Derivatives with the finite difference method #math #python

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How do you take derivatives of numerical data? Here's the basic idea for the first and second derivative using the finite difference method.
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That reminded me of numerical formulae for Laplace operator. I think about it, any obvious formula would be very biased for axial directions

these formulae exist, I've seen them in Stigun

dzuchun
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That reminded me of numerical formulae for Laplace operator. If you think about it, any obvious formula would be very biased for axial directions

these formulae exist, I've seen them in Stegun

dzuchun
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I concidently used this today to make a particle move approximately across a path

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