Problem with the posted example using lsqcurvefit?
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I get the following error
Trial>> [x,resnorm] = lsqcurvefit(@myfun,x0,xdata,ydata);
Local minimum possible.
lsqcurvefit stopped because the final change in the sum of squares relative to its initial value is less than the default value of the function tolerance.
Optimization stopped because the relative sum of squares (r) is changing by less than options.TolFun = 1.000000e-06.
Optimization Metric Options relative change r = 9.32e-08 TolFun = 1e-06 (default)
If I try to change the TolFun in the options I start a chain requesting more iterations and more evaluations that do not stop..
Any idea what is failing? In the web it states that it converges in 27 iterations.
Thank you
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Star Strider
2015-5-29
That’s a Warning, not an Error. I suspect it throws that Warning if the residual norm is higher than some predetermined threshold when the function converges. In other circumstances, it would mean that experimenting with different initial parameter estimates would be appropriate.
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