Hello,
I used the curve fitting app to fit this equation to some data:
F./(m*sqrt((w0^2-w.^2).^2 + (g^2)*w.^2))
The constants for the equation are F, m, g and w0. w is the independent variable.
My starting points for the data were F = 0.8491, g = 0.9340, m = 0.6787, and w0 = 125.
The method chosen is "NonlinearLeastSquares" and the algorithm chosen is "Levenberg-Marquardt".
However, the fit doesn't fit all that well. Here's a picture.
dampedeqcurvefitnotgood.jpg
Any tips on how to improve this fit? The R squared value for this fit is around 0.73.
My start points for this fit we
Thanks!

답변 (1개)

Alex Sha
Alex Sha 2019년 4월 28일

1 개 추천

Where are your data?

카테고리

도움말 센터File Exchange에서 Get Started with Curve Fitting Toolbox에 대해 자세히 알아보기

제품

릴리스

R2018b

질문:

2019년 3월 24일

답변:

2019년 4월 28일

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