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From: John Maddock (john_at_[hidden])
Date: 2007-05-05 05:12:29
Matthias Schabel wrote:
Many thanks for the summary Mattias.
> 1) Error handling is an issue that arises because this library is at
> the frontier between traditional numerical libraries and a
> (hopefully) new breed of such libraries that utilize modern
> programming techniques and facilities. Jeff Garland suggested that
> the default behavior should be to throw an exception, with errno
> being an option enabled by macro. It would also be nice to have more
> granular control over which instances throw exceptions and which do
> not (so, for example, a user could choose to ignore denormals). It
> was also suggested that additional, more transparent exceptions be
> provided for cases such as failure to converge rather than reusing
> tools::logic_error.
I'll raise a separate thread about this at some point, and see if there's a
consensus on what folks want.
> 2) Jeff Garland also pointed out, rightly in my opinion, that
> attempts to use statistical functions that do not exist for a
> distribution should fail to compile rather than leading to a runtime
> error (e.g. mean of a Cauchy distribution). A reasonable method of
> implementing this should be devised or a strong argument for why it
> is not feasible/desirable provided.
Will do.
> 3) Arnaldur Gylfason did some nice accuracy and performance testing
> vs. R. It was noted that the performance of quantile functions in
> this library was significantly worse than R, unlike non-quantile
> functions. He also pointed out that, for discrete distributions, the
> current behavior of returning fractional results for quantiles may
> not be the expected one. These issues should be addressed and
> documented.
I'll look into those, there were only a couple I think that were much
slower, could be they have better initial guesses for the numeric search.
I'll try and find out what R does.
> 4) Hubert Holin suggested the possibility of use of a policy
> parameter to choose between speed and accuracy. Another interesting
> possibility would be to allow the user to specify the desired
> precision either at compile or runtime.
That's quite a bit of work, but I'll certainly document it under the issues
list.
Seems like maybe we have a request to allow several extra parameters to the
functions at some point in the future:
* To control whether they throw or not.
* To control accuracy.
* To possibly return an error estimate.
All present difficult pro's and con's as to whether they should be compile
time or runtime parameters. Plus a lot of work! I'll try and think about
this some more, but in the mean time ideas (preferably with demo code!)
would be welcome.
> 5) It appears that this library will actually become two
> "sublibraries" within the Boost.Math library. Currently all code
> lives in the boost::math namespace; I would like to at least see a
> discussion of the possibility of having
> boost::math::special_functions, boost::math::statistics, and,
> perhaps, boost::math::statistics::distributions namespaces - as more
> functionality gets added to boost::math, collisions will become more
> likely, so some thought given now to logical partitioning may save
> pain later.
I'll start a separate discussion thread about that at some point, it's
something Paul and I have discussed before and come to no firm conclusion on
:-(
> During the review a number of typos and minor issues of documentation
> were raised, which the authors will need to address if they haven't
> already. In particular, John Phillips noted that the rationale behind
> using rational (vs. polynomial) approximations be clarified, the
> derivation of coefficients be documented, and the list of special
> functions in the documentation be expanded to encompass all functions
> actually implemented in the library. Stephan Tolksdorf requested a
> table listing standard statistical tests and the corresponding
> library implementations and enumerated a number of other
> documentation issues.
Will fix.
Cheers, John.
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