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<title>Why use a high-precision library rather than built-in floating-point types?</title>
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<div class="titlepage"><div><div><h3 class="title">
<a name="math_toolkit.high_precision.why_high_precision"></a><a class="link" href="why_high_precision.html" title="Why use a high-precision library rather than built-in floating-point types?">Why use
a high-precision library rather than built-in floating-point types?</a>
</h3></div></div></div>
<p>
For nearly all applications, the built-in floating-point types, <code class="computeroutput"><span class="keyword">double</span></code> (and <code class="computeroutput"><span class="keyword">long</span>
<span class="keyword">double</span></code> if this offers higher precision
than <code class="computeroutput"><span class="keyword">double</span></code>) offer enough precision,
typically a dozen decimal digits.
</p>
<p>
Some reasons why one would want to use a higher precision:
</p>
<div class="itemizedlist"><ul class="itemizedlist" style="list-style-type: disc; ">
<li class="listitem">
A much more precise result (many more digits) is just a requirement.
</li>
<li class="listitem">
The range of the computed value exceeds the range of the type: factorials
are the textbook example.
</li>
<li class="listitem">
Using double is (or may be) too inaccurate.
</li>
<li class="listitem">
Using long double (or may be) is too inaccurate.
</li>
<li class="listitem">
Using an extended precision type implemented in software as <a href="http://en.wikipedia.org/wiki/Double-double_(arithmetic)#Double-double_arithmetic" target="_top">double-double</a>
(<a href="http://en.wikipedia.org/wiki/Darwin_(operating_system)" target="_top">Darwin</a>)
is sometimes unpredictably inaccurate.
</li>
<li class="listitem">
Loss of precision or inaccuracy caused by extreme arguments or cancellation
error.
</li>
<li class="listitem">
An accuracy as good as possible for a chosen built-in floating-point
type is required.
</li>
<li class="listitem">
As a reference value, for example, to determine the inaccuracy of a value
computed with a built-in floating point type, (perhaps even using some
quick'n'dirty algorithm). The accuracy of many functions and distributions
in Boost.Math has been measured in this way from tables of very high
precision (up to 1000 decimal digits).
</li>
</ul></div>
<p>
Many functions and distributions have differences from exact values that
are only a few least significant bits - computation noise. Others, often
those for which analytical solutions are not available, require approximations
and iteration: these may lose several decimal digits of precision.
</p>
<p>
Much larger loss of precision can occur for <a href="http://en.wikipedia.org/wiki/Boundary_case" target="_top">boundary</a>
or <a href="http://en.wikipedia.org/wiki/Corner_case" target="_top">corner cases</a>,
often caused by <a href="http://en.wikipedia.org/wiki/Loss_of_significance" target="_top">cancellation
errors</a>.
</p>
<p>
(Some of the worst and most common examples of <a href="http://en.wikipedia.org/wiki/Loss_of_significance" target="_top">cancellation
error or loss of significance</a> can be avoided by using <a class="link" href="../stat_tut/overview/complements.html" title="Complements are supported too - and when to use them">complements</a>:
see <a class="link" href="../stat_tut/overview/complements.html#why_complements">why complements?</a>).
</p>
<p>
If you require a value which is as accurate as can be represented in the
floating-point type, and is thus the closest representable value and has
an error less than 1/2 a <a href="http://en.wikipedia.org/wiki/Least_significant_bit" target="_top">least
significant bit</a> or <a href="http://en.wikipedia.org/wiki/Unit_in_the_last_place" target="_top">ulp</a>
it may be useful to use a higher-precision type, for example, <code class="computeroutput"><span class="identifier">cpp_dec_float_50</span></code>, to generate this value.
Conversion of this value to a built-in floating-point type ('float', <code class="computeroutput"><span class="keyword">double</span></code> or <code class="computeroutput"><span class="keyword">long</span>
<span class="keyword">double</span></code>) will not cause any further
loss of precision. A decimal digit string will also be 'read' precisely by
the compiler into a built-in floating-point type to the nearest representable
value.
</p>
<div class="note"><table border="0" summary="Note">
<tr>
<td rowspan="2" align="center" valign="top" width="25"><img alt="[Note]" src="../../../../../../doc/src/images/note.png"></td>
<th align="left">Note</th>
</tr>
<tr><td align="left" valign="top"><p>
In contrast, reading a value from an <code class="computeroutput"><span class="identifier">std</span><span class="special">::</span><span class="identifier">istream</span></code>
into a built-in floating-point type is <span class="bold"><strong>not guaranteed</strong></span>
by the C++ Standard to give the nearest representable value.
</p></td></tr>
</table></div>
<p>
William Kahan coined the term <a href="http://en.wikipedia.org/wiki/Rounding#The_table-maker.27s_dilemma" target="_top">Table-Maker's
Dilemma</a> for the problem of correctly rounding functions. Using a
much higher precision (50 or 100 decimal digits) is a practical way of generating
(almost always) correctly rounded values.
</p>
</div>
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Distributed under the Boost Software License, Version 1.0. (See accompanying
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