• Optimization Toolbox

  • Referenced in 274 articles [sw10828]
  • linear programming, quadratic programming, nonlinear optimization, and nonlinear least squares. You can use these solvers...
  • SPGL1

  • Referenced in 153 articles [sw08365]
  • Basis Pursuit DeNoise (BPDN) fits the least-squares problem only approximately, and a single parameter ... curve that traces the optimal trade-off between the least-squares ... gives an explicit relationship to two other optimization problems closely related to BPDN. We describe ... gradient-projection method approximately minimizes a least-squares problem with an explicit one-norm constraint...
  • KELLEY

  • Referenced in 589 articles [sw04829]
  • parameter identification problem and a discretized optimal control problem, both of which are used ... method for the solution of nonlinear least squares problems. Both, overdetermined and underdetermined nonlinear least ... restriction that the starting point of the optimization iteration is sufficiently close to a solution...
  • LAPACK

  • Referenced in 1586 articles [sw00503]
  • solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue ... innermost loops. These block operations can be optimized for each architecture to account...
  • Tensorlab

  • Referenced in 44 articles [sw14255]
  • complex optimization: quasi-Newton and nonlinear-least squares optimization with complex variables including numerical complex...
  • NLPLIB

  • Referenced in 29 articles [sw03199]
  • programming, unconstrained and constrained nonlinear least squares, boxbounded global optimization, global mixed- integer nonlinear programming ... toolbox OPERA TB for linear and discrete optimization, is a part of TOMLAB; an environment ... Matlab for research and teaching in optimization. TOMLAB currently solves small and medium size dense ... applied optimization problems. New types of algorithms are implemented for the nonlinear least squares problem...
  • mboost

  • Referenced in 51 articles [sw07331]
  • boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression...
  • FPC_AS

  • Referenced in 57 articles [sw12218]
  • least squares problem: A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization...
  • LS-SVMlab

  • Referenced in 24 articles [sw07367]
  • SVMlab: a matlab/c toolbox for least squares support vector machines. Support Vector Machines ... methods one solves convex optimization problems, typically quadratic programs. Least Squares Support Vector Machines...
  • DAKOTA

  • Referenced in 62 articles [sw05202]
  • iterative analysis methods. Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty ... expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design ... within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under...
  • MAPCLUS

  • Referenced in 31 articles [sw20021]
  • utilizes an alternating least squares method combined with a mathematical programming optimization procedure based...
  • levmar

  • Referenced in 52 articles [sw04809]
  • levmar : Levenberg-Marquardt nonlinear least squares algorithms in C/C++ This site provides GPL native ANSI ... implementations of the Levenberg-Marquardt optimization algorithm, usable also from C++, Matlab, Perl, Python, Haskell ... squares of nonlinear functions. It has become a standard technique for nonlinear least-squares problems...
  • Indclus

  • Referenced in 23 articles [sw20757]
  • utilizes an alternating least squares method combined with a mathematical programming optimization procedure based...
  • NAPACK

  • Referenced in 70 articles [sw11666]
  • subroutines for doing numerical linear algebra and optimization. It may be used to solve linear ... invert a matrix, to solve least squares problems, to perform unconstrained minimization, to compute eigenvalues...
  • pertsaus2

  • Referenced in 17 articles [sw15442]
  • locate the optimal configuration. Explicit implementation details are given for least squares loss functions ... earlier implementations of Simulated Annealing and other optimization strategies for Unidimensional Scaling in run time...
  • flare

  • Referenced in 17 articles [sw12406]
  • convert the original optimization problem into a sequential L1 penalized least square minimization problem, which ... selector and CLIME. The computation is memory-optimized using the sparse matrix output...
  • NSWC

  • Referenced in 11 articles [sw09119]
  • solution of linear equations, least-squares solution of linear equations, optimization, transforms, approximation of functions...
  • CXTFIT

  • Referenced in 5 articles [sw30614]
  • transport parameters using a nonlinear least-squares parameter optimization method. This code may be used...
  • fenchel

  • Referenced in 8 articles [sw21480]
  • with certain classes of mathematical optimization problems including least-squares and linear programming problems. This ... interest due to the facts that convex optimization problems can be solved efficiently by interior...
  • bmrm

  • Referenced in 18 articles [sw11016]
  • optimization, ROC optimization, ordinal regression, quantile regression, epsilon insensitive regression, least mean square, logistic regression...