On Thu, Oct 27, 2011 at 9:35 PM, Robert Walton <[email protected]> wrote:
> Thanks for the pointer. I put a version of fminbnd.m into Agora
> Octave http://agora.panocha.org.mx/snippet/yjOe/ , titled "fminbnd with
> parameters". This is exactly the same code I couldn't get to run the other
> day because it kept giving a print_usage message. With no changes other
> than a couple of days and maybe a reboot of my machine, it works perfectly.
> Any explanation for that? Example call:
> p=fminbnd('test',0,10,optimset,1,2)
> Function "test" is:
> function obj=test(in,p1,p2)
> obj=(in-p1)^2+(in-p2)^4
> This might be useful as an upgrade to Octave's fminbnd, as version
> 3.4.3rc0's fminbnd does not accept parameters.
> --
> Bob Walton
>
> On Tue, Oct 25, 2011 at 12:15 PM, Juan Pablo Carbajal <[email protected]>
> wrote:
>>
>> Hi,
>> Do not register. Just use the snippet section to post you code.
>>
>> JPi
>>
>> ...
Hi,
In the devel repository fminbnd seems to accept some options. Here the docstring
-- Function File: [X, FVAL, INFO, OUTPUT] = fminbnd (FUN, A, B,
OPTIONS)
Find a minimum point of a univariate function. FUN should be a
function handle or name. A, B specify a starting interval.
OPTIONS is a structure specifying additional options. Currently,
`fminbnd' recognizes these options: `"FunValCheck"', `"OutputFcn"',
`"TolX"', `"MaxIter"', `"MaxFunEvals"'. For description of these
options, see *note optimset: doc-optimset.
On exit, the function returns X, the approximate minimum point and
FVAL, the function value thereof. INFO is an exit flag that can
have these values:
* 1 The algorithm converged to a solution.
* 0 Maximum number of iterations or function evaluations has
been exhausted.
* -1 The algorithm has been terminated from user output
function.
See also: optimset, fzero, fminunc
Is this what you improved?
If you think there is more. Just upload the file to the Feature
request tracker
http://sourceforge.net/tracker/?group_id=2888&atid=352888
Cheers,
--
M. Sc. Juan Pablo Carbajal
-----
PhD Student
University of Zürich
http://ailab.ifi.uzh.ch/carbajal/
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