Finding Affine Transform with Linear Least Squares

\( \)

linear least squares is a method of fitting a model to data in which the relation between data and unknown paramere can be expressed in a linear form.
\( Ax=b\)
\( X^{*}= \underset{x}{\mathrm{argmin}}= \|Ax-b\|^{2} =(A^{T}A)^{-1}A^{T}b \)

And testing the code:


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