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Nonlinear Least Squares Algorithm software
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Nonlinear Least Squares Algorithm

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Added: May 20, 2013 | Visits: 279

weighted total least squares straight line fit The problem of fitting a straight line to data with uncertainties in both coordinates is solved using a weighted total least-squares algorithm. The parameters are transformed from the usual slope/y-axis intersection pair to slope angle and distance to the origin. The advantages of this are that...



Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (19): weighted total least squares straight line fit Download

weighted total least squares for mutually correlated coordinates The problem of fitting a straight line to data with uncertainties in both coordinates is solved using a weighted total least-squares algorithm. The parameters are transformed from the usual slope/y-axis intersection pair to slope angle and distance to the origin. The advantages of this are that...





Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): weighted total least squares for mutually correlated coordinates Download

Added: August 23, 2013 | Visits: 227

Discrete Least-Squares Rational Approximation Constructs discrete least-squares rational approximations to data using the full-Newton algorithm for solving separable non-linear least-squares problems that was developed in:Carlos F. Borges, A Full-Newton Approach to Separable Nonlinear Least Squares Problems and its Application to Discrete...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Discrete Least-Squares Rational Approximation Download

LMFsolve.m: Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares problems The function LMFsolve.m serves for finding optimal solution of an overdetermined system of nonlinear equations in the least-squares sense. The standard Levenberg- Marquardt algorithm was modified by Fletcher and coded in FORTRAN many years ago. LMFsolve is its essentially shortened version...


Platforms: Matlab


Added: August 23, 2013 | Visits: 261

LMFnlsq - Solution of nonlinear least squares The function The LMFnlsq.m serves for finding optimal solution of an overdetermined system of nonlinear equations in the least-squares sense. The standard Levenberg- Marquardt algorithm was modified by Fletcher and coded in FORTRAN many years ago (see the Reference). This version of LMFnlsq is...


Platforms: Matlab

License: Freeware Size: 870.4 KB Download (21): LMFnlsq - Solution of nonlinear least squares Download

Released: August 23, 2012  |  Added: August 23, 2012 | Visits: 315

DynaFit The DynaFit application was developed to perform nonlinear least-squares regression of chemical kinetic, enzyme kinetic, or ligand-receptor binding data. The experimental data can be either initial reaction velocities in dependence on the concentration of varied species (e.g., inhibitor...


Platforms: Windows

License: Freeware Size: 5.8 MB Download (33): DynaFit Download

Added: June 01, 2013 | Visits: 223

zpkfit zpkfit uses the nonlinear least-squares fitter (lsqnonlin) to fit an analytic model of any (fixed) number of poles and zeroes to numerical (presumably measured) frequency response data. It takes as arguments a frequency vector, a frequency response vector, and vectors of the initial guesses of...


Platforms: Matlab

License: Freeware Size: 10 KB Download (20): zpkfit Download

Added: April 26, 2013 | Visits: 295

AdvCurveFit This example solves a complex curve fitting problem that involves parameter pooling and stratification using a nonlinear least-squares approach. This example also takes advantage of some new language features with MATLAB 7. * Anonymous functions * Nested functions


Platforms: Matlab

License: Freeware Size: 51.2 KB Download (20): AdvCurveFit Download

Added: June 15, 2013 | Visits: 190

Moving Least Squares This package contains a set of tools that allows to deform in real-time points and images using the Moving Least Squares algorithms. This is a fast technique to get good image deformations without using the computational expansive techniques provided by the thin-plates splines algorithms. The...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 1.13 MB Download (19): Moving Least Squares Download

Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction OLS - Orthogonal Least Squares: Proposed by T. Blumensath, M. E. DaviesStOLS - Stagewise OLS: Combining StOMP ideas with OLSROLS - Regularized OLS: Combining ROMP ideas with OLS


Platforms: Matlab


Added: April 19, 2013 | Visits: 203

Total Least Squares Method We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of:- linear regression model- nonlinear regression model- fitting data in 3D space- identification of...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Total Least Squares Method Download

Added: April 27, 2013 | Visits: 237

Constrained Hermite Taylor Series Least Squares Like the finite difference method, the Taylor Series Least Squares method can be used to estimate derivatives. The TLS technique can be used to estimate derivatives from scattered or unstructured data. The Hermite Taylor Series Least Squares technique augments the TLS approach with information...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Constrained Hermite Taylor Series Least Squares Download

Added: February 17, 2010 | Visits: 876

Statistics::LineFit Statistics::LineFit module least squares line fit, weighted or unweighted. SYNOPSIS use Statistics::LineFit; $lineFit = Statistics::LineFit->new(); $lineFit->setData (@xValues, @yValues) or die "Invalid data"; ($intercept, $slope) = $lineFit->coefficients(); defined $intercept or die...


Platforms: *nix

License: Freeware Size: 24.58 KB Download (100): Statistics::LineFit Download

Added: July 04, 2010 | Visits: 752

Statistics::OLS Statistics::OLS is a Perl module to perform ordinary least squares and associated statistics. SYNOPSIS use Statistics::OLS; my $ls = Statistics::OLS->new(); $ls->setData (@xydataset) or die( $ls->error() ); $ls->setData (@xdataset, @ydataset); $ls->regress(); my ($intercept, $slope)...


Platforms: *nix

License: Freeware Size: 8.19 KB Download (79): Statistics::OLS Download

Added: April 23, 2010 | Visits: 775

Statistics::GaussHelmert Statistics::GaussHelmert is a general weighted least squares estimation module. SYNOPSIS use Statistics::GaussHelmert; # create an empty model my $estimation = new Statistics::GaussHelmert; # setup the model given observations $y, covariance matrices # $Sigma_yy, an initial guess $b0...


Platforms: *nix

License: Freeware Size: 13.31 KB Download (87): Statistics::GaussHelmert Download

Released: August 25, 2012  |  Added: August 25, 2012 | Visits: 307

DMFitter ActiveX control DMFitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Features include: both linear and nonlinear (Levenberg-Marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string...


Platforms: Windows

License: Freeware Size: 368.64 KB Download (28): DMFitter ActiveX control Download

Added: April 20, 2013 | Visits: 216

Least Squares Curve Fitting Very limited application of least squares. It gives you the plotted curves of original and plotted data with the equation in polynomial form. you can also evaluate that polynomial at different points for prediction.note:1.it would be best viewed on 1024x768.2. if you copy and paste data in data...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 163.84 KB Download (19): Least Squares Curve Fitting Download

Analytical solution for Orthogonal Linear Least Squares in two dimensions ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x + b y + c = 0function f = OrthLLS2D(x, y)Inputs x and y must be real vectors of equal size.Output f is the real vector [a b c] where a, b and c are the estimated parameters of the linear equation.Since a...


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Analytical solution for Orthogonal Linear Least Squares in two dimensions Download

Added: July 31, 2013 | Visits: 194

Least squares with minimum-norm solution This function calculates the minimum-norm solution of the least squares problem A*X = B. Where A is low-rank matrix. The function LSMIN is faster then the matlab alternative X = pinv(A)*B. Uses the LAPACK functions (S,C,D,Z)EGLSS or (S,C,D,Z)EGLSD.


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Least squares with minimum-norm solution Download

Added: August 08, 2013 | Visits: 203

Least Squares Data Fitting in MATLAB Demonstration of least squares data fitting using both inverse and backslash operators.This example was developed for use in teaching modeling, simulation, and optimization in graduate engineering courses. A corresponding video is available at:


Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Least Squares Data Fitting in MATLAB Download

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