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In problems with many points, increasing the degree of the polynomial fit using polyfit does not always result in a better fit. High-order polynomials can be oscillatory between the data points, leading to a poorer fit to the data. In those cases, you might use a low-order polynomial fit (which tends to be smoother between points) or a different technique, depending on the problem. I have been fitting linear least-squares polynomials to data using the polyfit function in matlab. From what I read, this uses standard polynomial basis (monomial basis). I have read that using Chebyshev polynomial basis to fit leads to greater numerical stability so I would like to do this. Mar 03,  · How do I plot the first four Chebychev Learn more about matlab, chebychev, polynomial MATLAB.

# Chebyshev polynomial fit matlab

## see the video Chebyshev polynomial fit matlab

Chapter 13: Polynomial Curve Fitting in MATLAB, time: 8:49
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