Talk:Woodbury matrix identity

message: This article should begin by explaining what the Woodbury matrix identity is in general terms (what do C, U, V represent?), and what it is useful for. -- Tarquin 12:13, 14 Jan 2004 (UTC)
thread_title:  Intro 

message: What if  C^{-1}+VA^{-1}U = 0 (for k=1, C=I: VA^{-1}U = I)? --RainerBlome 22:07, 4 October 2005 (UTC)
thread_title:  What if <math> C^{-1}+VA^{-1}U = 0</math>? 

message: This one is a no brainer.  — Preceding unsigned comment added by 128.100.76.127 (talk) 13:47, 14 December 2011 (UTC)
replies: text: I think the Binomial inverse theorem article should be merged in here, because this article has more traffic:  12,435 vs. 2,493 views in the last 90 days.  DavidMCEddy (talk) 17:51, 16 January 2016 (UTC)
replies: text:  Klbrain (talk) 12:23, 27 January 2018 (UTC)
thread_title:  Merge with article on Binomial inverse theorem? 

message: Is a non-identity C matrix actually useful? It seems like C could easily be absorbed into the U or V matrices.  This has the benefit of trivializing the computation of C^{-1} = I  --Mborg (talk) 23:35, 9 May 2014 (UTC)
thread_title:  Is C useful? 

message: This looks like not too complex and natural extension of very well known Sherman-Morrison formula. Did Sherman or Morrison were aware of this? I did find a prior for this result: W.J. Duncan, “Some devices for the solution of large sets of simultaneous equations (with an appendix on the reciprocation of partitioned matrices)”, The London, Edinburgh and Dublin Philosophical  Magazine and Journal of Science, Seventh Series, 35, p. 660, (1944). I did found it as https://doi.org/10.1080/14786444408520897   . This was cited in https://arxiv.org/abs/1803.10405v1 / https://arxiv.org/pdf/1803.10405.pdf , which is reprint/reedit on arxiv from "A Sherman-Morrison-Woodbury Identity for Rank Augmenting Matrices with Application to Centering", Kurt S. Riedel, which originally appeared in SIAM J. MAT.ANAL. Vol. 12, No. 1, pp. 80–95, January 1991; and in SIAM Journal on Numerical Analysis Vol. 31, No. 4 (Aug., 1994), pp. 1219-1225. I believe this is https://doi.org/10.1137/0613040 ,  This is the same journal where in 1989, the other paper appeared: W.W. Hager, “Updating the inverse of a matrix”, SIAM Review, 31, p.221, (1989); that focused on the Woodbury identity. https://doi.org/10.1137/1031049 Also there is Bartlett's identity (~1951?), which does have similarities. Professor Duncan even in the abstract of his paper from 1944, states that the method is not new in principle, but he simply made a new clean and general formulation. Considering that Sherman-Morrison published their papers on their results in 1949 and 1950, it would be worth exploring the history more, as their results were apparently not novel. Looking at the citations in their paper, there is no mention or citations of even closely similar methods, indicating possibly they were not aware of any previous results in this area. Some other earlier papers to check -  https://www.jstor.org/stable/2235999  , as they do have many useful methods and additional references.
 2A02:168:F609:0:93EE:57FD:B2FA:71FB (talk) 13:13, 11 April 2019 (UTC)
thread_title:  History? 

message: This claim in the introduction does not seem to be sufficiently well cited (the citation points to a Stack Overflow question): 
"The Woodbury matrix identity allows cheap computation of inverses and solutions to linear equations. However, little is known about the numerical stability of the formula. There are no published results concerning its error bounds.[citation needed] Anecdotal evidence suggests that it may diverge even for seemingly benign examples (when both the original and modified matrices are well-conditioned)."
I think it should be removed. The-erinaceous-one (talk) 09:28, 4 December 2023 (UTC)
thread_title:  Dubious claim regarding numerical accuracy 

message: I think this article is inappropriately negative. The formula (and the Sherman-Morrison-Woodbury) are heavily used. I agree with @The-erinaceous-one that it seems very dubious. Ldm1954 (talk) 06:19, 15 April 2024 (UTC)
thread_title:  Why so negative