Given a homogeneous linear least squares problem:(adsbygoogle = window.adsbygoogle || []).push({});

[tex]

A^{T}y=0

[/tex]

What is the difference between minimizing

[tex]

y^{T}AA^{T}y

[/tex] (the least square error)

and:

[tex]

y^{T}AA^{+}y=y^{T}A(A^{T}A)^{-1}A^{T}y

[/tex]

?

Thanks.

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# Homogeneous least squares

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