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 -...
View ArticleAhmed-ElTahan/Deterministic-Batch-Least-Squares
561972016-03-28T12:24:47Z2016-03-28T12:24:47ZThis function is intended to estimate the parameters of a static system such as a polynomial fitting or dynamic system such as transfer function of unknown...
View ArticleFitting 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...
View ArticleBatchLeastSquares(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.
View ArticleRegression Model Fitting
1849472026-10-14T01:32:28Z2026-10-14T01:32:28Z# Regression Model FittingA lightweight MATLAB / Octave implementation for multiple linear regression fitting, statistical analysis, and response...
View ArticleParameter Extraction using Least Squares
624182017-04-04T22:07:54Z2017-04-04T22:07:54ZThis Parameter extraction code fits a known model to a given measurement data in least-squares sense. It is generalized for any number of variables and...
View ArticleBatchLeastSquares(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.
View Articleelltools
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,...
View ArticleBatchLeastSquares(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.
View Articleweighted 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 -...
View ArticleFitting 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...
View ArticleBatchLeastSquares(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.
View Articleiterative weighted least squares
650162017-11-09T23:34:46Z2017-11-09T23:34:46Zgauss-newton
View Articlenlsq & 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...
View ArticleBatchLeastSquares(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.
View Articleiterative weighted least squares
650162017-11-09T23:34:46Z2017-11-09T23:34:46Zgauss-newton
View Articlenlsq & 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...
View Articlenlsq & 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...
View Articlevarcov
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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