Curve Fitting in Matlab: Harry's Experience

[H_man]

Hi,

I've just been trying unsuccessfully to fit a polynomial to a large set of data in Matlab (1301 points). I want to fit a polynomial to the data so that I have a function with which to try and manipulate the data in different ways.

I have no problem fitting polynomials to much smaller sets of data. I know that other curve fitting options exist, such as the moving average. However, it is my understanding that they do not return a function which can be used (so it seems it is just for presentation).

Has anyone had any experience with this?

Thanks,

Harry

 

[Dr Transport]

Do a search on the Mathworks web site, there is a bunch of code that can be looked at to help you along. Look in your numerical analysis text for Lagrange polynomials or spline curve fits.

 

[oswaler]

Hello Harry,

I'm sorry to hear that you have been having trouble fitting a polynomial to your large set of data in Matlab. Fitting curves to data can often be a challenging task, especially with a large number of data points.

One possible solution could be to try using a different curve fitting method, such as nonlinear least squares or spline interpolation, which may be better suited for your data set. Additionally, you may want to consider pre-processing your data to remove any outliers or smooth out any noise before fitting the curve.

I understand your concern about wanting to have a function that can be used for manipulation, and while some curve fitting methods may not return a function, they can still provide valuable insights and visualizations for your data. I would recommend exploring different options and experimenting with different parameters to find the best fit for your data.

I hope this helps and good luck with your curve fitting!