Optimization completed because the size of the gradient is less than the value of the optimality tolerance.

x=[0.0134 0.0260 0.0340 0.0457 0.0533 0.0587 0.0622 0.0694 0.0721 0.0757 0.0784 0.0801 0.0842]; y=[0.0000 0.0000 0.0000 0.0036 0.0230 0.0412 0.0884 0.2845 0.3946 0.4854 0.5495 0.5750 0.5931]; beta0=[0 0 0 0]; [p]=lsqcurvefit(@nihehanshu,beta0,x,y);

[Alan Weiss]

I don't know what your question is. The reported exit message is a good one, corresponding to an exit flag of 1. What is it you want to know? The exit message means lsqcurvefit reached a local minimum.

Alan Weiss

MATLAB mathematical toolbox documentation

Answer 1

[Alan Weiss]

I think that you are mistaking the exit message for the solution. The solution resides in the p variable that the solver returns.

Alan Weiss

MATLAB mathematical toolbox documentation