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