
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 leastsquares problem only approximately, and a single parameter ... curve that traces the optimal tradeoff between the leastsquares ... gives an explicit relationship to two other optimization problems closely related to BPDN. We describe ... gradientprojection method approximately minimizes a leastsquares problem with an explicit onenorm 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, leastsquares 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: quasiNewton and nonlinearleast 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 componentwise (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...

LSSVMlab
 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 nongradientbased methods; uncertainty ... expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design ... within advanced strategies such as surrogatebased 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 : LevenbergMarquardt nonlinear least squares algorithms in C/C++ This site provides GPL native ANSI ... implementations of the LevenbergMarquardt optimization algorithm, usable also from C++, Matlab, Perl, Python, Haskell ... squares of nonlinear functions. It has become a standard technique for nonlinear leastsquares 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 memoryoptimized using the sparse matrix output...

NSWC
 Referenced in 11 articles
[sw09119]
 solution of linear equations, leastsquares solution of linear equations, optimization, transforms, approximation of functions...

CXTFIT
 Referenced in 5 articles
[sw30614]
 transport parameters using a nonlinear leastsquares parameter optimization method. This code may be used...

fenchel
 Referenced in 8 articles
[sw21480]
 with certain classes of mathematical optimization problems including leastsquares 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...