[R] How to solve differential equations with a delay (time lag)?
Ravi Varadhan
rvaradhan at jhmi.edu
Wed Nov 29 23:09:33 CET 2006
Hi,
I would like to add an additional piece of information to my previous
posting:
y[1](t) = 0, for all t in the interval (-delay, 0)
This completes the specification of the problem.
Thanks,
Ravi.
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Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvaradhan at jhmi.edu
Webpage: http://www.jhsph.edu/agingandhealth/People/Faculty/Varadhan.html
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-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Ravi Varadhan
Sent: Wednesday, November 29, 2006 4:45 PM
To: r-help at stat.math.ethz.ch
Subject: [R] How to solve differential equations with a delay (time lag)?
Hi,
I would like to solve a system of coupled ordinary differential equations,
where there is a delay (time lag) term. I would like to use the "lsoda"
function "odesolve" package. However, I am not sure how to specify the
delay term using the syntax allowed by odesolve.
Here is an example of the kind of problem that I am trying to solve:
> library(odesolve)
yprime <- function(t, y, p) { # this function
yd1 <- p["k1"] *(t <= p["T"]) - p["k2"] * y[2]
yd2 <- p["k3"] * y[1](t - p["delay"]) - p["k4"] * y[2] # this is not
syntactically valid, but it is what I would like to do
list(c(yd1,yd2))
}
times <- seq(0,30,by=0.1)
y0 <- c(0,0)
parms <- c(k1=0.7, k2=0.5, k3=0.2, k4=0.8, T=10, delay=5)
Is there a way to incorporate delay in odesolve?
Any hints would be much appreciated.
Ravi.
----------------------------------------------------------------------------
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvaradhan at jhmi.edu
Webpage: http://www.jhsph.edu/agingandhealth/People/Faculty/Varadhan.html
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