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Offline bdrunagle  
#1 Posted : 25 November 2016 22:08:21(UTC)
bdrunagle


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I was reminded by the posts in, New variable programmatically; also: Solving under/over defined system of linear eqautions,
that I'd recently used an algorithm for overdetermined systems that I'd unearthed in Wikipedia:

I've documented it's use very simply so that even I'll know how to use it next time it's needed. (memory gets a lot worse with ageSad ) Perhaps others will find it useful.

http://smath.info/wiki/G...LinearEquationSystems.sm

Brian
thanks 3 users thanked bdrunagle for this useful post.
on 25/11/2016(UTC),  on 26/11/2016(UTC),  on 26/11/2016(UTC)

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Offline Alex M.  
#2 Posted : 26 November 2016 00:11:04(UTC)
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Thanks alot; always good toclean up a worksheet from unnecessary plugin calls.
Offline Jean Giraud  
#3 Posted : 26 November 2016 01:52:59(UTC)
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The β snippet represents the 'Cholesky' solver, used directly
for fitting polynomials to noisy data set. It is also the basic
solver in association with the "Conjugate Gradient".

Polynomial fit.sm (51kb) downloaded 28 time(s). Genfit Minimize MODEL [Gauss ERRstem].sm (63kb) downloaded 21 time(s).
thanks 1 user thanked Jean Giraud for this useful post.
on 26/11/2016(UTC)
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