• KELLEY

  • Referenced in 631 articles [sw04829]
  • Gauss-Newton 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, 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 trade-off between the least-squares fit and the one-norm of the solution ... spectral gradient-projection method approximately minimizes a least-squares problem with an explicit one-norm ... derivative information needed for the root-finding method. Numerical experiments on a comprehensive...
  • plfit

  • Referenced in 239 articles [sw23186]
  • Commonly used methods for analyzing power-law data, such as least-squares 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 least-squares problems. An iterative method LSMR is presented for solving ... linear systems Ax=b and least-squares problems min∥Ax-b∥ 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, t-distribution 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 three-stage least-squares estimates, TSLS option, and for nonlinear dynamic ... systems, possibly in implicit form, generalized method-of-moments 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]
  • Scale-Invariant Keypoints. This paper presents a method for extracting distinctive invariant features from images ... object, and finally performing verification through least-squares 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 least-squares problems and can be thought ... steepest descent and the Gauss-Newton method. When the current solution is far from...