llsq, a MATLAB code which solves the linear least squares (LLS) problem. It finds the "best" straight line to match a set of data points. More precisely, it finds the quantities "a" and "b" defining the straight line y=a*x+b, which minimizes the root-mean-square (RMS) error to the data.
The computer code and data files described and made available on this web page are distributed under the MIT license
llsq is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.
fmincon_test, a MATLAB code which illustrates the use of fmincon, a function included in MATLAB's Optimization Toolbox, which seeks the minimizer of a scalar function of multiple variables, within a region specified by linear constraints and bounds.
test_approx, a MATLAB code which defines test problems for approximation, provided as a set of (x,y) data.
test_lls, a MATLAB code which implements linear least squares (LLS) test problems of the form A*x=b.