
KELLEY
 Referenced in 600 articles
[sw04829]
 identification problem and a discretized optimal control problem, both of which are used to demonstrate ... method for the solution of nonlinear least squares problems. Both, overdetermined and underdetermined nonlinear least...

LINPACK
 Referenced in 514 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...

ScaLAPACK
 Referenced in 404 articles
[sw00830]
 solving systems of linear equations, least squares problems, and eigenvalue problems. The goals of both ... factorization, matrix inversion, fullrank linear least squares problems, orthogonal and generalized orthogonal factorizations, orthogonal...

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 EISPACK has been superseded...

LSQR
 Referenced in 358 articles
[sw00530]
 LSQR: Sparse Linear Equations and Least Squares Problems. An iterative method is given for solving...

LAPACK
 Referenced in 1626 articles
[sw00503]
 linear equations, leastsquares solutions of linear systems of equations, eigenvalue problems, and singular value...

SPGL1
 Referenced in 159 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 the optimal ... tradeoff between the leastsquares fit and the onenorm of the solution ... gradientprojection method approximately minimizes a leastsquares problem with an explicit onenorm constraint...

VanHuffel
 Referenced in 213 articles
[sw05243]
 total least squares problem: computational aspects and analysis. Total least squares...

PROPACK
 Referenced in 100 articles
[sw04019]
 linear systems of equations and linear least squares problems, in particular for systems with multiple...

HarwellBoeing sparse matrix collection
 Referenced in 210 articles
[sw08516]
 test set comprises problems in linear systems, least squares, and eigenvalue calculations from a wide ... variety of scientific and engineering disciplines. The problems range from small matrices, used as counter...

CLAPACK
 Referenced in 89 articles
[sw03112]
 including systems of linear equations, linear least squares problems, eigenvalue problems, and singular value problems...

LSMR
 Referenced in 65 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...

NAPACK
 Referenced in 70 articles
[sw11666]
 invert a matrix, to solve least squares problems, to perform unconstrained minimization, to compute eigenvalues...

FPC_AS
 Referenced in 57 articles
[sw12218]
 MATLAB solver for the l1regularized least squares problem: A fast algorithm for sparse reconstruction...

levmar
 Referenced in 55 articles
[sw04809]
 become a standard technique for nonlinear leastsquares problems and can be thought...

Optimization Toolbox
 Referenced in 283 articles
[sw10828]
 Solve linear, quadratic, integer, and nonlinear optimization problems. Optimization Toolbox™ provides functions for finding parameters ... quadratic programming, nonlinear optimization, and nonlinear least squares. You can use these solvers to find ... optimal solutions to continuous and discrete problems, perform tradeoff analyses, and incorporate optimization methods into...

SPARSPAK
 Referenced in 38 articles
[sw04309]
 linear equations and large sparse least squares problems...

NLPLIB
 Referenced in 29 articles
[sw03199]
 LIBrary); a set of Matlab solvers, test problems, graphical and computational utilities for unconstrained ... quadratic programming, unconstrained and constrained nonlinear least squares, boxbounded global optimization, global mixed integer nonlinear ... problems. Using MEXfile interfaces, problems in the CUTE test problem data base and problems defined ... algorithms are implemented for the nonlinear least squares problem to approxi mate sums of exponential...

MINRES
 Referenced in 29 articles
[sw13371]
 really solving one of the leastsquares problems minimize ... MINRES returns a leastsquares solution with small Ar (where...

ODRPACK
 Referenced in 21 articles
[sw00649]
 used to solve the nonlinear ordinary least squares problem. The procedure has application to curve ... procedure that exploits the structure of the problem so that the computational cost per iteration ... algorithm applied to the nonlinear ordinary least squares problem. The package allows a general weighting...