I believe nlminb() performs *constrained* optimization, where as nlm() is for *unconstrained* opimization
So I guess nlm() is for solving min(f[a,b]), and nlminb() min(f[a,b]) given a+b <= c FYI I think optim() also does constrained optimization, well I've used for min(f[a,b]) given a <= a* and b <= b*. David ae2356 wrote: > > > Hi, > > I was wondering if someone could give a brief, big picture overview of the > difference between the two optimization functions nlm and nlminb. I'm not > familiar with PORT routines, so I was hoping someone could give an > explanation. > > Thanks, > Angelo > _________________________________________________________________ > Instantly invite friends from Facebook and other social networks to join > yo > https://www.invite2messenger.net/im/?source=TXT_EML_WLH_InviteFriends > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- View this message in context: http://www.nabble.com/difference-between-nlm-and-nlminb-tp17769859p17772440.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
