[R] Solution to differential equation
davef at otter-rsch.com
Fri Dec 17 13:01:48 CET 2010
Ravi Varadhan wrote:
Because the numerical solution is more flexible. In the example I linked
population is being fished. This add an extra term which breaks your
I don't know where the OP is going with this question, but flexibility
useful. Also I just like the idea of fitting models defined by DE's to
> When you can obtain `exact' (but not closed-form) solution, why would you
> want to use a numerical ODE solver, which has an approximation error of the
> order O(dt) or O(dt^2), where `dt' is the time step? Furthermore, a
> significant advantage of an exact solution is that you can compute the
> solution at any given `t' in one shot, rather than having to march through
> time from t=t0 to t=t. Numerical time-marching schemes make more sense for
> systems of nonlinear ODEs.
> Ravi Varadhan, Ph.D.
> Assistant Professor,
> Division of Geriatric Medicine and Gerontology School of Medicine Johns
> Hopkins University
> Ph. (410) 502-2619
> email: rvaradhan at jhmi.edu
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
> Behalf Of dave fournier
> Sent: Friday, December 17, 2010 11:23 AM
> To: r-help at r-project.org
> Subject: Re: [R] Solution to differential equation
> It is not very difficult to integrate this DE numerically.
> For parameter estimation it is a good idea for
> stability to use a semi-implicit formulation. The idea is
> described here.
> R-help at r-project.org mailing list
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> and provide commented, minimal, self-contained, reproducible code.
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