Quantcast
Channel: MATLAB Central - File Exchange - tag:"least squares"
Browsing all 628 articles
Browse latest View live

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 Article


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...

View Article


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...

View Article

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...

View Article

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...

View Article


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...

View Article

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...

View Article

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...

View Article

Browsing all 628 articles
Browse latest View live