[Rd] Optimisation methods
Prof Brian D Ripley
ripley@stats.ox.ac.uk
Thu, 30 Nov 2000 18:48:28 +0000 (GMT)
On Fri, 1 Dec 2000 Robert.King@mailbox.gu.edu.au wrote:
> 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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