Are Hermite Polynomials Always Cubic When Used for Interpolation?

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Hermite interpolation polynomials are not necessarily cubic; they can take various forms depending on the constraints applied. The discussion highlights that a cubic polynomial can be constructed to satisfy specific conditions at two points, including function values and derivatives. This involves solving four equations for four unknowns, which is the foundation of cubic splines. While cubic polynomials can be used for interpolation, they are not the only option available. The conversation emphasizes the flexibility of Hermite polynomials beyond just cubic forms.
ice109
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are hermite interpolationg polynomials necessarily cubic even when used to interpolate between two points?

this page would have me believe so in calling it a "clamped cubic" :

http://math.fullerton.edu/mathews/n2003/HermitePolyMod.html
 
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It's more the case that there exists a cubic polynomial of the form:

a x3 + b x2 + c x + d, which satisfies the constraints at two points, (x0, y0) and (x1, y1), where

p(x0) = f(x0) = y0

p(x1) = f(x1) = y1

and

p'(x0) = f'(x0) = y'0

p'(x1) = f'(x1) = y'1

4 equations, and 4 unknowns (a, b, c, d)

This is the basis of the cubic spline.
 
i think given that argument for some groups of points with slopes the minimum curve that goes through both is a cubic.
 
anyone?
 
Good morning I have been refreshing my memory about Leibniz differentiation of integrals and found some useful videos from digital-university.org on YouTube. Although the audio quality is poor and the speaker proceeds a bit slowly, the explanations and processes are clear. However, it seems that one video in the Leibniz rule series is missing. While the videos are still present on YouTube, the referring website no longer exists but is preserved on the internet archive...

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