Number systems are mathematical notations for representing numbers using digits or symbols in a consistent manner.
1 utf32 = 1 f64
1 f64 = 1 utf32
Example:
Convert 15 UTF-32 to IEEE 754 Double Precision:
15 utf32 = 15 f64
UTF-32 | IEEE 754 Double Precision |
---|---|
0.01 utf32 | 0.01 f64 |
0.1 utf32 | 0.1 f64 |
1 utf32 | 1 f64 |
2 utf32 | 2 f64 |
3 utf32 | 3 f64 |
5 utf32 | 5 f64 |
10 utf32 | 10 f64 |
20 utf32 | 20 f64 |
30 utf32 | 30 f64 |
40 utf32 | 40 f64 |
50 utf32 | 50 f64 |
60 utf32 | 60 f64 |
70 utf32 | 70 f64 |
80 utf32 | 80 f64 |
90 utf32 | 90 f64 |
100 utf32 | 100 f64 |
250 utf32 | 250 f64 |
500 utf32 | 500 f64 |
750 utf32 | 750 f64 |
1000 utf32 | 1,000 f64 |
10000 utf32 | 10,000 f64 |
100000 utf32 | 100,000 f64 |