [sw07345]
  • skew-Hamiltonian matrices. The implemented algorithms are based on orthogonal symplectic decompositions, implying numerical backward...
  • ID

  • Referenced in 4 articles [sw14543]
  • rank approximation of matrices via interpolative decompositions. This software distribution provides Fortran routines for computing ... rank approximations to matrices, in the forms of interpolative decompositions (IDs) and singular value decompositions...
  • SVDComplexes

  • Referenced in 2 articles [sw27129]
  • Stillman, https://arxiv.org/abs/1804.09838. Singular value decompositions of matrices are extremely useful in practice ... extend the notion of singular value decomposition from matrices over the reals or complexes...
  • DEPOSIT

  • Referenced in 3 articles [sw18076]
  • based on the two dimensional cross decomposition of matrices and separated representations of analytical functions...