Scroll back in this discussion. The math/arithmetic problems, other than 
getting good symbolic expression, have been solved in the "uncertainties" 
package ( http://pypi.python.org/pypi/uncertainties/) you mentioned before.

Jonathan

On Friday, March 30, 2012 7:11:20 PM UTC-5, Eviatar wrote:
>
> The auto-update should be easy to implement. However, now that I've looked 
> into error propagation, an interval seems like a very wrong way to 
> represent uncertainty in physical measurements (apparently Mathematica does 
> *not* do this; I don't know why I thought that). So the only alternative 
> I see is to just have the nominal value, which is not ideal. I'll see how 
> difficult it is to implement the error propagation; for now the only 
> problems seem to be finding correlation between variables (otherwise you 
> get strange things like x-x!=0, when x is a number with uncertainty).
>
> @Keshav Kini
> Not exactly. Although it is a probability distribution, the bounds 
> *are*strict; one standard deviation (at least in the case of the NIST 
> constants). The way operations are handled is just different; see 
> http://chemwiki.ucdavis.edu/Analytical_Chemistry/Quantifying_Nature/Propagation_of_Error
> .
>

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