Optimisation methods

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?

optim(method="Nelder-Mead")

Now how did this not come up in a search: perhaps because of the way you
spell optimization?  I have

help.search("optimisation")

No help files found with name or title matching `optimisation'

help.search("optimization")

Help files with name or title matching `optimization':

partition(multiv)          Partitioning by Iterative Optimization 
lmeScale(nlme)             Scale for lme Optimization
portfolio.optim(tseries)   Portfolio Optimization
optim(base)                General-purpose Optimization
optimize(base)             One Dimensional Optimization

which shows we probably need to find a way to check variant spellings.

(BTW: just in case anyone tells me the British spell with an `ise', the
Oxford English Dictionary does not.)

Brian D. Ripley,                  ripley@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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