#### A.5.3.3 IEEE Floating Point ¶

Here is an example showing how the floating type measurements come out for the most common floating point representation, specified by the IEEE Standard for Binary Floating Point Arithmetic (ANSI/IEEE Std 754-1985). Nearly all computers designed since the 1980s use this format.

The IEEE single-precision float representation uses a base of 2. There is a sign bit, a mantissa with 23 bits plus one hidden bit (so the total precision is 24 base-2 digits), and an 8-bit exponent that can represent values in the range -125 to 128, inclusive.

So, for an implementation that uses this representation for the `float` data type, appropriate values for the corresponding parameters are:

    FLT_RADIX                             2
    FLT_MANT_DIG                         24
    FLT_DIG                               6
    FLT_MIN_EXP                        -125
    FLT_MIN_10_EXP                      -37
    FLT_MAX_EXP                         128
    FLT_MAX_10_EXP                      +38
    FLT_MIN                 1.17549435E-38F
    FLT_MAX                 3.40282347E+38F
    FLT_EPSILON             1.19209290E-07F

Here are the values for the `double` data type:

    DBL_MANT_DIG                         53
    DBL_DIG                              15
    DBL_MIN_EXP                       -1021
    DBL_MIN_10_EXP                     -307
    DBL_MAX_EXP                        1024
    DBL_MAX_10_EXP                      308
    DBL_MAX         1.7976931348623157E+308
    DBL_MIN         2.2250738585072014E-308
    DBL_EPSILON     2.2204460492503131E-016