Berend Hasselman wrote:
If you do
resopt - optim(-5,f, method=SANN,control=list(fnscale=-1))
you will get the global maximum. SANN: simulated annealing. But starting
in -4 takes you to the local maximum.
So if I understand correctly, this method would also yield the same
sort of result
Hi Ravi!
Ravi Varadhan wrote:
Yes. Most classical optimization methods (e.g. gradient-type,
Newton-type) are local, i.e. they do not attempt to locate the
global optimum.
Ah .. I see.
The primary difficulty with global optimization is that there are no
mathematical conditions that
Hello Berend,
Berend Hasselman wrote:
Your function is not unimodal.
The help for optimize states:
If f is not unimodal, then optimize() may approximate a local, but perhaps
non-global, minimum to the same accuracy.
Ah ok, I didn't read the manual page carefully enough.
Do you know if R
On 24-05-2009, at 14:24, Esmail wrote:
Hello Berend,
Berend Hasselman wrote:
Your function is not unimodal.
The help for optimize states: If f is not unimodal, then
optimize() may approximate a local, but perhaps
non-global, minimum to the same accuracy.
Ah ok, I didn't read the manual
.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: Esmail esmail...@gmail.com
Date: Sunday, May 24, 2009 8:27 am
Subject: Re: [R] using optimize
Hi,
I am trying to use the optimize function to optimize a function. The
results I am getting don't agree with what I compute on my own and
when I look at the graph of
f(x) = 100 + ((x-10)**2 + (x-10)) * cos(x-10), where -10 = x = 10
in gnuplot.
I suspect I am making a mistake in the
Esmail Bonakdarian-4 wrote:
Hi,
I am trying to use the optimize function to optimize a function. The
results I am getting don't agree with what I compute on my own and
when I look at the graph of
f(x) = 100 + ((x-10)**2 + (x-10)) * cos(x-10), where -10 = x = 10
in gnuplot.
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