8-bit excess-127 binary index and a 23-bit mantissa.
The mantissa represents a number between 1.0 and 2.0. Because the high order mantissa is always
1, so it is not stored in digital form. This representation provides a range between -3.4E+38 and 3.4E+38 for the float type.
Examples of defining inputs and outputs are as follows:
Difference between floating-point type and double-precision type of extended data;
1. Exponent and mantissa
Because the exponent is stored in unsigned form, the deviation of the exponent is half of its possible value. For floating-point type, the deviation is127; For double type, the deviation is 1023. The actual index value can be calculated by subtracting the deviation value from the index value.
2. Floating-point type
If storage is more important than precision, consider using float type for floating-point variables. On the contrary, if precision is the most important condition, please use double type. Floating-point variables can be promoted to larger cardinality types (from floating-point types to double-precision types). When you perform arithmetic operations on floating-point variables, promotion usually occurs. The algorithm is always executed with the same precision as the variable with the highest precision.
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