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IIRC, it's a speed hack in the IEEE floating point standard.

NaN can happen for a lot of different reasons. You might have divided by zero because your code is broken, or you might have divided by epsilon because your algorithm isn't stable on this problem. [1]

This test checks to make sure none of {f, g, x, y, intermediate_values} were ever NaN, wihtout having to test each one every step of the way.

    if (  f(x) == g(y)  )
Which is a big deal if it's the guard on an inner loop in some numerical code.

[1] I'm fuzzy on the details. Corrections solicited.



If it's just a debugging trick, though, then speed hacks seem less useful.




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