As the posting guide says, please read the help carefully before
posting. It does say:
‘maxit’ The maximum number of iterations. Defaults to ‘100’ for
the derivative-based methods, and ‘500’ for ‘"Nelder-Mead"’.
For ‘"SANN"’ ‘maxit’ gives the total number of function
evaluations. There is no other stopping criterion.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Defaults to ‘10000’.
so this is indicating 'successful convergence' as documented.
On Tue, 20 Oct 2009, Prof. John C Nash wrote:
I think SANN method in optim() is failing to report that it has not
converged. Here is an example
genrose.f<- function(x, gs=NULL){ # objective function
## One generalization of the Rosenbrock banana valley function (n parameters)
n <- length(x)
if(is.null(gs)) { gs=100.0 }
fval<-1.0 + sum (gs*(x[1:(n-1)]^2 - x[2:n])^2 + (x[2:n] - 1)^2)
return(fval)
}
xx<-rep(pi,10)
test<-optim(xx,genrose.f,method="SANN",control=list(maxit=1000,trace=1))
print(test)
Output is:
source("tsann.R")
sann objective function values
initial value 40781.805639
iter 999 value 29.969529
final value 29.969529
sann stopped after 999 iterations
$par
[1] 1.0135254 0.9886862 1.1348609 1.0798927 1.0327997 1.1087146 1.1642130
[8] 1.3038754 1.8628391 3.7569285
$value
[1] 29.96953
$counts
function gradient
1000 NA
$convergence
[1] 0 <------ THIS SHOULD BE 1 ACCORDING TO THE DOCS
It _should_ be 0 according to the help page.
$message
NULL
Note terribly important, but maybe fixable.
Cheers,
John Nash
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--
Brian D. Ripley, rip...@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 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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