• LAPACK

  • Referenced in 1695 articles [sw00503]
  • solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue...
  • KELLEY

  • Referenced in 631 articles [sw04829]
  • method for the solution of nonlinear least squares problems. Both, overdetermined and underdetermined nonlinear least ... squares problems are considered. Chapter 3 is devoted to line-search and trust-region methods...
  • LINPACK

  • Referenced in 520 articles [sw04209]
  • solve linear equations and linear least-squares problems. The package solves linear systems whose matrices ... indefinite, symmetric positive definite, triangular, and tridiagonal square. In addition, the package computes ... rectangular matrices and applies them to least-squares problems. LINPACK uses column-oriented algorithms...
  • SIFT

  • Referenced in 631 articles [sw16554]
  • object, and finally performing verification through least-squares solution for consistent pose parameters. This approach...
  • ScaLAPACK

  • Referenced in 417 articles [sw00830]
  • solving systems of linear equations, least squares problems, and eigenvalue problems. The goals of both ... factorization, matrix inversion, full-rank linear least squares problems, orthogonal and generalized orthogonal factorizations, orthogonal...
  • EISPACK

  • Referenced in 488 articles [sw04208]
  • singular value decomposition to solve certain least-squares problems. EISPACK has been superseded...
  • Sostools

  • Referenced in 289 articles [sw00891]
  • toolbox for formulating and solving sums of squares (SOS) optimization programs. SOSTOOLS can be used ... specify and solve sum of squares polynomial problems using a very simple, flexible, and intuitive...
  • LSQR

  • Referenced in 394 articles [sw00530]
  • LSQR: Sparse Linear Equations and Least Squares Problems. An iterative method is given for solving...
  • SPGL1

  • Referenced in 196 articles [sw08365]
  • norm solution of an underdetermined least-squares problem. Basis Pursuit DeNoise (BPDN) fits the least ... squares problem only approximately, and a single parameter determines a curve that traces the optimal ... trade-off between the least-squares fit and the one-norm of the solution ... gradient-projection method approximately minimizes a least-squares problem with an explicit one-norm constraint...
  • eigs

  • Referenced in 323 articles [sw03702]
  • corresponding eigenvectors of a large general square matrix (which reduces to the Lanczos method...
  • CGS

  • Referenced in 308 articles [sw08225]
  • combination of the CGS algorithm (a “squared” conjugate gradient method) with a preconditioning called ILLU...
  • VanHuffel

  • Referenced in 222 articles [sw05243]
  • total least squares problem: computational aspects and analysis. Total least squares...
  • Optimization Toolbox

  • Referenced in 305 articles [sw10828]
  • quadratic programming, nonlinear optimization, and nonlinear least squares. You can use these solvers to find...
  • MATLAB expm

  • Referenced in 170 articles [sw14349]
  • scaling and squaring method for the matrix exponential revisited. The scaling and squaring method ... matrix exponential, and then repeatedly squares to undo the effect of the scaling...
  • SuperLU

  • Referenced in 193 articles [sw00930]
  • factorization routines can handle non-square matrices but the triangular solves are performed only ... square matrices. The matrix columns may be preordered (before factorization) either through library or user...
  • GSL

  • Referenced in 261 articles [sw05883]
  • random number generators, special functions and least-squares fitting. There are over 1000 functions...
  • Bertini

  • Referenced in 250 articles [sw06683]
  • both sampling and membership testing. Accepts square or nonsquare systems...
  • plfit

  • Referenced in 239 articles [sw23186]
  • analyzing power-law data, such as least-squares fitting, can produce substantially inaccurate estimates...
  • IRAM

  • Referenced in 203 articles [sw08795]
  • corresponding eigenvectors of a large general square matrix (which reduces to the Lanczos method...