
KELLEY
 Referenced in 631 articles
[sw04829]
 GaussNewton method for the solution of nonlinear least squares problems. Both, overdetermined and underdetermined ... nonlinear least squares problems are considered. Chapter 3 is devoted to linesearch and trust ... region methods, which are used to globalize convergence, i.e., remove the restriction that the starting...

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

DAKOTA
 Referenced in 77 articles
[sw05202]
 expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design...

SPGL1
 Referenced in 196 articles
[sw08365]
 optimal tradeoff between the leastsquares fit and the onenorm of the solution ... spectral gradientprojection method approximately minimizes a leastsquares problem with an explicit onenorm ... derivative information needed for the rootfinding method. Numerical experiments on a comprehensive...

plfit
 Referenced in 239 articles
[sw23186]
 Commonly used methods for analyzing powerlaw data, such as leastsquares fitting, can produce ... distributions, and even in cases where such methods return accurate answers they are still unsatisfactory...

LSMR
 Referenced in 72 articles
[sw12940]
 iterative algorithm for sparse leastsquares problems. An iterative method LSMR is presented for solving ... linear systems Ax=b and leastsquares problems min∥Axb∥ 2 , with A being ... analytically equivalent to the MINRES method applied to the normal equation...

gbm
 Referenced in 53 articles
[sw07994]
 gradient boosting machine. Includes regression methods for least squares, absolute loss, tdistribution loss, quantile...

Optimization Toolbox
 Referenced in 305 articles
[sw10828]
 quadratic programming, nonlinear optimization, and nonlinear least squares. You can use these solvers to find ... problems, perform tradeoff analyses, and incorporate optimization methods into algorithms and applications...

MAPCLUS
 Referenced in 31 articles
[sw20021]
 forADditiveCLUStering) model. MAPCLUS utilizes an alternating least squares method combined with a mathematical programming optimization...

nlmdl
 Referenced in 119 articles
[sw27811]
 methods in A. Ronald Gallant’s, ”Nonlinear Statistical Models”. The program computes least squares estimates ... implicit form, it computes threestage leastsquares estimates, TSLS option, and for nonlinear dynamic ... systems, possibly in implicit form, generalized methodofmoments estimates, GMM option...

MATLAB expm
 Referenced in 170 articles
[sw14349]
 squaring method is the most widely used method for computing the matrix exponential, not least ... matrix exponential, and then repeatedly squares to undo the effect of the scaling...

pls
 Referenced in 34 articles
[sw04365]
 Principal Component regression , Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression...

SIFT
 Referenced in 631 articles
[sw16554]
 ScaleInvariant Keypoints. This paper presents a method for extracting distinctive invariant features from images ... object, and finally performing verification through leastsquares solution for consistent pose parameters. This approach...

SparseM
 Referenced in 23 articles
[sw10534]
 linear model fitting functions that implement least squares methods for problems with sparse design matrices...

Indclus
 Referenced in 23 articles
[sw20757]
 INDCLUS generalization utilizes an alternating least squares method combined with a mathematical programming optimization procedure...

CGS
 Referenced in 308 articles
[sw08225]
 algorithm (a “squared” conjugate gradient method) with a preconditioning called ILLU (an incomplete line ... competitive solver for nonsymmetric linear systems, at least for problems that are not too large...

kappalab
 Referenced in 50 articles
[sw06086]
 capacity identification routines: three least squares based approaches, a method based on linear programming...

VanHuffel
 Referenced in 222 articles
[sw05243]
 problem: computational aspects and analysis. Total least squares (TLS) is one of the several linear ... model. The renewed interest in the TLS method is mainly due to the development...

NeNMF
 Referenced in 33 articles
[sw17586]
 projected gradient method (PG), the projected nonnegative least squares (PNLS), and the active set method...

levmar
 Referenced in 64 articles
[sw04809]
 become a standard technique for nonlinear leastsquares problems and can be thought ... steepest descent and the GaussNewton method. When the current solution is far from...