
LINPACK
 Referenced in 510 articles
[sw04209]
 solve linear equations and linear leastsquares 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 leastsquares problems. LINPACK uses columnoriented algorithms...

EISPACK
 Referenced in 486 articles
[sw04208]
 singular value decomposition to solve certain leastsquares problems. EISPACK has been superseded...

LAPACK
 Referenced in 1582 articles
[sw00503]
 linear equations, leastsquares solutions of linear systems of equations, eigenvalue problems, and singular value...

SPGL1
 Referenced in 152 articles
[sw08365]
 norm solution of an underdetermined leastsquares problem. Basis Pursuit DeNoise (BPDN) fits the least ... squares problem only approximately, and a single parameter determines a curve that traces ... optimal tradeoff between the leastsquares fit and the onenorm of the solution ... gradientprojection method approximately minimizes a leastsquares problem with an explicit onenorm constraint...

LSMR
 Referenced in 59 articles
[sw12940]
 LSMR: an iterative algorithm for sparse leastsquares problems. An iterative method LSMR is presented ... solving linear systems Ax=b and leastsquares problems min∥Axb∥ 2 , with...

levmar
 Referenced in 51 articles
[sw04809]
 become a standard technique for nonlinear leastsquares problems and can be thought...

FISHPAK
 Referenced in 89 articles
[sw08012]
 reduction algorithm. When the problem is singular, a leastsquares solution is computed. Singularities induced...

TENSOLVE
 Referenced in 28 articles
[sw00956]
 systems of nonlinear equations and nonlinear leastsquares problems using tensor methods. This article describes...

Jellyfish
 Referenced in 23 articles
[sw12431]
 Jellyfish include matrix completion problems and leastsquares problems regularized by the nuclear norm...

COLAMD
 Referenced in 28 articles
[sw00145]
 such as those that arise in leastsquares problems and interior point methods for linear...

MINRES
 Referenced in 25 articles
[sw13371]
 really solving one of the leastsquares problems minimize ... MINRES returns a leastsquares solution with small Ar (where...

MINRESQLP
 Referenced in 10 articles
[sw11181]
 symmetric and Hermitian linear equations and leastsquares problems. We describe algorithm MINRES ... symmetric or Hermitian linear systems or leastsquares problems. If the system is singular, MINRES...

TRESNEI
 Referenced in 14 articles
[sw05208]
 Newton method for boundconstrained nonlinear leastsquares problems is presented. The solver, called TRESNEI...

ParNes
 Referenced in 12 articles
[sw08366]
 lasso problem, i.e., an underdetermined linear leastsquares problem with a 1norm constraint...

Bolasso
 Referenced in 26 articles
[sw31649]
 bootstrap. We consider the leastsquare linear regression problem with regularization by the l1norm...

MIQR
 Referenced in 8 articles
[sw07242]
 incomplete QR preconditioner for large sparse leastsquares problems This paper describes a multilevel incomplete ... factorization for solving large sparse leastsquares problems. The algorithm builds the factorization by exploiting...

SDLS
 Referenced in 7 articles
[sw04788]
 Matlab package for solving conic leastsquares problems SDLS is a Matlab freeware allowing ... solve approximately convex conic leastsquares problems. Geometrically, these problems amount to finding the projection ... affine subspace. SDLS solves the dual problem with a quasiNewton minimization algorithm, using ... solving and experimenting with general conic leastsquares. Up to our knowledge, no such freeware...

Amesos2
 Referenced in 9 articles
[sw18349]
 solving large sparse linear systems and leastsquares problems. Unlike competing iterative solver libraries, Belos...

BCLS
 Referenced in 8 articles
[sw05257]
 software package for solving boundconstrained leastsquares problems...

FaIMS
 Referenced in 5 articles
[sw06425]
 fast algorithm for the inverse medium problem with multiple frequencies and multiple sources ... decomposition (SVD) of leastsquares operators related to linearized inverse medium problems with multiple events ... Born approximation, we obtain a linear leastsquares problem. The scheme we describe in this ... operator (the operator in the linearized leastsquares problem). The main feature of the method...