Floating Point Arithmetic
The cluster focuses on the challenges, precision issues, and limitations of floating-point arithmetic in computing, including references to IEEE standards, common pitfalls, and alternatives like fixed-point math.
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Especially since it's using floating point arithmetic.
It also has opinions about floating point numbers.
We're used to inexact computing from floating point math.
Talk about floating point precision!
Floating point is only useful to the extent that it approximates real arithmetic.
Floating point is awful if you care about precision.
Obligatory: What Every Computer Scientist Should Know About Floating-Point Arithmetichttps://docs.oracle.com/cd/E19957-01/806-3568/ncg_goldberg.h...
Floating point has dramatic differences in semantics compared to exact numbers, not an invisible implementation detail at all.
floating point is hard. backwards compatibility is even harder
depends on your choice of floating point standard, you're right for the current IEEE one