Subject: Re: [boost] boost-test, why is there no DOUBLES_EQUAL?
From: Gennadiy Rozental (rogeeff_at_[hidden])
Date: 2011-05-31 00:29:31
Sebastian Nowozin <nowozin <at> gmail.com> writes:
> The values I compare come from a Monte Carlo procedure, and are
> guaranteed to lie within a certain absolute tolerance.
> I compare the Monte Carlo results against exact values. Numerical
> stability is not an issue as these values are within the range zero to
This is quite a big range. You can get values around 0.1 or around 1e-15. Will
you be using the same tolerance in these cases?
> Therefore, you can safely assume that absolute deviation is the
> criteria I want to use, and is popularly used in the literature for
> this purpose (the so called total variation distance). I do not want
> to use relative comparisons, in particular because normalizing by a
> very small value such as 1.0e-10 can happen in that case.
So? This will only make the comparison fair.
1e-10 and 2e-10 will differ by 1e-10, but the second value is twice as big.
0.9000000001 and 0.9000000002 differs only insignificantly.
How can you catch this difference with absolute comparison? BOOST_CHECK_CLOSE on
the other hand will work correctly.
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