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The question was about automatic differentiation vs the method in the article (the complex step method) which is essentially a defective variant of automatic differentiation with a spurious numerical parameter.

Automatic differentiation works for any composition of those ‘simplest functions’ you mention, which is quite a lot of stuff, including whole programs.

Approximation methods have their place, sure. Sometimes they're good enough and sometimes it's all you can do. What does that have to do with anything?




Thanks for the link, btw. I'm in the process of digesting the paper.


I was objecting to the suggestion that the complex finite differencing scheme was worthless ("legacy") and automatic differentiation is all we should ever do from now on.




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