Re: Limitations of Curve Fitting Toolbox
- From: Torsten Hennig <Torsten.Hennig@xxxxxxxxxxxxxx>
- Date: Sat, 22 Aug 2009 06:44:03 EDT
Torsten Hennig <Torsten.Hennig@xxxxxxxxxxxxxx> wrote
in message
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mathforum.org>...
wrote
Torsten Hennig <Torsten.Hennig@xxxxxxxxxxxxxx>
<49178287.18261.1250862076099.JavaMail.root@xxxxxxxxxxin message
versionthforum.org>...
Hi,
In the technical documentation p 2-22 for
and2
length,of the curve fitting toolbox it says that.
All selected variables must be of the same
also you can only import vectors not matrices
andscalars.
If there a way round this limitation?
I have one vector of independent variables
likethe
have asame number of dependent variables. However I
series of the dependent varaibles and would
overallto
find the set of parameters that gives the
Isbest fit to these series of observed values.
asthere
box?a way to do this using the curve fitting tool
Just repeat the vector of independent variables
variablesoften as you have measured the dependent
series ofin your series.Hi,
Best wishes
Torsten.
Would this give me one global best fit or a
fits to each days data?
I really need one global best fit.
Thanks
Hugh
I suggested to use _all_ the data (with repeating
independent variables) in _one_ optimization.
This will of course give you a global best fit
(because you only get back one set of parameters).
Best wishes
Torsten.
Thank you so so much for this!!!
Can you please explain to me how to set the problem
up like this?
thanks
Hugh
Use lsqnonlin or lsqcurvefit from the optimization
toolbox.
Best wishes
Torsten.
.
- References:
- Re: Limitations of Curve Fitting Toolbox
- From: Hugh
- Re: Limitations of Curve Fitting Toolbox
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