John Cremona wrote:
> 2009/2/27 Jason Grout <jason-s...@creativetrax.com>:
>> John Cremona wrote:
>>> I have just been to a colloquium talk by numerical analyst Nick Higham
>>> (Manchester) called "How to compute and not to compute a matrix
>>> exponential".  He has new methods which are now in mathematica, matlab
>>> and NAG but (apparantly) nowhere else.  He only seemed interested in
>>> getting good speed & precision to 16 decimals but (when I asked)
>>> confirmed that the methods should apply to give arbitrary precision.
>>>
>>> I just checked and see that Sage's  matrix exp() uses something stupid
>>> except over RDF/CDF where it uses a pade approximation method via
>>> numpy.  The method of the talk was a variant of that, the main trick
>>> being to use exactly the right order of Pade approx. so maximise
>>> precision and speed.
>>>
>>> I would like to know how good the numpy method is, and  whether it can
>>> be improved to this "state of the art" version at least for RDF.  Then
>>> it could be another selling point for Sage.
>>
>> Could you CC the numpy devlist as well on this?  It sounds exciting!
> 
> I will if you give me the address (or you can perhaps?).  It might be
> worth including Higham's URL:
> http://www.maths.manchester.ac.uk/~higham/  as he has lots of his
> talks up there including some which are similar to the one I heard.


I looked, and we actually use the scipy matrix exponential function.  I 
copied this message to the scipy dev list and CC'd you, John.

See: http://projects.scipy.org/pipermail/scipy-dev/2009-February/011427.html

FYI, the list is the scipy-dev list; see http://www.scipy.org/Mailing_Lists

Jason


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