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...
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 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 ArticleFitting 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...
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 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 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 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...
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