• 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...
  • Optimization Toolbox

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

  • Referenced in 55 articles [sw04809]
  • become a standard technique for nonlinear least-squares problems and can be thought...
  • NLPLIB

  • Referenced in 29 articles [sw03199]
  • LIBrary); a set of Matlab solvers, test problems, graphical and computational utilities for unconstrained ... optimization, quadratic programming, unconstrained and constrained nonlinear least squares, boxbounded global optimization, global mixed- integer ... 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...
  • 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...
  • TENSOLVE

  • Referenced in 28 articles [sw00956]
  • systems of nonlinear equations and nonlinear least-squares problems using tensor methods. This article describes ... modular software package for solving systems of nonlinear equations and nonlinear problems, using...
  • NACLab

  • Referenced in 13 articles [sw14672]
  • Computation. Accurate numerical solutions of hypersensitive algebraic problems from approximate data. Intuitive polynomial computation interface ... from linear transformations, and solving nonlinear least squares problem with Gauss-Newtion iterations...
  • cap

  • Referenced in 12 articles [sw11657]
  • mapping problem is a generalization of the problem which Trefethen solved by his Schwarz-Christoffel ... determined by solving a nonlinear least square problem. The authors coded the algorithm...
  • ELSUNC_f90

  • Referenced in 8 articles [sw05231]
  • Methods and Software for Nonlinear Least Squares Problems...
  • TRESNEI

  • Referenced in 14 articles [sw05208]
  • Newton method for bound-constrained nonlinear least-squares problems is presented. The solver, called TRESNEI ... zero and small-residual problems and handles the solution of nonlinear systems of equalities...
  • Filtrane

  • Referenced in 16 articles [sw05177]
  • package for solving nonlinear least-squares and nonlinear feasibility problems FILTRANE, a new Fortran...
  • g2o

  • Referenced in 7 articles [sw22795]
  • adjustment (BA). The overall goal in these problems is to find the configuration of parameters ... source C++ framework for such nonlinear least squares problems. g2o has been designed...
  • minpack.lm

  • Referenced in 9 articles [sw11616]
  • MINPACK library, for solving nonlinear least-squares problems by a modification of the Levenberg-Marquardt...
  • nlr

  • Referenced in 9 articles [sw05244]
  • statistical parameter estimation problems for general nonlinear models, e.g., nonlinear least squares, maximum likelihood, maximum ... quasi-likelihood, generalized nonlinear least squares, and some robust fitting problems. The accompanying test examples ... generalized linear model family, extensions using nonlinear predictors (“nonlinear GLIM”), and probabilistic choice models, such ... generalization of the NL2SOL algorithm for nonlinear least squares, employs a model/trust-region scheme for computing...
  • lsqnonlin

  • Referenced in 9 articles [sw13973]
  • lsqnonlin: Solve nonlinear least-squares (nonlinear data-fitting) problems...
  • coco_gop_ex

  • Referenced in 4 articles [sw10850]
  • accepting a wider class of bound constrained problems and providing more output information (by locating ... exception of a set of nonlinear least squares problems), and it often outperforms BARON...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • least squares support vector machines. Support Vector Machines is a powerful methodology for solving problems ... nonlinear classification, function estimation and density estimation which has also led to many other recent ... solves convex optimization problems, typically quadratic programs. Least Squares Support Vector Machines...
  • dqed

  • Referenced in 3 articles [sw05224]
  • quadratic-tensor model algorithm for nonlinear least-squares problems with linear constraints A new algorithm ... presented for solving nonlinear least squares and nonlinear equation problems. The algorithm is based ... problem statement may include simple bounds or more general linear constraints on the unknowns ... computations for the model-problem require a constrained nonlinear least squares solver. This is done...
  • LSA

  • Referenced in 4 articles [sw22887]
  • PSEN, intended for nonsmooth partially separable optimization problems, is based on partitioned variable metric updates ... PGAC, intended for sparse nonlinear least-squares problems, are based on modifications and corrections ... PEQL, intended for sparse systems of nonlinear equations, are based on the discrete Newton method...
  • nlmrt

  • Referenced in 2 articles [sw11302]
  • provides tools for working with nonlinear least squares problems using a calling structure similar...