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Topic: Fitting an equation to data using the Levenberg-Marquardt algorithm,
Replies: 2   Last Post: Feb 20, 2013 7:51 AM

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Registered: 11/8/10
Re: Fitting an equation to data using the Levenberg-Marquardt algorithm,
Posted: Feb 19, 2013 10:46 AM
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Nanna Pedersen <> wrote in message <>...
> Hi everyone.
> I am using lsqcurvefit to fit a signalequation to some data. I am using the Levenberg-Marqaurdt algorithm but would really like to put some boundary constraints on the output. The most important constraint is that all the output parameters are positive but I would like to constrain the values to certain ranges.
> lsqcurvefit does not accept boundary constraints for the Levenberg-Marquardt algorithm, so do any of you have an idea how I can cheat lsqcurvefit to accept boundary conditions indirectly somehow or (even better): do any of you know of another implementation in matlab?
> Thank you!
> Best regards, Nanna

Instead of the parameter p handed to you in the function routine of
lsqcurvefit, use
p'=(lb+ub)/2 + sin(p)*(ub-lb)/2
in the evaluation of your residuals.
Then p' ranges from lb to ub where lb is a lower bound and ub is an upper bound
for the parameter you want to fit.

Best wishes

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