I don't want to re-invent the wheel, and I'm trying to code up something that does a Nelder-Mead simplex method to minimise a non-linear objective function. (I'm porting something I originally wrote in matlab, using the optimisation toolbox funciton fmins). Is there already something available to do this included in R? Do people have suggestions on the best way to do this? Thanks, Robert. ---- Robert King, Australian Environmental Studies, Griffith University, Australia Currently on Research leave (returning to Australia, end of January 2001) contact me by email Robert.King@mailbox.gu.edu.au http://www.ens.gu.edu.au/robertk/ linux: because a PC is a terrible thing to waste (ksh@cis.ufl.edu put this on Tshirts in '93) -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-devel-request@stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Optimisation methods
1 message · Robert.King@mailbox.gu.edu.au