• LINPACK

  • Referenced in 516 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...
  • EISPACK

  • Referenced in 486 articles [sw04208]
  • singular value decomposition to solve certain least-squares problems. EISPACK has been superseded...
  • LAPACK

  • Referenced in 1654 articles [sw00503]
  • linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value...
  • SPGL1

  • Referenced in 182 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 ... 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...
  • LSMR

  • Referenced in 69 articles [sw12940]
  • LSMR: an iterative algorithm for sparse least-squares problems. An iterative method LSMR is presented ... solving linear systems Ax=b and least-squares problems min∥Ax-b∥ 2 , with...
  • levmar

  • Referenced in 58 articles [sw04809]
  • become a standard technique for nonlinear least-squares problems and can be thought...
  • FISHPAK

  • Referenced in 95 articles [sw08012]
  • reduction algorithm. When the problem is singular, a least-squares solution is computed. Singularities induced...
  • MINRES

  • Referenced in 33 articles [sw13371]
  • really solving one of the least-squares problems minimize ... MINRES returns a least-squares solution with small ||Ar|| (where...
  • Jellyfish

  • Referenced in 28 articles [sw12431]
  • Jellyfish include matrix completion problems and least-squares problems regularized by the nuclear norm...
  • COLAMD

  • Referenced in 29 articles [sw00145]
  • such as those that arise in least-squares problems and interior point methods for linear...
  • MINRES-QLP

  • Referenced in 20 articles [sw11181]
  • symmetric and Hermitian linear equations and least-squares problems. We describe algorithm MINRES ... symmetric or Hermitian linear systems or least-squares problems. If the system is singular, MINRES...
  • TENSOLVE

  • Referenced in 28 articles [sw00956]
  • systems of nonlinear equations and nonlinear least-squares problems using tensor methods. This article describes...
  • TRESNEI

  • Referenced in 15 articles [sw05208]
  • Newton method for bound-constrained nonlinear least-squares problems is presented. The solver, called TRESNEI...
  • MIQR

  • Referenced in 9 articles [sw07242]
  • incomplete QR preconditioner for large sparse least-squares problems This paper describes a multilevel incomplete ... factorization for solving large sparse least-squares problems. The algorithm builds the factorization by exploiting...
  • ParNes

  • Referenced in 12 articles [sw08366]
  • lasso problem, i.e., an underdetermined linear least-squares problem with a 1-norm constraint...
  • Bolasso

  • Referenced in 28 articles [sw31649]
  • bootstrap. We consider the least-square linear regression problem with regularization by the l1-norm...
  • SDLS

  • Referenced in 8 articles [sw04788]
  • Matlab package for solving conic least-squares problems SDLS is a Matlab freeware allowing ... solve approximately convex conic least-squares problems. Geometrically, these problems amount to finding the projection ... affine subspace. SDLS solves the dual problem with a quasi-Newton minimization algorithm, using ... solving and experimenting with general conic least-squares. Up to our knowledge, no such freeware...
  • BCLS

  • Referenced in 11 articles [sw05257]
  • software package for solving bound-constrained least-squares problems...
  • Amesos2

  • Referenced in 11 articles [sw18349]
  • solving large sparse linear systems and least-squares problems. Unlike competing iterative solver libraries, Belos...
  • minpack.lm

  • Referenced in 10 articles [sw11616]
  • MINPACK library, for solving nonlinear least-squares problems by a modification of the Levenberg-Marquardt...