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odeint function in SciPy

I was wondering what numerical method the odeint function is based on.
I have checked the documentation but couldnt find anything. I would be
very grateful if someone could answer this question for me, I'm not
looking for a heavy mathematical answer!

Cheers!

Ben

Jul 19 '05 #1
5 6790
FLChamp wrote:
I was wondering what numerical method the odeint function is based on.
I have checked the documentation but couldnt find anything. I would be
very grateful if someone could answer this question for me, I'm not
looking for a heavy mathematical answer!


You could also check the source or ask on the appropriate mailing list.

But since if you do the latter, you'll still get me, odeint uses ODEPACK.

http://www.netlib.org/odepack/opkd-sum

--
Robert Kern
rk***@ucsd.edu

"In the fields of hell where the grass grows high
Are the graves of dreams allowed to die."
-- Richard Harter

Jul 19 '05 #2
Thanks for the link! I think it has the information I want in it (the
numerical method eg Runge-Kutta). However I am not sure which of the
solvers listed within that file is used by odeint.

All I want to achieve is to write a few lines on the mathematical
method used by odeint for my college project.

Many Thanks
Jul 19 '05 #3
Ben Champion wrote:
Thanks for the link! I think it has the information I want in it (the
numerical method eg Runge-Kutta). However I am not sure which of the
solvers listed within that file is used by odeint.


LSODA

--
Robert Kern
rk***@ucsd.edu

"In the fields of hell where the grass grows high
Are the graves of dreams allowed to die."
-- Richard Harter

Jul 19 '05 #4
Thanks for your help! I don't suppose you happen to know what order
this method is?

Jul 19 '05 #5
FLChamp wrote:
Thanks for your help! I don't suppose you happen to know what order
this method is?


If your answer isn't in the docs I pointed you to or in the source, then
I don't know it. Happy hunting.

--
Robert Kern
rk***@ucsd.edu

"In the fields of hell where the grass grows high
Are the graves of dreams allowed to die."
-- Richard Harter

Jul 19 '05 #6

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