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<h5 class="subsubsection">A.5.3.3 IEEE Floating Point</h5>
<p><a name="index-IEEE-floating-point-representation-3810"></a><a name="index-floating-point_002c-IEEE-3811"></a>
Here is an example showing how the floating type measurements come out
for the most common floating point representation, specified by the
<cite>IEEE Standard for Binary Floating Point Arithmetic (ANSI/IEEE Std
754-1985)</cite>. Nearly all computers designed since the 1980s use this
format.
<p>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.
<p>So, for an implementation that uses this representation for the
<code>float</code> data type, appropriate values for the corresponding
parameters are:
<pre class="smallexample"> 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
</pre>
<p>Here are the values for the <code>double</code> data type:
<pre class="smallexample"> 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
</pre>
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