Do physicists ever make use of Automatic Differentiation using Dual numbers? I find it useful sometimes.
if you're asking if we ever numerically find derivatives the answer is yes
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1/ My understanding of autograd is different to things like finite differences. The former is the kind used in ML where you decompose the function into primitives which have analytic derivatives and construct the chain rule graph.
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2/ Afaik this isn't done much in numerics in physics (at least it wasn't when I was doing it) because it's too slow, but might be wrong (about that, and the meaning of the other poster!)
End of conversation
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I meant symbolically. I figured it would see some use in software physicists write. I've only seen examples of symbolic usage in kinematics, though.
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