Hi Matt, I am imagining such a library would be greatly useful for numerical scientists and statisticians for precise computing. Can you give us a toy example of how it works ? (Sorry this is my first time posting on the boost mailing list) - Please forgive me if I have violated any guidelines. *Rajaditya Mukherjee * *3rd Year Graduate Student* Dept. of Computer Science and Engineering The Ohio State University Columbus, Ohio Tel :- +1-(614)-271-4439 email :- rajaditya.mukherjee@gmail.com <mukherjee.62@osu.edu>, raj@rajaditya.com <mukherjr@cse.ohio-state.edu> On Thu, Sep 3, 2015 at 7:36 PM, Matt Calabrese <rivorus@gmail.com> wrote:
AFAICT the only function for calculating arithmetic mean in boost is in the accumulators library and it's not really appropriate for integral types. In practice, properly calculating the mean for a range (especially a range that's only an input range but not a forward range) is surprisingly tricky to do in a way that avoids overflow and provides an exact result. I have a couple of solutions, including one that works for input ranges.
Is this something that people would find useful? Is there a similar algorithm already implemented in boost that I'm not aware of? The approach I've taken yields an exact result as a mixed number and should work without overflow (assuming only that the range's size is able to be represented by its difference type). I believe the implementation that works for input ranges could theoretically be adapted to work with Boost.Accumulators, though I'm admittedly not too familiar with the library.
-- -Matt Calabrese
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