Charles R Harris
Wed Aug 15 20:58:48 CDT 2012
On Sun, Aug 12, 2012 at 1:49 PM, nicky van foreest <email@example.com>wrote:
> Hi Rob,
> Thanks for the suggestion. I didn't think of using splines.
> On 10 August 2012 10:09, Rob Clewley <firstname.lastname@example.org> wrote:
> > Hi,
> > On Thu, Aug 9, 2012 at 2:15 PM, nicky van foreest <email@example.com>
> >> I am using odeint to integrate the following delay differential equation
> >> df/dx = c + f(x) - f(x-1)
> >> somewhat cumbersome. Is it possible in odeint to somehow get
> >> intermediate values of the function values?
> > Nicky, I think your easiest way ahead here is to use a spline to fit
> > your previous intervals' solution function, building up your solution
> > using one that meets values and first derivatives at the end points to
> > retain smoothness as you go. Scipy offers several such spline tools.
> > Then you can sample that to your heart's content.
> > --
> > Robert Clewley, Ph.D.
> > Assistant Professor
> > Neuroscience Institute and
> > Department of Mathematics and Statistics
> > Georgia State University
> > PO Box 5030
> > Atlanta, GA 30302, USA
Depending on the time interval, it might work to treat the equation as a
Chebyshev series by using its values at the Chebyshev points. Both the
derivative and the delay are then linear operators that can be represented
by matrices, see Trefethen's
differentiation matrices. The boundary conditions might be a bit
tricky, but you don't mention how you handle the delay there.
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