https://bugs.kde.org/show_bug.cgi?id=386800
uwesto...@web.de changed:
What |Removed |Added
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Severity|normal |major
--- Comment #3 from uwesto...@web.de ---
OK, let's assume the user got the idea that the parameter a has to be a low
value despite LP doesn't show him the fit function.
- Therefore let's fit with the parameters
a: "0.01", b and c with "1"
result: still not fit. So the fit routine in LP seems to have an error because
doing the same with MagicPlot leads to a nice fit result, see attached.
now it gets even worse:
- now use again
a: "0.01", b and c with "1"
but this time set a to be fixed.
result: one gets for the parameter a the value 1.79769e+308 although it was set
fixed and must not be changed during the fit.
I played a bit with fitting and because of this bug LP is not usable for me
regarding custom fits.
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