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fits(f,xd,yd,p0,n,m)

721132019-07-10T23:00:11Z2019-07-10T23:00:11ZParameter Fitting: given a model function f(x,p), this program finds the minimizer of F(p) = norm(d,n), where d = error vector Usage: Least squares...

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Least Squares using Cholesky Decomposition

599692018-06-29T17:21:39Z2018-06-29T17:21:39ZThis function computes the n-dimensional column vector x that minimizes norm(b-A*x), where A is an m-by-n coefficient matrix and b is the m-dimensional...

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Ahmed-ElTahan/Stochastic-Recursive-Modified-Extended-Least-Squreas-RMELS

562032016-07-08T08:28:36Z2016-07-08T08:28:36Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...

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Level Correction for I.C. Engine Cylinder Pressure Trace

689322018-09-26T19:34:21Z2018-09-26T19:34:21ZWhen measuring in-cylinder pressure on an I.C. (internal combustion) engine, pressure transducer drift can cause the measured values to be shifted up or...

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varcov

723722019-08-05T20:17:16Z2019-08-05T20:17:16ZVARCOV calculates the variance-covariance matrix for a regression created with the Matlab |fit| function. This matrix is not otherwise directly accessible...

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Least Squares Curve Fitting

121272012-03-12T06:17:49Z2012-03-12T06:17:49ZVery 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...

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3D Least squares polynomial fit in x and y

240622009-05-09T16:29:06Z2009-05-09T16:29:06ZOften, 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...

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Generate Equation for Interpolation/Extrapolation via Method of Least Squares

594752016-10-05T03:03:11Z2016-10-05T03:03:11ZInput is abscissa, ordinate and the degree of output equationThis is in reference to Least Square MethodCode is designed to help students learn step-by-step...

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Line-Line Intersection (N lines, D space)

598052016-10-29T14:23:33Z2016-10-29T14:23:33ZFind intersection of N lines in D-dimensional space, in least squares sense. X = lineXline(A,B) -line starts & ends as N*D X = lineXline({x y..}) -lines...

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active set algorithm

109082007-04-18T17:05:55Z2007-04-18T17:05:55ZThis function solves linear least squares problem with nonnegative variables using the active set algorithm described in: Portugal, Judice and Vicente, A...

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Circle fitting using modified Coopes method

407002013-03-08T16:53:06Z2013-03-08T16:53:06ZThe included function 'ciclefit' estimates the radius and center of a circle represented by data-points.This is achieved using a modified version of Coopes...

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trilin

311252011-04-20T05:33:53Z2011-04-20T05:33:53ZIf you like the idea behind MATLAB's linsolve or Tim Davis' linfactor, you might find trilin useful as well.Let's say you have a generalized least squares...

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nlsq & nnnlsq Least squares

526162017-12-31T05:47:24Z2017-12-31T05:47:24ZRobust & non negative non linear least squares: nlsq & nnnlsqnlsq Robust non linear least squares uses singular value decomposition and attempts a...

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elltools

279392010-06-18T07:02:07Z2010-06-18T07:02:07ZA small collection of m files for dealing with fitting ellipses to sets of (x,y) data, converting between two different parameterisations of ellipse shape,...

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Fitting an ellipse to a given set of points using Trust Region method

321072011-07-06T21:28:45Z2011-07-06T21:28:45ZThis is a version of ellipse fit when applying Trust Region minimization scheme.The most accurate and robust fit minimizes geometric (orthogonal) distances...

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Very large AR regressions

250832009-08-20T08:21:26Z2009-08-20T08:21:26ZHeavily optimized for very large autoregressions (ie. 100 millions observations and 500 lags). Doesn't consume additional memory. Up to x100 increase in...

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Model Replay

228952010-03-29T09:13:15Z2010-03-29T09:13:15ZThese MATLAB files serve as a graphical user interface for using the APMonitor moving horizon estimation (MHE) feature. The APMonitor executable and example...

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weighted least-squares + weighted min-max optimization

214222008-09-12T14:06:03Z2008-09-12T14:06:03ZThis is a wrapper function to solve optimization problems (using FMINCON) of the form:min w.r.t. X of CostFunc(X) = beta*(W_ls*F(X)) + (1 -...

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BatchLeastSquares(u,y,d,nb,na)

562642016-04-04T09:40:21Z2016-04-04T09:40:21ZThis function estimates the the transfer function coefficients (System Parameters) offline using Batch Least Squares Method.

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Fitting a conic to a given set of points using Trust Region method

321092011-07-06T21:59:55Z2011-07-06T21:59:55ZA general conic can be uniquely describe by the following equation up to a scale factor: Ax^2+Bxy+Cy^2+Dx+Ey+F=0Then (A,B,C,D,E,F) is often called algebraic...

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