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How would you go about analytically finding the nth derivative in the form:

$$\frac{d^{n}\left(\frac{a(x)}{b(x)}\right)}{dx^{n}}$$

given that we know the equations for

$\frac{d^na}{dx^n}$ and $\frac{d^nb}{dx^n}$

Any help would be greatly appreciated! :)

Edit: To give some context, I am working on some python code that should calculate $$\frac{d^{n}\left(\frac{a(x)}{b(x)}\right)}{dx^{n}}$$

I have an array of values for $a$ and for $b$. I am able to calculate arrays of values for $\frac{d^na}{dx^n}$ and for $\frac{d^nb}{dx^n}$.

Vivi
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    See https://en.wikipedia.org/wiki/General_Leibniz_rule – lhf Nov 25 '21 at 13:38
  • Possible duplicate of https://math.stackexchange.com/questions/5357/whats-the-generalisation-of-the-quotient-rule-for-higher-derivatives – lhf Nov 25 '21 at 16:25

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