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Fri, 22 Apr 2011 07:36:22 -0700 (PDT)
I am new to Octave.
What I wish to do is to fit some experimental data to a model using the
I am using the root mean squared deviation (RMSD) as my merit function
(function to be minimized by Nelder-Mead).
I am trying to figure out how to use the function nelder_mead_min. I tried
searching the forum, but haven't found the answer to my question. I
apologize if I missed something in that search.
According to the information here:
the parameters that nelder_mead_min requires are the function name (as a
string), a list of arguments, and an optional vector of control variables.
I am having trouble with the list of arguments. What are these arguments?
My general understanding of the Nelder-Mead method is that it is started
with N+1 values defining the initial vertices of the simplex in an
N-dimension space. So, is this list of arguments that N+1 initial guesses
for that simplex? If I need to provide the function with other parameters
(not to be minimized by Nelder-Mead), how can I do that?
Thanks for any help!
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