THIS THING SUDDENLY WORKS
--> [fopt,p,gopt] = leastsq(iprint=2, #(p)->(LIN(p,i')-y') , p0); p
***** enters -qn code- (without bound cstr)
dimension= 2, epsq= 0.2220446049250313E-15, verbosity level: iprint=
2
max number of iterations allowed: iter= 100
max number of calls to costf allowed: nap= 100
------------------------------------------------
iter num 1, nb calls= 1, f= 348.9
iter num 2, nb calls= 3, f= 8.451
iter num 3, nb calls= 5, f= 3.886
iter num 4, nb calls= 6, f= 2.913
iter num 5, nb calls= 8, f= 2.913
iter num 6, nb calls= 23, f= 2.913
iter num 6, nb calls= 31, f= 2.913
***** leaves -qn code-, gradient norm= 0.4763135673514921E-09
optim: End of optimization.
p = [2x1 double]
0.2515611
2.3108774
> On 04.07.2025, at 03:32, Heinz Nabielek <[email protected]> wrote:
>
> Nonlinear least-squares fitting leastsq has worked well for me, but now it
> does not work. WHY?
> Heinz
>
> [i' y']
> 1. 2.2926212
> 2. 5.6416618
> 3. 6.8354947
> 4. 8.5651459
> 5. 11.640645
> 6. 14.978644
> 7. 16.87252
> 8. 18.989384
> 9. 20.894666
> 10. 22.903085
> p0=[2;3], // should be circa[0;2]
>
> function yhat=LIN(p, x)
> yhat=p(1)+p(2)*x
> endfunction
>
> [fopt,p,gopt]=leastsq(#(p)->(LIN(p,i'),y'),p0); p
> p = [2x1 double]
>
> 2.
> 3.
> // JUST WRONG
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