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From: "Bruno Luong" <b.luong@fogale.findmycountry>
Newsgroups: comp.soft-sys.matlab
Subject: regularized SVD on a sparse matrix.
Date: Wed, 18 Mar 2009 11:14:01 +0000 (UTC)
Organization: FOGALE nanotech
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"Roger Stafford" <ellieandrogerxyzzy@mindspring.com.invalid> wrote in message <gpq6u0$aj4$1@fred.mathworks.com>...
> "Bruno Luong" <b.luong@fogale.findmycountry> wrote in message <gpq61q$bap$1@fred.mathworks.com>...
> > What is "regularized svd"?
> > Bruno
> 
>   There's a discussion about it in this site:
> 
>  http://alias-i.com/lingpipe/demos/tutorial/svd/read-me.html
> 
> I don't know if Mathworks has any function that uses this method.
> 
> Roger Stafford

I read quickly this site, but I'm still unsure where as it is just Tikhonov regularization applied on the least square or not. If it is the case, then regularized SVD is nothing more nothing less than adding a constant in the diagonal of matrix S.

Am I completely off?

Bruno