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 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 for solving dynamic > programs is its memory handling abilities. A senior researcher had a lot of > trouble with R becuase on any given run it would eat up all the computers > memory and need to start using the hard disk. Yet, the memory needed was not > substantial - saving the worksapce, exiting and recalling would noticebly > start of tthe progam at a much lower memory use, level and a quick > deteroration in a few thousand iterations. > > Is this a problem other people have come across? Perhaps, its a problem > already fixed, since the researcher was working on this in 2002 (he claimed > he had tried it on windows, mac, and unix versions to check). > > Thanks. > > Arnab > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
