> > there are undoubtedly still situations where R may require an unacceptably
> large amount of memory overhead. Recursion is one, I
> believe.
>
> One can avoid unacceptably large amount of memory overhead when doing
> recursion in R: either by passing parameters "by reference" using package
> re
h
Subject: [R] Dynamic Programming in R
Hi R users,
I am looking to numerically solve a dynamic program in the R environment. I was
wondering if there were people out there who had expereinced success at using R
for such applications. I'd rather continue in R than learn Mathlab.
A concern t
Gunter,
> there are undoubtedly still situations where R may require an unacceptably
large amount of memory overhead. Recursion is one, I
believe.
One can avoid unacceptably large amount of memory overhead when doing
recursion in R: either by passing parameters "by reference" using package
ref or
The lpSolve package can handle integer programming problems.
Here is an example of using dynamic programming in R from
first principles in another setting:
http://tolstoy.newcastle.edu.au/R/help/06/01/18845.html
On 1/19/06, Arnab mukherji <[EMAIL PROTECTED]> wrote:
> Hi R users,
>
> I am looking
[Arnab mukherji]
>A concern that has been cited that may discourage R use for solving
>dynamic programs is its memory handling abilities.
For a dynamic programming problem defined over N steps, one usually
needs a N*N matrix, so problems should be tractable for N being "not too
big". In those
[EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Arnab mukherji
> Sent: Thursday, January 19, 2006 1:55 PM
> To: r-help@stat.math.ethz.ch
> Subject: [R] Dynamic Programming in R
>
> Hi R users,
>
> I am looking to numerically solve a dynamic program in the R
>
Hi R users,
I am looking to numerically solve a dynamic program in the R environment. I was
wondering if there were people out there who had expereinced success at using R
for such applications. I'd rather continue in R than learn Mathlab.
A concern that has been cited that may discourage R use
