Lecture 24 (Map 7)
Projection in Rn:
p=U U^T x
where the column vectors of U consists of the orthonormal basis of the subspace S
Best approximation theorem
Least squares problems
p=U U^T x
where the column vectors of U consists of the orthonormal basis of the subspace S
Best approximation theorem
Least squares problems
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