Talk:Block matrix pseudoinverse

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Moved here from article section Row-wise partitioning in under-determined least squares
[Comment re. below: According to section "Derivation" above this method of calculating [A, B]+ for m>=n+p. Can it then be used for an underdetermined system where by definition m (size of x and equal to number of variables) > n+p (number of equations)?] — Preceding unsigned comment added by Loraof (talk • contribs) 21:40, 21 Februrary 2018 (UTC)

Reference for overdetermined?
I don't think the reference cited covers the overdetermined case? Or am I missing something simple? Billlion (talk) 22:09, 20 November 2018 (UTC)
 * Sorry I think it was my misunderstanding, I meant row wise and overdetermined. That is not in this article and I cant find similar results for that in the literature. Billlion (talk) 10:11, 21 November 2018 (UTC)

Merge this stub with Woodbury Matrix Identity
An entire article from one case-study? Probably should be filed and submerged under Woodbury matrix identity or a similar super-topic in Linear Algebra. — Preceding unsigned comment added by 129.93.68.165 (talk) 19:05, 16 November 2021 (UTC)

The expansion in the Derivation section is wrong
A left inverse of a matrix $X$ of full column rank has the form $(X^TX)^{-1}X^T$, a right inverse of a matrix $Y$ of full row rank has the form $Y^T(YY^T)^{-1}$. In the derivation for $\begin{bmatrix} A & B \end{bmatrix}^{-1}$ and $\begin{bmatrix} A^T \\ B^T \end{bmatrix}^{-1}$ those are not properly expanded. 2A02:810B:4540:B70:9DE7:8890:8E30:88A6 (talk) 21:01, 26 June 2024 (UTC)