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What is the difference between polyfit and curve fitting

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Masoud Ghanbari
Masoud Ghanbari am 20 Mär. 2013
Kommentiert: Armani am 8 Jan. 2024
Hi
What is the difference between polyfit and curve fitting ?
would you please see this page explain me these command:
modelFun = @(p,x) p(3) .* (x ./ p(1)).^(p(2)-1) .* exp(-(x ./ p(1)).^p(2));
startingVals = [10 2 5];
coefEsts = nlinfit(time, conc, modelFun, startingVals);
xgrid = linspace(0,20,100);
line(xgrid, modelFun(coefEsts, xgrid), 'Color','r');
And The Page Is:

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Shashank Prasanna
Shashank Prasanna am 21 Mär. 2013
I would encourage you to look at the documentation page of the functions you are you using to get a better idea of what each function is suited for.
POLYFIT:
As Matt J mentioned is used to fit polynomials
NLINFIT:
Is non linear fitting/regression for models that need not be polynomials, but can be. Go through the examples in the above links to get a better idea.
  3 Kommentare
Matt J
Matt J am 22 Mär. 2013
Bearbeitet: Matt J am 22 Mär. 2013
You need to decide first what kind of function gives a good model for your (x,y) data. If the (x,y) data come from a polynomial, use POLYFIT. If they come from a more complicated function, use NLINFIT.

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Matt J
Matt J am 20 Mär. 2013
POLYFIT applies to polynomial fitting only.
  1 Kommentar
Armani
Armani am 8 Jan. 2024
That's correct! POLYFIT is a function specifically designed for fitting polynomial curves to data.
POLYFIT returns the coefficients of the fitted polynomial. These coefficients can be used to create the equation of the polynomial curve, getaway shootout can then be used for various purposes such as prediction, interpolation, or smoothing.

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