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Topic: Problem with "lsqnonlin" function in matlab
Replies: 6   Last Post: Sep 10, 2011 8:05 AM

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Posts: 93
Registered: 8/4/08
Re: Problem with "lsqnonlin" function in matlab
Posted: Sep 6, 2011 12:34 PM
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"fsalehi " <> wrote in message <j3nb0t$2ol$>...
> spasmous <> wrote in message <>...
> > On Aug 30, 12:34 am, "fsalehi " <> wrote:
> > > I  have a problem with 'lsqnonlin' function in matlab. I used it to optimizing this function:
> > >
> > >     objfun = @(z) y - ( z(5).*exp(-z(1).*(t-z(7)).^2).*cos(2*pi.*z(2).*(t-z(7))+z(3)) + z(6).*exp(-z(1).*(t-z(8)).^2).*cos(2*pi.*z(2).*(t-z(8))+z(4)) );
> > >
> > > % y is my signal and I optimize a guassian pulse function for Model Base Estimation
> > >
> > > options = optimset(options, 'MaxFunEvals', 10000, 'TolX', 1e-3, 'TolFun', 1e-2, 'MaxIter', 800, 'LargeScale', 'on', 'LevenbergMarquardt', 'on', 'DiffMaxChange', 1e-7, 'DiffMinChange', 1e-10, 'Display', 'off', 'Diagnostics', 'off');
> > >

> >
> > i would try Display 'iter' to see what is happening. TolFun seems kind
> > of large and DiffMaxChange kind of small. Aslo I'm not sure
> > LargeScale, LevMarq and bound constraints are all compatible either.

> I'm not sure too. but I dont know what setting I should use?

Regarding the LargeScale and LevenbergMarquardt settings, lsqnonlin will run the LargeScale (a.k.a. trust-region-reflective) algorithm since the parameters are constrained by bounds. This is not an issue.

I agree about the DiffMaxChange being too small. When your parameter (alpha) is on the scale of 1e13, then a difference of 1e-7 will be far too small to get an accurate finite-difference derivative estimate. What might be happening is that the derivative estimate for the first parameter may appear flat:

>> (1e13+1e-7) - 1e13
ans =


Try scaling the alpha parameter to be the same scale as the other parameters. Unfortunately, DiffMaxChange and DiffMinChange are one-size fits all options so increasing DiffMaxChange to a larger value may negatively affect your other parameters.


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