I am running a lot of optimization problems, at the moment using 'optim' ('optim' is actually called by another program). All of the problems have variables with simple upper and lower bounds, which I can easily transform into a form that is unconstrained and solve using 'BFGS'. But I was wondering is if it is more robust to solve the problem this way, or to use L-BFGS-B instead.
Also how much difference can it make using 'optimx' instead 'optim'? The program I am using (KFAS) allows this, I just have to do some extra programming to use it. Thanks, -Roy ********************** "The contents of this message do not reflect any position of the U.S. Government or NOAA." ********************** Roy Mendelssohn Supervisory Operations Research Analyst NOAA/NMFS Environmental Research Division Southwest Fisheries Science Center ***Note new street address*** 110 McAllister Way Santa Cruz, CA 95060 Phone: (831)-420-3666 Fax: (831) 420-3980 e-mail: roy.mendelss...@noaa.gov www: https://www.pfeg.noaa.gov/ "Old age and treachery will overcome youth and skill." "From those who have been given much, much will be expected" "the arc of the moral universe is long, but it bends toward justice" -MLK Jr. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.