Re: lsode

[iason]

Some time ago I found out that if theory it is possible solve this task by
using scipy.integrate.ode (from SciPy, not from Octave). But I could not
find a way to get a solution from this function in admissible time. The
function scipy.integrate.ode uses VODE instead of LSODE and allows to solve
the ODE problem step-by-step. 

But when I tried to use the code from NumPy samples I found out that it is
too slow for practical used. I posted a question on this matter here

http://old.nabble.com/A-discrepancy-between-NumPy-documentation-and-recomendations-for-beginers-td26765626.html#a26765626

and wish to find some useful reply. By the way, don't you know, is it
possible to port ode15s function (Matlab) to NumPy or Octave or SciLab? The
manual and some articles I found say that ode15s function uses BDF algorithm
(on user demand) and similar NDF algorithm (by default). Are there any
technical or legal problem that prevents to create an OpenSource equivalent
of this very helpful function?


Marc Normandin wrote:
> 
> dmelliott wrote:
>> *  Is it possible to get the actual solution points that lsode uses
>> rather than just the regularly spaced ones generated by linspace for the
>> input?*
> 

-- 
View this message in context: 
http://old.nabble.com/lsode-tp19545666p26765743.html
Sent from the Octave - General mailing list archive at Nabble.com.