[Octave-bug-tracker] [bug #64361] sinc() return NaN on sinc(-1:0.20:1-0.20) expression

[Rik]

Follow-up Comment #32, bug #64361 (project octave):

And it will probably occur on AMD chips that offer a vector math processor as
well.  And every single processor will have a different way of disabling this
vectorization so that the the use of __attribute__ will be inordinately
complex.

It is very difficult to write high-level code when the same code (one
multiplication, one addition) produces different results based on whether it
is in a for loop or not.



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