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Least Squares Examples software
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Least Squares Examples

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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: 220

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: August 23, 2013 | Visits: 240

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

Added: April 27, 2013 | Visits: 251

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: 900

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: 770

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: 792

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

Added: June 15, 2013 | Visits: 202

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

Added: May 20, 2013 | Visits: 298

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: April 20, 2013 | Visits: 229

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: 211

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: 226

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

Added: August 19, 2013 | Visits: 233

polyfit_roots POLYFIT_ROOTS Least-squares polynomial fit to data.[R,K] = POLYFIT_ROOTS(X, Y, N, TOL) finds the roots R and constant K so that the polynomial P(s) = K*(s-R(1))*(s-R(2))* ... *(s-R(N)) is the best least-squares fit to the data Y at points X.Argument TOL bounds the accuracy of the fit, and if... Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 81.92 KB Download (18): polyfit_roots Download

Released: August 25, 2012  |  Added: August 25, 2012 | Visits: 326

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: July 17, 2013 | Visits: 315

3D Least squares polynomial fit in x and y Often, measured data is comprised of N sampled values of z, evaluated at N locations (x,y). With this function, you can calculate the coefficients of the best-fit x,y polynomial using a linear least squares approximation.You can use this function if you have a set of N data triplets x,y,z, and... Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (20): 3D Least squares polynomial fit in x and y Download

Added: August 23, 2013 | Visits: 293

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

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Added: June 21, 2013 | Visits: 255

Multiple Coherence Function For a system having multiple inputs x and outputs y, the partial coherence is the coherence computed between any individual input and the output when the effect of all other inputs is removed from the output by a linear least squares prediction. This coherence obeys the usual inequality, and will... Platforms: Matlab

License: Freeware Size: 10 KB Download (20): Multiple Coherence Function Download

Added: May 17, 2013 | Visits: 255

Unimodal regression M-files for unimodality (or monotonically) constrained least squares regression. Platforms: Matlab

License: Shareware Cost: $0.00 USD Size: 10 KB Download (18): Unimodal regression Download

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