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Propagate uncertainty for any function #4

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giordano opened this issue Jun 9, 2016 · 0 comments
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Propagate uncertainty for any function #4

giordano opened this issue Jun 9, 2016 · 0 comments
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enhancement help wanted

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@giordano
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giordano commented Jun 9, 2016

Currently the package defines error propagation rules for known functions, but it would be great to allow for calculation of uncertainties of arbitrary functions.

This should be possible with a macro like

@macroname function(4.3 ± 0.4)

This calculates the value of function(4.3) and the associated approximated uncertainty using numerical derivatives or so, and finally construct the Measurement object function(4.3) ± uncertainty.
giordano added a commit that referenced this issue Jun 13, 2016
@giordano
Define @Uncertain macro to calculate uncertainty for any function
d68c4d2 
Limitation: function must take only one real argument.

The derivative is calculated using Calculus package.  We need numerical
derivatives because we want to support any possible function, not only
those implemented in Julia, so I don’t think automatic differentiation
is an option in this case.

Fixes issue #4.
@giordano giordano mentioned this issue Jun 18, 2016
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