The central difference approximation of finite y' (x) is
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Step-by-step explanation:
The central difference approximation is then f′(x)≈f(x+h)−f(x−h)2h. Suppose you have a discrete approximation, y, to a function, f(x), which is in principle continuous but for which you only have some selection of data points: yi=f(xi), where xi may or may not be equally spaced.
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