In MATLAB, you can solve the linear least squares problem for y = mx + b using matrix multiplication and for loops. Here is a MATLAB code example:
main.m588 chars23 lines
This code calculates the coefficients of the linear equation using matrix multiplication and for loops. The x-values and corresponding y-values are used to create the Vandermonde matrix, which is then used in the least squares solution to obtain the slope (m) and the y-intercept (b).
Note that this is just one way to solve the linear least squares problem in MATLAB, and there are other ways that may be more efficient depending on the problem.
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