Ahmed-ElTahan/Stochastic-Recursive-Extended-Least-Squreas-RELS
562022016-06-07T15:12:17Z2016-06-07T15:12:17Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
View ArticleLeast 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...
View ArticleAhmed-ElTahan/Stochastic-Recursive-Extended-Least-Squreas-RELS
562022016-06-07T15:12:17Z2016-06-07T15:12:17Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
View ArticleAhmed-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...
View ArticleAhmed-ElTahan/Stochastic-Recursive-Extended-Least-Squreas-RELS
562022016-06-07T15:12:17Z2016-06-07T15:12:17Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
View ArticleLeast 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...
View ArticleAhmed-ElTahan/Stochastic-Recursive-Extended-Least-Squreas-RELS
562022016-06-07T15:12:17Z2016-06-07T15:12:17Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
View ArticleLeast 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...
View ArticleAhmed-ElTahan/Stochastic-Recursive-Extended-Least-Squreas-RELS
562022016-06-07T15:12:17Z2016-06-07T15:12:17Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
View Articlefits(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...
View ArticleAhmed-ElTahan/Stochastic-Recursive-Extended-Least-Squreas-RELS
562022016-06-07T15:12:17Z2016-06-07T15:12:17Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
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...
View ArticleAhmed-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...
View ArticleLeast 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...
View ArticleAhmed-ElTahan/Stochastic-Recursive-Extended-Least-Squreas-RELS
562022016-06-07T15:12:17Z2016-06-07T15:12:17Z% This function is made by Ahmed ElTahan%{ This function is intended to estimate the parameters of a dynamic system of unknown parameters using the...
View Article3D 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...
View ArticleLeast 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...
View Article3D 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...
View ArticleLeast 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...
View Article3D 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...
View Article