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
] 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 that has been cited
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 by
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
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
environment. I was wondering if there were
[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 I
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
