Actually, I import numpy in my code for array creation...in the documentation I did not manage to find anything that would solve this precision problem I mentioned however. If you're familiar with it, would you happen to know what capability of numpy might solve my problem?
On Fri, Mar 4, 2011 at 4:49 PM, Santoso Wijaya <santoso.wij...@gmail.com>wrote: > Have you taken a look at numpy? [1] It was written for exactly this kind of > usage. > > ~/santa > > [1] http://numpy.scipy.org/ > > > On Fri, Mar 4, 2011 at 2:32 PM, Jon Herman <jfc.her...@gmail.com> wrote: > >> Hello all, >> >> I am new to the Python language and writing a Runge-Kutta-Fellberg 7(8) >> integrator in Python, which requires an extreme numerical precision for my >> particular application. Unfortunately, I can not seem to attain it. >> The interesting part is if I take my exact code and translate it to Matlab >> code (so I use the exact same process and numbers), I get a far superior >> precision (the one I am expecting, in fact). This leads me to think I need >> to call a certain command in my Python script in order to make sure no >> truncation errors are building up over my integration. >> >> Has anyone had similar problems? Is there a difference between how Matlab >> and Python store numbers, and if so how do I make Python more accurate? >> >> I know there is a lot of packages out there, but this in fact overwhelmed >> me a little bit and seems to prevent me from finding the answer to my >> question, so I'm hoping someone with more experience will be able to >> enlighten me! >> >> Best regards, >> >> Jon >> >> -- >> http://mail.python.org/mailman/listinfo/python-list >> >> >
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