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added reference to IEEE-754 #189

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4 changes: 3 additions & 1 deletion content/questions/floating-point-precision/index.md
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Expand Up @@ -25,4 +25,6 @@ console.log(a + b === c);

In computing, decimal numbers as we know them are most commonly represented using floating-point arithmetic. Floating-point numbers only approximate real numbers and cannot accurately represent numbers like `0.1`, `0.2` or `0.3` at all. In the case of `0.1 + 0.2`, this results in small rounding errors before we even get to the addition part. The final sum then equals to `0.30000000000000004`.

Similarly, the decimal system cannot represent `1/3` (one third) accurately. And if we took a rounded value like `0.333`, you wouldn't expect `0.333 + 0.333 + 0.333` to add up to `1`, either.
Similarly, the decimal system cannot represent `1/3` (one third) accurately. And if we took a rounded value like `0.333`, you wouldn't expect `0.333 + 0.333 + 0.333` to add up to `1`, either.

For more information check out [64-bit format IEEE-754, also known as “double precision floating point numbers”](https://en.wikipedia.org/wiki/IEEE_754-2008_revision).