Numerical representation

[Jon Herman]

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.wijaya at 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.herman at 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
>>
>>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/python-list/attachments/20110304/90d4c0b6/attachment.html>