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Star Strider
Star Strider 2018년 12월 9일

2 개 추천

The easiest way is to not specify a y-intercept in the model you want to fit.
Example —
x = 0:2:100;
y = 3E+3 - (x-50).^2 + (x-50) + randn(1, numel(x))*50;
B = [x(:).^2 x(:)] \ y(:);
Y = [x(:).^2 x(:)] * B;
figure
plot(x, y, '.', x, Y, '-r')
grid
Here, x begins at 0, and not including a y-intercept in the model is the same as forcing it through 0.
Experiment to get the result you want, with your model and data.

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Davide Cerra
Davide Cerra 2018년 12월 9일
thank you,
is thera an easy way to impose constraints in the curve fitting toolbox?
Star Strider
Star Strider 2018년 12월 9일
My pleasure.
You can impose some constraints with lsqcurvefit and the other Optimization Toolbox functions. This depends on what you want to constrain.
I don’t have the Curve Fitting Toolbox. (I can do everything I need with the Optimization and Statistics and Machine Learning Toolboxes.)

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