1. This is not an R question. Post on a statistics or optimization list.
2. However, I would note that if what you mean by "multimodal"solution
is that there is more than one value that gives the "same" optimal
value (within numerical error?) then, probably no: An optimization
function by definition finds THE optimum (within numerical error)
value.
A standard approach is to use different starting values to seek
"better" (/"different") "optima."
If I have misunderstood, disregard. Also disregard if others with real
expertise (e.g. John Nash) respond.
Cheers,
Bert
On Fri, Oct 18, 2013 at 9:40 AM, Jonathan Thayn <jthayn at ilstu.edu>
wrote:> Hello all
>
> I've been performing a series of multidimensional optimizations (3
variables) using the optima() function. Recently, I noticed that the solution is
rarely unimodal. Is there a package or function that handles multimodal
multidimensional optimizations? I really appreciate any suggestions, I'm
quite a bit beyond my expertise here. Thanks.
>
>
>
> Jonathan B. Thayn, Ph.D.
>
> Ridgely Fellow of Geography
> Department of Geography ? Geology
> Illinois State University
> Felmley Hall of Science, Rm 200A
> Normal, IL 61790
>
> jthayn at ilstu.edu
> my.ilstu.edu/~jthayn
>
>
>
>
>
> [[alternative HTML version deleted]]
>
>
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--
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374