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Subject: [Boost-commit] svn:boost r76486 - in sandbox/big_number: boost/multiprecision boost/multiprecision/detail libs/multiprecision/doc libs/multiprecision/doc/html libs/multiprecision/doc/html/boost_multiprecision libs/multiprecision/doc/html/boost_multiprecision/map libs/multiprecision/doc/html/boost_multiprecision/perf libs/multiprecision/doc/html/boost_multiprecision/ref libs/multiprecision/doc/html/boost_multiprecision/tut libs/multiprecision/example libs/multiprecision/performance
From: john_at_[hidden]
Date: 2012-01-14 08:24:54


Author: johnmaddock
Date: 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
New Revision: 76486
URL: http://svn.boost.org/trac/boost/changeset/76486

Log:
Update docs with performance results.
Add component based initialization of rationals.
Added:
   sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf/
   sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf.html (contents, props changed)
   sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf/float_performance.html (contents, props changed)
   sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf/integer_performance.html (contents, props changed)
   sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf/realworld.html (contents, props changed)
   sandbox/big_number/libs/multiprecision/performance/performance_test-msvc-10.log (contents, props changed)
Text files modified:
   sandbox/big_number/boost/multiprecision/detail/default_ops.hpp | 15 ++
   sandbox/big_number/boost/multiprecision/detail/mp_number_base.hpp | 7 +
   sandbox/big_number/boost/multiprecision/gmp.hpp | 23 +++
   sandbox/big_number/boost/multiprecision/mp_number.hpp | 42 +++++++
   sandbox/big_number/boost/multiprecision/rational_adapter.hpp | 21 +++
   sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/map.html | 6
   sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/map/todo.html | 3
   sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/ref/backendconc.html | 83 +++++++++++++
   sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/ref/mp_number.html | 58 +++++++++
   sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/tut/rational.html | 6 +
   sandbox/big_number/libs/multiprecision/doc/html/index.html | 10 +
   sandbox/big_number/libs/multiprecision/doc/multiprecision.qbk | 234 +++++++++++++++++++++++++++++++++++++++
   sandbox/big_number/libs/multiprecision/example/gmp_snips.cpp | 3
   sandbox/big_number/libs/multiprecision/example/tommath_snips.cpp | 3
   sandbox/big_number/libs/multiprecision/performance/performance_test.cpp | 219 +++++++++++++++++++++++++++++++++---
   sandbox/big_number/libs/multiprecision/performance/sf_performance-msvc-10.log | 60 +++++-----
   16 files changed, 725 insertions(+), 68 deletions(-)

Modified: sandbox/big_number/boost/multiprecision/detail/default_ops.hpp
==============================================================================
--- sandbox/big_number/boost/multiprecision/detail/default_ops.hpp (original)
+++ sandbox/big_number/boost/multiprecision/detail/default_ops.hpp 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -277,6 +277,21 @@
    return val.compare(static_cast<ui_type>(0));
 }
 
+template <class T, class V>
+inline void assign_components_imp(T& result, const V& v1, const V& v2, const mpl::int_<number_kind_rational>&)
+{
+ result = v1;
+ T t;
+ t = v2;
+ divide(result, t);
+}
+
+template <class T, class V>
+inline void assign_components(T& result, const V& v1, const V& v2)
+{
+ return assign_components_imp(result, v1, v2, typename number_category<T>::type());
+}
+
 template <class R, int b>
 struct has_enough_bits
 {

Modified: sandbox/big_number/boost/multiprecision/detail/mp_number_base.hpp
==============================================================================
--- sandbox/big_number/boost/multiprecision/detail/mp_number_base.hpp (original)
+++ sandbox/big_number/boost/multiprecision/detail/mp_number_base.hpp 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -1139,6 +1139,13 @@
 template <class tag, class A1, class A2, class A3>
 struct number_category<detail::mp_exp<tag, A1, A2, A3> > : public number_category<typename detail::mp_exp<tag, A1, A2, A3>::result_type>{};
 
+template <class T>
+struct component_type;
+template <class T>
+struct component_type<mp_number<T> > : public component_type<T>{};
+template <class tag, class A1, class A2, class A3>
+struct component_type<detail::mp_exp<tag, A1, A2, A3> > : public component_type<typename detail::mp_exp<tag, A1, A2, A3>::result_type>{};
+
 }} // namespaces
 
 namespace boost{ namespace math{ namespace tools{

Modified: sandbox/big_number/boost/multiprecision/gmp.hpp
==============================================================================
--- sandbox/big_number/boost/multiprecision/gmp.hpp (original)
+++ sandbox/big_number/boost/multiprecision/gmp.hpp 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -1603,6 +1603,12 @@
    return result;
 }
 
+template <>
+struct component_type<mp_number<gmp_rational> >
+{
+ typedef mp_number<gmp_int> type;
+};
+
 inline void add(gmp_rational& t, const gmp_rational& o)
 {
    mpq_add(t.data(), t.data(), o.data());
@@ -1668,6 +1674,23 @@
    mpq_abs(result.data(), val.data());
 }
 
+inline void assign_components(gmp_rational& result, unsigned long v1, unsigned long v2)
+{
+ mpq_set_ui(result.data(), v1, v2);
+ mpq_canonicalize(result.data());
+}
+inline void assign_components(gmp_rational& result, long v1, long v2)
+{
+ mpq_set_si(result.data(), v1, v2);
+ mpq_canonicalize(result.data());
+}
+inline void assign_components(gmp_rational& result, gmp_int const& v1, gmp_int const& v2)
+{
+ mpz_set(mpq_numref(result.data()), v1.data());
+ mpz_set(mpq_denref(result.data()), v2.data());
+ mpq_canonicalize(result.data());
+}
+
 //
 // Some member functions that are dependent upon previous code go here:
 //

Modified: sandbox/big_number/boost/multiprecision/mp_number.hpp
==============================================================================
--- sandbox/big_number/boost/multiprecision/mp_number.hpp (original)
+++ sandbox/big_number/boost/multiprecision/mp_number.hpp 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -37,17 +37,35 @@
       m_backend = canonical_value(v);
    }
    mp_number(const mp_number& e, unsigned digits10) : m_backend(e.m_backend, digits10){}
+ /*
+ //
+ // This conflicts with component based initialization (for rational and complex types)
+ // which is arguably more useful. Disabled for now.
+ //
    template <class V>
    mp_number(V v, unsigned digits10, typename enable_if<mpl::or_<boost::is_arithmetic<V>, is_same<std::string, V>, is_convertible<V, const char*> > >::type* dummy1 = 0)
    {
       m_backend.precision(digits10);
       m_backend = canonical_value(v);
    }
+ */
    template <class Other>
    mp_number(const mp_number<Other>& val, typename enable_if<boost::is_convertible<Other, Backend> >::type* dummy1 = 0)
    {
       m_backend = val.backend();
    }
+ template <class V>
+ mp_number(V v1, V v2, typename enable_if<mpl::or_<boost::is_arithmetic<V>, is_same<std::string, V>, is_convertible<V, const char*> > >::type* dummy1 = 0)
+ {
+ using default_ops::assign_components;
+ assign_components(m_backend, canonical_value(v1), canonical_value(v2));
+ }
+ template <class Other>
+ mp_number(const mp_number<Other>& v1, const mp_number<Other>& v2, typename enable_if<boost::is_convertible<Other, Backend> >::type* dummy1 = 0)
+ {
+ using default_ops::assign_components;
+ assign_components(m_backend, v1.backend(), v2.backend());
+ }
 
    template <class V>
    mp_number(V v, typename enable_if<mpl::and_<is_convertible<V, Backend>, mpl::not_<mpl::or_<boost::is_arithmetic<V>, is_same<std::string, V>, is_convertible<V, const char*> > > > >::type* dummy1 = 0)
@@ -322,6 +340,7 @@
 
    mp_number& operator&=(const self_type& e)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise & operation is only valid for integer types");
       do_bitwise_and(detail::mp_exp<detail::terminal, self_type>(e), detail::terminal());
       return *this;
    }
@@ -329,6 +348,7 @@
    template <class Exp>
    mp_number& operator&=(const detail::mp_exp<Exp>& e)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise & operation is only valid for integer types");
       // Create a temporary if the RHS references *this, but not
       // if we're just doing an x &= x;
       if(contains_self(e) && !is_self(e))
@@ -347,6 +367,7 @@
    typename enable_if<boost::is_arithmetic<V>, mp_number<Backend>& >::type
       operator&=(const V& v)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise & operation is only valid for integer types");
       using default_ops::bitwise_and;
       bitwise_and(m_backend, canonical_value(v));
       return *this;
@@ -354,6 +375,7 @@
 
    mp_number& operator|=(const self_type& e)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise | operation is only valid for integer types");
       do_bitwise_or(detail::mp_exp<detail::terminal, self_type>(e), detail::terminal());
       return *this;
    }
@@ -361,6 +383,7 @@
    template <class Exp>
    mp_number& operator|=(const detail::mp_exp<Exp>& e)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise | operation is only valid for integer types");
       // Create a temporary if the RHS references *this, but not
       // if we're just doing an x |= x;
       if(contains_self(e) && !is_self(e))
@@ -379,6 +402,7 @@
    typename enable_if<boost::is_arithmetic<V>, mp_number<Backend>& >::type
       operator|=(const V& v)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise | operation is only valid for integer types");
       using default_ops::bitwise_or;
       bitwise_or(m_backend, canonical_value(v));
       return *this;
@@ -386,6 +410,7 @@
 
    mp_number& operator^=(const self_type& e)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise ^ operation is only valid for integer types");
       do_bitwise_xor(detail::mp_exp<detail::terminal, self_type>(e), detail::terminal());
       return *this;
    }
@@ -393,6 +418,7 @@
    template <class Exp>
    mp_number& operator^=(const detail::mp_exp<Exp>& e)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise ^ operation is only valid for integer types");
       if(contains_self(e))
       {
          self_type temp(e);
@@ -409,6 +435,7 @@
    typename enable_if<boost::is_arithmetic<V>, mp_number<Backend>& >::type
       operator^=(const V& v)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise ^ operation is only valid for integer types");
       using default_ops::bitwise_xor;
       bitwise_xor(m_backend, canonical_value(v));
       return *this;
@@ -924,6 +951,7 @@
    template <class Exp>
    void do_assign(const Exp& e, const detail::bitwise_complement&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise ~ operation is only valid for integer types");
       using default_ops::complement;
       self_type temp(e.left());
       complement(m_backend, temp.backend());
@@ -932,6 +960,7 @@
    template <class Exp>
    void do_assign(const Exp& e, const detail::complement_immediates&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise ~ operation is only valid for integer types");
       using default_ops::complement;
       complement(m_backend, canonical_value(e.left().value()));
    }
@@ -939,6 +968,7 @@
    template <class Exp, class Val>
    void do_assign_right_shift(const Exp& e, const Val& val, const detail::terminal&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The right shift operation is only valid for integer types");
       using default_ops::right_shift;
       right_shift(m_backend, canonical_value(e.value()), val);
    }
@@ -946,6 +976,7 @@
    template <class Exp, class Val>
    void do_assign_left_shift(const Exp& e, const Val& val, const detail::terminal&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The left shift operation is only valid for integer types");
       using default_ops::left_shift;
       left_shift(m_backend, canonical_value(e.value()), val);
    }
@@ -953,6 +984,7 @@
    template <class Exp, class Val, class Tag>
    void do_assign_right_shift(const Exp& e, const Val& val, const Tag&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The right shift operation is only valid for integer types");
       using default_ops::right_shift;
       self_type temp(e);
       right_shift(m_backend, temp.backend(), val);
@@ -961,6 +993,7 @@
    template <class Exp, class Val, class Tag>
    void do_assign_left_shift(const Exp& e, const Val& val, const Tag&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The left shift operation is only valid for integer types");
       using default_ops::left_shift;
       self_type temp(e);
       left_shift(m_backend, temp.backend(), val);
@@ -1263,12 +1296,14 @@
    template <class Exp>
    void do_bitwise_and(const Exp& e, const detail::terminal&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise & operation is only valid for integer types");
       using default_ops::bitwise_and;
       bitwise_and(m_backend, canonical_value(e.value()));
    }
    template <class Exp>
    void do_bitwise_and(const Exp& e, const detail::bitwise_and&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise & operation is only valid for integer types");
       typedef typename Exp::left_type left_type;
       typedef typename Exp::right_type right_type;
       do_bitwise_and(e.left(), typename left_type::tag_type());
@@ -1277,6 +1312,7 @@
    template <class Exp, class unknown>
    void do_bitwise_and(const Exp& e, const unknown&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise & operation is only valid for integer types");
       using default_ops::bitwise_and;
       self_type temp(e);
       bitwise_and(m_backend, temp.m_backend);
@@ -1285,12 +1321,14 @@
    template <class Exp>
    void do_bitwise_or(const Exp& e, const detail::terminal&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise | operation is only valid for integer types");
       using default_ops::bitwise_or;
       bitwise_or(m_backend, canonical_value(e.value()));
    }
    template <class Exp>
    void do_bitwise_or(const Exp& e, const detail::bitwise_or&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise | operation is only valid for integer types");
       typedef typename Exp::left_type left_type;
       typedef typename Exp::right_type right_type;
       do_bitwise_or(e.left(), typename left_type::tag_type());
@@ -1299,6 +1337,7 @@
    template <class Exp, class unknown>
    void do_bitwise_or(const Exp& e, const unknown&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise | operation is only valid for integer types");
       using default_ops::bitwise_or;
       self_type temp(e);
       bitwise_or(m_backend, temp.m_backend);
@@ -1307,12 +1346,14 @@
    template <class Exp>
    void do_bitwise_xor(const Exp& e, const detail::terminal&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise ^ operation is only valid for integer types");
       using default_ops::bitwise_xor;
       bitwise_xor(m_backend, canonical_value(e.value()));
    }
    template <class Exp>
    void do_bitwise_xor(const Exp& e, const detail::bitwise_xor&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise ^ operation is only valid for integer types");
       typedef typename Exp::left_type left_type;
       typedef typename Exp::right_type right_type;
       do_bitwise_xor(e.left(), typename left_type::tag_type());
@@ -1321,6 +1362,7 @@
    template <class Exp, class unknown>
    void do_bitwise_xor(const Exp& e, const unknown&)
    {
+ BOOST_STATIC_ASSERT_MSG(number_category<Backend>::value == number_kind_integer, "The bitwise ^ operation is only valid for integer types");
       using default_ops::bitwise_xor;
       self_type temp(e);
       bitwise_xor(m_backend, temp.m_backend);

Modified: sandbox/big_number/boost/multiprecision/rational_adapter.hpp
==============================================================================
--- sandbox/big_number/boost/multiprecision/rational_adapter.hpp (original)
+++ sandbox/big_number/boost/multiprecision/rational_adapter.hpp 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -42,6 +42,11 @@
       m_value = o.m_value;
       return *this;
    }
+ rational_adapter& operator = (const IntBackend& o)
+ {
+ m_value = o;
+ return *this;
+ }
    template <class Arithmetic>
    typename enable_if<is_arithmetic<Arithmetic>, rational_adapter&>::type operator = (Arithmetic i)
    {
@@ -167,18 +172,30 @@
    return val.backend().data().denominator();
 }
 
+template<class IntBackend, class V>
+inline void assign_components(rational_adapter<IntBackend>& result, const V& v1, const V& v2)
+{
+ result.data().assign(v1, v2);
+}
+
 template<class IntBackend>
 struct number_category<rational_adapter<IntBackend> > : public mpl::int_<number_kind_rational>{};
 
+template <class T>
+struct component_type<rational_adapter<T> >
+{
+ typedef mp_number<T> type;
+};
+
 }} // namespaces
 
 
 namespace std{
 
 template <class IntBackend>
-class numeric_limits<boost::multiprecision::mp_number<boost::multiprecision::rational_adapter<IntBackend> > > : public std::numeric_limits<IntBackend>
+class numeric_limits<boost::multiprecision::mp_number<boost::multiprecision::rational_adapter<IntBackend> > > : public std::numeric_limits<boost::multiprecision::mp_number<IntBackend> >
 {
- typedef std::numeric_limits<IntBackend> base_type;
+ typedef std::numeric_limits<boost::multiprecision::mp_number<IntBackend> > base_type;
    typedef boost::multiprecision::mp_number<boost::multiprecision::rational_adapter<IntBackend> > number_type;
 public:
    BOOST_STATIC_CONSTEXPR bool is_integer = false;

Modified: sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/map.html
==============================================================================
--- sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/map.html (original)
+++ sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/map.html 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -6,12 +6,12 @@
 <meta name="generator" content="DocBook XSL Stylesheets V1.76.1">
 <link rel="home" href="../index.html" title="Chapter&#160;1.&#160;Boost.Multiprecision">
 <link rel="up" href="../index.html" title="Chapter&#160;1.&#160;Boost.Multiprecision">
-<link rel="prev" href="ref/backendconc.html" title="Backend Requirements">
+<link rel="prev" href="perf/integer_performance.html" title="Integer Algorithm Perfomance">
 <link rel="next" href="map/hist.html" title="History">
 </head>
 <body bgcolor="white" text="black" link="#0000FF" vlink="#840084" alink="#0000FF">
 <div class="spirit-nav">
-<a accesskey="p" href="ref/backendconc.html"><img src="../images/prev.png" alt="Prev"></a><a accesskey="u" href="../index.html"><img src="../images/up.png" alt="Up"></a><a accesskey="h" href="../index.html"><img src="../images/home.png" alt="Home"></a><a accesskey="n" href="map/hist.html"><img src="../images/next.png" alt="Next"></a>
+<a accesskey="p" href="perf/integer_performance.html"><img src="../images/prev.png" alt="Prev"></a><a accesskey="u" href="../index.html"><img src="../images/up.png" alt="Up"></a><a accesskey="h" href="../index.html"><img src="../images/home.png" alt="Home"></a><a accesskey="n" href="map/hist.html"><img src="../images/next.png" alt="Next"></a>
 </div>
 <div class="section boost_multiprecision_map">
 <div class="titlepage"><div><div><h2 class="title" style="clear: both">
@@ -32,7 +32,7 @@
 </tr></table>
 <hr>
 <div class="spirit-nav">
-<a accesskey="p" href="ref/backendconc.html"><img src="../images/prev.png" alt="Prev"></a><a accesskey="u" href="../index.html"><img src="../images/up.png" alt="Up"></a><a accesskey="h" href="../index.html"><img src="../images/home.png" alt="Home"></a><a accesskey="n" href="map/hist.html"><img src="../images/next.png" alt="Next"></a>
+<a accesskey="p" href="perf/integer_performance.html"><img src="../images/prev.png" alt="Prev"></a><a accesskey="u" href="../index.html"><img src="../images/up.png" alt="Up"></a><a accesskey="h" href="../index.html"><img src="../images/home.png" alt="Home"></a><a accesskey="n" href="map/hist.html"><img src="../images/next.png" alt="Next"></a>
 </div>
 </body>
 </html>

Modified: sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/map/todo.html
==============================================================================
--- sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/map/todo.html (original)
+++ sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/map/todo.html 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -27,9 +27,6 @@
 <li class="listitem">
             Add an adapter backend for complex number types.
           </li>
-<li class="listitem">
- Adapt libtommath code to make an all C++ fixed precision integer type.
- </li>
 </ul></div>
 </div>
 <table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>

Added: sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf.html
==============================================================================
--- (empty file)
+++ sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf.html 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -0,0 +1,41 @@
+<html>
+<head>
+<meta http-equiv="Content-Type" content="text/html; charset=US-ASCII">
+<title>Performance Comparison</title>
+<link rel="stylesheet" href="http://www.boost.org/doc/libs/release/doc/src/boostbook.css" type="text/css">
+<meta name="generator" content="DocBook XSL Stylesheets V1.76.1">
+<link rel="home" href="../index.html" title="Chapter&#160;1.&#160;Boost.Multiprecision">
+<link rel="up" href="../index.html" title="Chapter&#160;1.&#160;Boost.Multiprecision">
+<link rel="prev" href="ref/backendconc.html" title="Backend Requirements">
+<link rel="next" href="perf/realworld.html" title="Real World Tests">
+</head>
+<body bgcolor="white" text="black" link="#0000FF" vlink="#840084" alink="#0000FF">
+<div class="spirit-nav">
+<a accesskey="p" href="ref/backendconc.html"><img src="../images/prev.png" alt="Prev"></a><a accesskey="u" href="../index.html"><img src="../images/up.png" alt="Up"></a><a accesskey="h" href="../index.html"><img src="../images/home.png" alt="Home"></a><a accesskey="n" href="perf/realworld.html"><img src="../images/next.png" alt="Next"></a>
+</div>
+<div class="section boost_multiprecision_perf">
+<div class="titlepage"><div><div><h2 class="title" style="clear: both">
+<a name="boost_multiprecision.perf"></a><a class="link" href="perf.html" title="Performance Comparison">Performance Comparison</a>
+</h2></div></div></div>
+<div class="toc"><dl>
+<dt><span class="section">Real World Tests</span></dt>
+<dt><span class="section"><a href="perf/float_performance.html">Float Algorithm
+ Perfomance</a></span></dt>
+<dt><span class="section"><a href="perf/integer_performance.html">Integer
+ Algorithm Perfomance</a></span></dt>
+</dl></div>
+</div>
+<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
+<td align="left"></td>
+<td align="right"><div class="copyright-footer">Copyright &#169; 2011 John Maddock<p>
+ Distributed under the Boost Software License, Version 1.0. (See accompanying
+ file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+ </p>
+</div></td>
+</tr></table>
+<hr>
+<div class="spirit-nav">
+<a accesskey="p" href="ref/backendconc.html"><img src="../images/prev.png" alt="Prev"></a><a accesskey="u" href="../index.html"><img src="../images/up.png" alt="Up"></a><a accesskey="h" href="../index.html"><img src="../images/home.png" alt="Home"></a><a accesskey="n" href="perf/realworld.html"><img src="../images/next.png" alt="Next"></a>
+</div>
+</body>
+</html>

Added: sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf/float_performance.html
==============================================================================
--- (empty file)
+++ sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf/float_performance.html 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -0,0 +1,757 @@
+<html>
+<head>
+<meta http-equiv="Content-Type" content="text/html; charset=US-ASCII">
+<title>Float Algorithm Perfomance</title>
+<link rel="stylesheet" href="http://www.boost.org/doc/libs/release/doc/src/boostbook.css" type="text/css">
+<meta name="generator" content="DocBook XSL Stylesheets V1.76.1">
+<link rel="home" href="../../index.html" title="Chapter&#160;1.&#160;Boost.Multiprecision">
+<link rel="up" href="../perf.html" title="Performance Comparison">
+<link rel="prev" href="realworld.html" title="Real World Tests">
+<link rel="next" href="integer_performance.html" title="Integer Algorithm Perfomance">
+</head>
+<body bgcolor="white" text="black" link="#0000FF" vlink="#840084" alink="#0000FF">
+<div class="spirit-nav">
+<a accesskey="p" href="realworld.html"><img src="../../images/prev.png" alt="Prev"></a><a accesskey="u" href="../perf.html"><img src="../../images/up.png" alt="Up"></a><a accesskey="h" href="../../index.html"><img src="../../images/home.png" alt="Home"></a><a accesskey="n" href="integer_performance.html"><img src="../../images/next.png" alt="Next"></a>
+</div>
+<div class="section boost_multiprecision_perf_float_performance">
+<div class="titlepage"><div><div><h3 class="title">
+<a name="boost_multiprecision.perf.float_performance"></a><a class="link" href="float_performance.html" title="Float Algorithm Perfomance">Float Algorithm
+ Perfomance</a>
+</h3></div></div></div>
+<p>
+ Note that these tests are carefully designed to test performance of the underlying
+ algorithms and not memory allocation or variable copying. As usual, performance
+ results should be taken with a healthy dose of scepticsm, and real-world
+ peformance may vary widely depending upon the specifics of the program. In
+ each table relative times are given first, with the best performer given
+ a score of 1. Total actual times are given in brackets, measured in seconds
+ for 500000 operations.
+ </p>
+<p>
+ Test code was compiled with Microsoft Visual Studio 2010 with all optimisations
+ turned on (/Ox), and used MPIR-2.3.0 and MPFR-3.0.0. The tests were run on
+ 32-bit Windows Vista machine.
+ </p>
+<div class="table">
+<a name="boost_multiprecision.perf.float_performance.operator__"></a><p class="title"><b>Table&#160;1.8.&#160;Operator *</b></p>
+<div class="table-contents"><table class="table" summary="Operator *">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 50 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 100 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 500 Decimal Digits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ cpp_float
+ </p>
+ </td>
+<td>
+ <p>
+ 1.0826 (0.287216s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.48086 (0.586363s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.57545 (5.05269s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_float
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.265302s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.395962s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (3.20714s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpfr_float
+ </p>
+ </td>
+<td>
+ <p>
+ 1.24249 (0.329636s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.15432 (0.457067s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.16182 (3.72612s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.float_performance.operator0"></a><p class="title"><b>Table&#160;1.9.&#160;Operator +</b></p>
+<div class="table-contents"><table class="table" summary="Operator +">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 50 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 100 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 500 Decimal Digits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ cpp_float
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0242151s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.029252s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0584099s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_float
+ </p>
+ </td>
+<td>
+ <p>
+ 4.55194 (0.110226s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.67516 (0.107506s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.42489 (0.141638s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpfr_float
+ </p>
+ </td>
+<td>
+ <p>
+ 2.45362 (0.0594147s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.18552 (0.0639309s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.32099 (0.0771588s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.float_performance.operator___int_"></a><p class="title"><b>Table&#160;1.10.&#160;Operator +(int)</b></p>
+<div class="table-contents"><table class="table" summary="Operator +(int)">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 50 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 100 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 500 Decimal Digits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ cpp_float
+ </p>
+ </td>
+<td>
+ <p>
+ 1.51995 (0.0484155s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.78781 (0.0611055s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.8309 (0.104123s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_float
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0318533s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0341789s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0568699s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpfr_float
+ </p>
+ </td>
+<td>
+ <p>
+ 3.39055 (0.108s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.30142 (0.112839s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.05293 (0.11675s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.float_performance.operator1"></a><p class="title"><b>Table&#160;1.11.&#160;Operator -</b></p>
+<div class="table-contents"><table class="table" summary="Operator -">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 50 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 100 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 500 Decimal Digits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ cpp_float
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0261498s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.030946s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0606388s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_float
+ </p>
+ </td>
+<td>
+ <p>
+ 4.48753 (0.117348s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.75823 (0.116302s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.4823 (0.150524s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpfr_float
+ </p>
+ </td>
+<td>
+ <p>
+ 2.96057 (0.0774183s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.61897 (0.0810465s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.56236 (0.0947396s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.float_performance.operator_int0"></a><p class="title"><b>Table&#160;1.12.&#160;Operator -(int)</b></p>
+<div class="table-contents"><table class="table" summary="Operator -(int)">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 50 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 100 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 500 Decimal Digits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ cpp_float
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0567601s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0626685s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.111692s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_float
+ </p>
+ </td>
+<td>
+ <p>
+ 2.27932 (0.129374s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.04821 (0.128358s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.48297 (0.165635s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpfr_float
+ </p>
+ </td>
+<td>
+ <p>
+ 2.43199 (0.13804s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.32131 (0.145473s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.38152 (0.154304s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.float_performance.operator2"></a><p class="title"><b>Table&#160;1.13.&#160;Operator /</b></p>
+<div class="table-contents"><table class="table" summary="Operator /">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 50 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 100 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 500 Decimal Digits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ cpp_float
+ </p>
+ </td>
+<td>
+ <p>
+ 3.2662 (3.98153s)
+ </p>
+ </td>
+<td>
+ <p>
+ 5.07021 (8.11948s)
+ </p>
+ </td>
+<td>
+ <p>
+ 6.78872 (53.6099s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_float
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (1.21901s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (1.60141s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (7.89691s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpfr_float
+ </p>
+ </td>
+<td>
+ <p>
+ 1.33238 (1.62419s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.39529 (2.23443s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.70882 (13.4944s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.float_performance.operator_str"></a><p class="title"><b>Table&#160;1.14.&#160;Operator str</b></p>
+<div class="table-contents"><table class="table" summary="Operator str">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 50 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 100 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 500 Decimal Digits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ cpp_float
+ </p>
+ </td>
+<td>
+ <p>
+ 1.46076 (0.0192656s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.59438 (0.0320398s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.134302s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_float
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0131888s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0200954s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.01007 (0.135655s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpfr_float
+ </p>
+ </td>
+<td>
+ <p>
+ 2.19174 (0.0289065s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.86101 (0.0373977s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.15842 (0.155578s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break">
+</div>
+<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
+<td align="left"></td>
+<td align="right"><div class="copyright-footer">Copyright &#169; 2011 John Maddock<p>
+ Distributed under the Boost Software License, Version 1.0. (See accompanying
+ file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+ </p>
+</div></td>
+</tr></table>
+<hr>
+<div class="spirit-nav">
+<a accesskey="p" href="realworld.html"><img src="../../images/prev.png" alt="Prev"></a><a accesskey="u" href="../perf.html"><img src="../../images/up.png" alt="Up"></a><a accesskey="h" href="../../index.html"><img src="../../images/home.png" alt="Home"></a><a accesskey="n" href="integer_performance.html"><img src="../../images/next.png" alt="Next"></a>
+</div>
+</body>
+</html>

Added: sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf/integer_performance.html
==============================================================================
--- (empty file)
+++ sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf/integer_performance.html 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -0,0 +1,1909 @@
+<html>
+<head>
+<meta http-equiv="Content-Type" content="text/html; charset=US-ASCII">
+<title>Integer Algorithm Perfomance</title>
+<link rel="stylesheet" href="http://www.boost.org/doc/libs/release/doc/src/boostbook.css" type="text/css">
+<meta name="generator" content="DocBook XSL Stylesheets V1.76.1">
+<link rel="home" href="../../index.html" title="Chapter&#160;1.&#160;Boost.Multiprecision">
+<link rel="up" href="../perf.html" title="Performance Comparison">
+<link rel="prev" href="float_performance.html" title="Float Algorithm Perfomance">
+<link rel="next" href="../map.html" title="Roadmap">
+</head>
+<body bgcolor="white" text="black" link="#0000FF" vlink="#840084" alink="#0000FF">
+<div class="spirit-nav">
+<a accesskey="p" href="float_performance.html"><img src="../../images/prev.png" alt="Prev"></a><a accesskey="u" href="../perf.html"><img src="../../images/up.png" alt="Up"></a><a accesskey="h" href="../../index.html"><img src="../../images/home.png" alt="Home"></a><a accesskey="n" href="../map.html"><img src="../../images/next.png" alt="Next"></a>
+</div>
+<div class="section boost_multiprecision_perf_integer_performance">
+<div class="titlepage"><div><div><h3 class="title">
+<a name="boost_multiprecision.perf.integer_performance"></a><a class="link" href="integer_performance.html" title="Integer Algorithm Perfomance">Integer
+ Algorithm Perfomance</a>
+</h3></div></div></div>
+<p>
+ Note that these tests are carefully designed to test performance of the underlying
+ algorithms and not memory allocation or variable copying. As usual, performance
+ results should be taken with a healthy dose of scepticsm, and real-world
+ peformance may vary widely depending upon the specifics of the program. In
+ each table relative times are given first, with the best performer given
+ a score of 1. Total actual times are given in brackets, measured in seconds
+ for 500000 operations.
+ </p>
+<p>
+ Test code was compiled with Microsoft Visual Studio 2010 with all optimisations
+ turned on (/Ox), and used MPIR-2.3.0 and MPFR-3.0.0. The tests were run on
+ 32-bit Windows Vista machine.
+ </p>
+<div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator__"></a><p class="title"><b>Table&#160;1.15.&#160;Operator +</b></p>
+<div class="table-contents"><table class="table" summary="Operator +">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0031173s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00696555s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0163707s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0314806s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0596158s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 12.7096 (0.0396194s)
+ </p>
+ </td>
+<td>
+ <p>
+ 5.89178 (0.0410395s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.66402 (0.0436119s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.59356 (0.0501664s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.11155 (0.0662662s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 6.14357 (0.0191513s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.16177 (0.0220235s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.85441 (0.030358s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.45895 (0.0459287s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.26576 (0.0754591s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator___int_"></a><p class="title"><b>Table&#160;1.16.&#160;Operator +(int)</b></p>
+<div class="table-contents"><table class="table" summary="Operator +(int)">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00329336s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00370718s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00995385s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0117467s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0233483s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 9.56378 (0.031497s)
+ </p>
+ </td>
+<td>
+ <p>
+ 8.0588 (0.0298754s)
+ </p>
+ </td>
+<td>
+ <p>
+ 4.15824 (0.0413905s)
+ </p>
+ </td>
+<td>
+ <p>
+ 5.47974 (0.0643691s)
+ </p>
+ </td>
+<td>
+ <p>
+ 4.46265 (0.104195s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 76.2624 (0.25116s)
+ </p>
+ </td>
+<td>
+ <p>
+ 71.3973 (0.264682s)
+ </p>
+ </td>
+<td>
+ <p>
+ 28.0238 (0.278945s)
+ </p>
+ </td>
+<td>
+ <p>
+ 25.9035 (0.304282s)
+ </p>
+ </td>
+<td>
+ <p>
+ 13.1635 (0.307346s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator0"></a><p class="title"><b>Table&#160;1.17.&#160;Operator -</b></p>
+<div class="table-contents"><table class="table" summary="Operator -">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00359417s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00721041s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0168213s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0323563s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.061385s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 10.6794 (0.0383836s)
+ </p>
+ </td>
+<td>
+ <p>
+ 5.65517 (0.0407761s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.63634 (0.0443466s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.59979 (0.0517632s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.13379 (0.0695978s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 6.43615 (0.0231326s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.6161 (0.0260736s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.2585 (0.0379908s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.52006 (0.0491835s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.24231 (0.0762591s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator_int0"></a><p class="title"><b>Table&#160;1.18.&#160;Operator -(int)</b></p>
+<div class="table-contents"><table class="table" summary="Operator -(int)">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00353606s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00577573s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0155184s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.029385s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0586271s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 9.04434 (0.0319814s)
+ </p>
+ </td>
+<td>
+ <p>
+ 5.12393 (0.0295945s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.50743 (0.0389112s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.01898 (0.0593277s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.68381 (0.098717s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 60.2486 (0.213043s)
+ </p>
+ </td>
+<td>
+ <p>
+ 38.3032 (0.221229s)
+ </p>
+ </td>
+<td>
+ <p>
+ 15.8792 (0.24642s)
+ </p>
+ </td>
+<td>
+ <p>
+ 8.71166 (0.255992s)
+ </p>
+ </td>
+<td>
+ <p>
+ 4.85236 (0.28448s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator1"></a><p class="title"><b>Table&#160;1.19.&#160;Operator *</b></p>
+<div class="table-contents"><table class="table" summary="Operator *">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0175309s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0388232s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.123609s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.427489s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (1.46312s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 2.93263 (0.0514117s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.70358 (0.0661383s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.01811 (0.125848s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.20692 (0.515943s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.03248 (1.51064s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 3.82476 (0.0670515s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.87425 (0.111587s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.74339 (0.339108s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.26768 (0.969408s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.1233 (3.10664s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator2"></a><p class="title"><b>Table&#160;1.20.&#160;Operator /</b></p>
+<div class="table-contents"><table class="table" summary="Operator /">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0973696s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.260936s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.845628s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.4597 (2.51371s)
+ </p>
+ </td>
+<td>
+ <p>
+ 6.21836 (7.93136s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 7.66851 (0.74668s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.17732 (0.829077s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.05006 (0.887961s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (1.02196s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (1.27547s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 18.3945 (1.79107s)
+ </p>
+ </td>
+<td>
+ <p>
+ 8.11201 (2.11671s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.49119 (2.95225s)
+ </p>
+ </td>
+<td>
+ <p>
+ 4.55727 (4.65733s)
+ </p>
+ </td>
+<td>
+ <p>
+ 9.06813 (11.5662s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator3"></a><p class="title"><b>Table&#160;1.21.&#160;Operator %</b></p>
+<div class="table-contents"><table class="table" summary="Operator %">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.098458s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.269155s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.10039 (0.849272s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.92096 (2.55909s)
+ </p>
+ </td>
+<td>
+ <p>
+ 7.47157 (7.99106s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 6.63934 (0.653697s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.6753 (0.72007s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.771794s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.87611s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (1.06953s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 18.5522 (1.82661s)
+ </p>
+ </td>
+<td>
+ <p>
+ 8.00831 (2.15548s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.89737 (3.00797s)
+ </p>
+ </td>
+<td>
+ <p>
+ 5.38078 (4.71416s)
+ </p>
+ </td>
+<td>
+ <p>
+ 10.7885 (11.5386s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator___"></a><p class="title"><b>Table&#160;1.22.&#160;Operator &lt;&lt;</b></p>
+<div class="table-contents"><table class="table" summary="Operator &lt;&lt;">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0120907s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0129147s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0214412s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0249208s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0341293s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 1.93756 (0.0234265s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.97785 (0.0255433s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.43607 (0.0307911s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.815 (0.0452311s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.00167 (0.0683156s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 3.42859 (0.0414542s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.04951 (0.0393836s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.04202 (0.0652246s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.81169 (0.0949903s)
+ </p>
+ </td>
+<td>
+ <p>
+ 4.93896 (0.168563s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator4"></a><p class="title"><b>Table&#160;1.23.&#160;Operator &gt;&gt;</b></p>
+<div class="table-contents"><table class="table" summary="Operator &gt;&gt;">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0064833s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00772857s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0186871s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0218303s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0326372s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 4.212 (0.0273077s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.72696 (0.0288041s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.55046 (0.0289735s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.51403 (0.0330518s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.13695 (0.037107s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 33.9418 (0.220055s)
+ </p>
+ </td>
+<td>
+ <p>
+ 29.104 (0.224932s)
+ </p>
+ </td>
+<td>
+ <p>
+ 13.8407 (0.258642s)
+ </p>
+ </td>
+<td>
+ <p>
+ 13.1488 (0.287043s)
+ </p>
+ </td>
+<td>
+ <p>
+ 15.1741 (0.495242s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator5"></a><p class="title"><b>Table&#160;1.24.&#160;Operator &amp;</b></p>
+<div class="table-contents"><table class="table" summary="Operator &amp;">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0028732s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00552933s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0125148s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.020299s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.034856s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 16.3018 (0.0468383s)
+ </p>
+ </td>
+<td>
+ <p>
+ 9.51109 (0.05259s)
+ </p>
+ </td>
+<td>
+ <p>
+ 5.20026 (0.0650802s)
+ </p>
+ </td>
+<td>
+ <p>
+ 4.46545 (0.0906443s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.99377 (0.139207s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 42.221 (0.121309s)
+ </p>
+ </td>
+<td>
+ <p>
+ 22.2471 (0.123011s)
+ </p>
+ </td>
+<td>
+ <p>
+ 11.3587 (0.142151s)
+ </p>
+ </td>
+<td>
+ <p>
+ 7.3475 (0.149147s)
+ </p>
+ </td>
+<td>
+ <p>
+ 11.4043 (0.397507s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator6"></a><p class="title"><b>Table&#160;1.25.&#160;Operator ^</b></p>
+<div class="table-contents"><table class="table" summary="Operator ^">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00287983s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00543128s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0125726s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.019987s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.034697s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 14.938 (0.0430189s)
+ </p>
+ </td>
+<td>
+ <p>
+ 9.00973 (0.0489344s)
+ </p>
+ </td>
+<td>
+ <p>
+ 4.83803 (0.0608267s)
+ </p>
+ </td>
+<td>
+ <p>
+ 4.33359 (0.0866154s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.89518 (0.135151s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 41.6898 (0.12006s)
+ </p>
+ </td>
+<td>
+ <p>
+ 22.4393 (0.121874s)
+ </p>
+ </td>
+<td>
+ <p>
+ 10.7513 (0.135172s)
+ </p>
+ </td>
+<td>
+ <p>
+ 7.2632 (0.145169s)
+ </p>
+ </td>
+<td>
+ <p>
+ 11.5765 (0.401671s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator7"></a><p class="title"><b>Table&#160;1.26.&#160;Operator |</b></p>
+<div class="table-contents"><table class="table" summary="Operator |">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00314803s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00548233s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0125434s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.0198161s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.034957s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ 13.0622 (0.0411201s)
+ </p>
+ </td>
+<td>
+ <p>
+ 8.63936 (0.0473638s)
+ </p>
+ </td>
+<td>
+ <p>
+ 4.6932 (0.0588688s)
+ </p>
+ </td>
+<td>
+ <p>
+ 4.25792 (0.0843755s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.78236 (0.13222s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 38.5896 (0.121481s)
+ </p>
+ </td>
+<td>
+ <p>
+ 22.3609 (0.12259s)
+ </p>
+ </td>
+<td>
+ <p>
+ 10.9015 (0.136742s)
+ </p>
+ </td>
+<td>
+ <p>
+ 7.68521 (0.152291s)
+ </p>
+ </td>
+<td>
+ <p>
+ 11.6322 (0.406628s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.integer_performance.operator_str"></a><p class="title"><b>Table&#160;1.27.&#160;Operator str</b></p>
+<div class="table-contents"><table class="table" summary="Operator str">
+<colgroup>
+<col>
+<col>
+<col>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Backend
+ </p>
+ </th>
+<th>
+ <p>
+ 64 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 128 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 256 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 512 Bits
+ </p>
+ </th>
+<th>
+ <p>
+ 1024 Bits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ fixed_int
+ </p>
+ </td>
+<td>
+ <p>
+ 1.03557 (0.00143356s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.39844 (0.00290281s)
+ </p>
+ </td>
+<td>
+ <p>
+ 3.14081 (0.0099558s)
+ </p>
+ </td>
+<td>
+ <p>
+ 6.28067 (0.0372769s)
+ </p>
+ </td>
+<td>
+ <p>
+ 13.2101 (0.188878s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ gmp_int
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00138432s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00207575s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00316982s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.00593518s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1</strong></span> (0.014298s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ tommath_int
+ </p>
+ </td>
+<td>
+ <p>
+ 5.31194 (0.00735345s)
+ </p>
+ </td>
+<td>
+ <p>
+ 7.90724 (0.0164135s)
+ </p>
+ </td>
+<td>
+ <p>
+ 15.8581 (0.0502673s)
+ </p>
+ </td>
+<td>
+ <p>
+ 19.7526 (0.117235s)
+ </p>
+ </td>
+<td>
+ <p>
+ 26.6031 (0.380373s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break">
+</div>
+<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
+<td align="left"></td>
+<td align="right"><div class="copyright-footer">Copyright &#169; 2011 John Maddock<p>
+ Distributed under the Boost Software License, Version 1.0. (See accompanying
+ file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+ </p>
+</div></td>
+</tr></table>
+<hr>
+<div class="spirit-nav">
+<a accesskey="p" href="float_performance.html"><img src="../../images/prev.png" alt="Prev"></a><a accesskey="u" href="../perf.html"><img src="../../images/up.png" alt="Up"></a><a accesskey="h" href="../../index.html"><img src="../../images/home.png" alt="Home"></a><a accesskey="n" href="../map.html"><img src="../../images/next.png" alt="Next"></a>
+</div>
+</body>
+</html>

Added: sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf/realworld.html
==============================================================================
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+++ sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/perf/realworld.html 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -0,0 +1,276 @@
+<html>
+<head>
+<meta http-equiv="Content-Type" content="text/html; charset=US-ASCII">
+<title>Real World Tests</title>
+<link rel="stylesheet" href="http://www.boost.org/doc/libs/release/doc/src/boostbook.css" type="text/css">
+<meta name="generator" content="DocBook XSL Stylesheets V1.76.1">
+<link rel="home" href="../../index.html" title="Chapter&#160;1.&#160;Boost.Multiprecision">
+<link rel="up" href="../perf.html" title="Performance Comparison">
+<link rel="prev" href="../perf.html" title="Performance Comparison">
+<link rel="next" href="float_performance.html" title="Float Algorithm Perfomance">
+</head>
+<body bgcolor="white" text="black" link="#0000FF" vlink="#840084" alink="#0000FF">
+<div class="spirit-nav">
+<a accesskey="p" href="../perf.html"><img src="../../images/prev.png" alt="Prev"></a><a accesskey="u" href="../perf.html"><img src="../../images/up.png" alt="Up"></a><a accesskey="h" href="../../index.html"><img src="../../images/home.png" alt="Home"></a><a accesskey="n" href="float_performance.html"><img src="../../images/next.png" alt="Next"></a>
+</div>
+<div class="section boost_multiprecision_perf_realworld">
+<div class="titlepage"><div><div><h3 class="title">
+<a name="boost_multiprecision.perf.realworld"></a><a class="link" href="realworld.html" title="Real World Tests">Real World Tests</a>
+</h3></div></div></div>
+<p>
+ These tests test the total time taken to execute all of Boost.Math's test
+ cases for these functions. In each case the best performing library gets
+ a relative score of 1, with the total execution time given in brackets. The
+ first three libraries listed are the various floating point types provided
+ by this library, while for comparison, two popular C++ frontends to MPFR
+ (mpfr_class and mpreal) are also shown.
+ </p>
+<p>
+ Test code was compiled with Microsoft Visual Studio 2010 with all optimisations
+ turned on (/Ox), and used MPIR-2.3.0 and MPFR-3.0.0. The tests were run on
+ 32-bit Windows Vista machine.
+ </p>
+<div class="table">
+<a name="boost_multiprecision.perf.realworld.bessel_function_performance"></a><p class="title"><b>Table&#160;1.6.&#160;Bessel Function Performance</b></p>
+<div class="table-contents"><table class="table" summary="Bessel Function Performance">
+<colgroup>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Library
+ </p>
+ </th>
+<th>
+ <p>
+ 50 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 100 Decimal Digits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ mpfr_float
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1.0</strong></span> (6.472s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.193 (10.154s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpf_float
+ </p>
+ </td>
+<td>
+ <p>
+ 1.801 (11.662s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1.0</strong></span>(8.511s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ cpp_float
+ </p>
+ </td>
+<td>
+ <p>
+ 3.13 (20.285s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.46 (21.019s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpfr_class
+ </p>
+ </td>
+<td>
+ <p>
+ 1.001 (6.480s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.15(9.805s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpreal
+ </p>
+ </td>
+<td>
+ <p>
+ 1.542 (9.981s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.61 (13.702s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break"><div class="table">
+<a name="boost_multiprecision.perf.realworld.non_central_t_distribution_performance"></a><p class="title"><b>Table&#160;1.7.&#160;Non-Central T Distribution Performance</b></p>
+<div class="table-contents"><table class="table" summary="Non-Central T Distribution Performance">
+<colgroup>
+<col>
+<col>
+<col>
+</colgroup>
+<thead><tr>
+<th>
+ <p>
+ Library
+ </p>
+ </th>
+<th>
+ <p>
+ 50 Decimal Digits
+ </p>
+ </th>
+<th>
+ <p>
+ 100 Decimal Digits
+ </p>
+ </th>
+</tr></thead>
+<tbody>
+<tr>
+<td>
+ <p>
+ mpfr_float
+ </p>
+ </td>
+<td>
+ <p>
+ 1.308 (258.09s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.30 (516.74s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpf_float
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1.0</strong></span> (197.30s)
+ </p>
+ </td>
+<td>
+ <p>
+ <span class="bold"><strong>1.0</strong></span>(397.30s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ cpp_float
+ </p>
+ </td>
+<td>
+ <p>
+ 1.695 (334.50s)
+ </p>
+ </td>
+<td>
+ <p>
+ 2.68 (1064.53s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpfr_class
+ </p>
+ </td>
+<td>
+ <p>
+ 1.35 (266.39s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.323 (525.74s)
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ mpreal
+ </p>
+ </td>
+<td>
+ <p>
+ 1.75 (346.64s)
+ </p>
+ </td>
+<td>
+ <p>
+ 1.635 (649.94s)
+ </p>
+ </td>
+</tr>
+</tbody>
+</table></div>
+</div>
+<br class="table-break">
+</div>
+<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
+<td align="left"></td>
+<td align="right"><div class="copyright-footer">Copyright &#169; 2011 John Maddock<p>
+ Distributed under the Boost Software License, Version 1.0. (See accompanying
+ file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+ </p>
+</div></td>
+</tr></table>
+<hr>
+<div class="spirit-nav">
+<a accesskey="p" href="../perf.html"><img src="../../images/prev.png" alt="Prev"></a><a accesskey="u" href="../perf.html"><img src="../../images/up.png" alt="Up"></a><a accesskey="h" href="../../index.html"><img src="../../images/home.png" alt="Home"></a><a accesskey="n" href="float_performance.html"><img src="../../images/next.png" alt="Next"></a>
+</div>
+</body>
+</html>

Modified: sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/ref/backendconc.html
==============================================================================
--- sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/ref/backendconc.html (original)
+++ sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/ref/backendconc.html 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -7,11 +7,11 @@
 <link rel="home" href="../../index.html" title="Chapter&#160;1.&#160;Boost.Multiprecision">
 <link rel="up" href="../ref.html" title="Reference">
 <link rel="prev" href="mp_number.html" title="mp_number">
-<link rel="next" href="../map.html" title="Roadmap">
+<link rel="next" href="../perf.html" title="Performance Comparison">
 </head>
 <body bgcolor="white" text="black" link="#0000FF" vlink="#840084" alink="#0000FF">
 <div class="spirit-nav">
-<a accesskey="p" href="mp_number.html"><img src="../../images/prev.png" alt="Prev"></a><a accesskey="u" href="../ref.html"><img src="../../images/up.png" alt="Up"></a><a accesskey="h" href="../../index.html"><img src="../../images/home.png" alt="Home"></a><a accesskey="n" href="../map.html"><img src="../../images/next.png" alt="Next"></a>
+<a accesskey="p" href="mp_number.html"><img src="../../images/prev.png" alt="Prev"></a><a accesskey="u" href="../ref.html"><img src="../../images/up.png" alt="Up"></a><a accesskey="h" href="../../index.html"><img src="../../images/home.png" alt="Home"></a><a accesskey="n" href="../perf.html"><img src="../../images/next.png" alt="Next"></a>
 </div>
 <div class="section boost_multiprecision_ref_backendconc">
 <div class="titlepage"><div><div><h3 class="title">
@@ -34,7 +34,9 @@
         <code class="computeroutput"><span class="identifier">pa</span></code> is a variable of type
         pointer-to-arithmetic-type, <code class="computeroutput"><span class="identifier">exp</span></code>
         is a variable of type <code class="computeroutput"><span class="identifier">B</span><span class="special">::</span><span class="identifier">exp_type</span></code>, <code class="computeroutput"><span class="identifier">pexp</span></code>
- is a variable of type <code class="computeroutput"><span class="identifier">B</span><span class="special">::</span><span class="identifier">exp_type</span><span class="special">*</span></code>.
+ is a variable of type <code class="computeroutput"><span class="identifier">B</span><span class="special">::</span><span class="identifier">exp_type</span><span class="special">*</span></code>,
+ B2 is another type that meets these requirements, b2 is a variable of type
+ B2.
       </p>
 <div class="table">
 <a name="boost_multiprecision.ref.backendconc.compulsory_requirements_on_the_backend_type_"></a><p class="title"><b>Table&#160;1.4.&#160;Compulsory Requirements on the Backend type.</b></p>
@@ -732,6 +734,79 @@
 <tr>
 <td>
                 <p>
+ <code class="computeroutput"><span class="identifier">B</span><span class="special">(</span><span class="identifier">b2</span><span class="special">)</span></code>
+ </p>
+ </td>
+<td>
+ <p>
+ <code class="computeroutput"><span class="identifier">B</span></code>
+ </p>
+ </td>
+<td>
+ <p>
+ Copy constructor from a different backend type.
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ <code class="computeroutput"><span class="identifier">b</span> <span class="special">=</span>
+ <span class="identifier">b2</span></code>
+ </p>
+ </td>
+<td>
+ <p>
+ <code class="computeroutput"><span class="identifier">b</span><span class="special">&amp;</span></code>
+ </p>
+ </td>
+<td>
+ <p>
+ Assignment operator from a different backend type.
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ <code class="computeroutput"><span class="identifier">assign_components</span><span class="special">(</span><span class="identifier">b</span><span class="special">,</span> <span class="identifier">a</span><span class="special">,</span> <span class="identifier">a</span><span class="special">)</span></code>
+ </p>
+ </td>
+<td>
+ <p>
+ <code class="computeroutput"><span class="keyword">void</span></code>
+ </p>
+ </td>
+<td>
+ <p>
+ Assigns to <code class="computeroutput"><span class="identifier">b</span></code> the
+ two components in the following arguments. Only applies to rational
+ and complex number types.
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
+ <code class="computeroutput"><span class="identifier">assign_components</span><span class="special">(</span><span class="identifier">b</span><span class="special">,</span> <span class="identifier">b2</span><span class="special">,</span> <span class="identifier">b2</span><span class="special">)</span></code>
+ </p>
+ </td>
+<td>
+ <p>
+ <code class="computeroutput"><span class="keyword">void</span></code>
+ </p>
+ </td>
+<td>
+ <p>
+ Assigns to <code class="computeroutput"><span class="identifier">b</span></code> the
+ two components in the following arguments. Only applies to rational
+ and complex number types.
+ </p>
+ </td>
+</tr>
+<tr>
+<td>
+ <p>
                   <code class="computeroutput"><span class="identifier">add</span><span class="special">(</span><span class="identifier">b</span><span class="special">,</span>
                   <span class="identifier">a</span><span class="special">)</span></code>
                 </p>
@@ -2039,7 +2114,7 @@
 </tr></table>
 <hr>
 <div class="spirit-nav">
-<a accesskey="p" href="mp_number.html"><img src="../../images/prev.png" alt="Prev"></a><a accesskey="u" href="../ref.html"><img src="../../images/up.png" alt="Up"></a><a accesskey="h" href="../../index.html"><img src="../../images/home.png" alt="Home"></a><a accesskey="n" href="../map.html"><img src="../../images/next.png" alt="Next"></a>
+<a accesskey="p" href="mp_number.html"><img src="../../images/prev.png" alt="Prev"></a><a accesskey="u" href="../ref.html"><img src="../../images/up.png" alt="Up"></a><a accesskey="h" href="../../index.html"><img src="../../images/home.png" alt="Home"></a><a accesskey="n" href="../perf.html"><img src="../../images/next.png" alt="Next"></a>
 </div>
 </body>
 </html>

Modified: sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/ref/mp_number.html
==============================================================================
--- sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/ref/mp_number.html (original)
+++ sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/ref/mp_number.html 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -137,6 +137,16 @@
 <span class="emphasis"><em>unmentionable-expression-template-type</em></span> <span class="identifier">fmod</span> <span class="special">(</span><span class="keyword">const</span> <span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&amp;,</span> <span class="keyword">const</span> <span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&amp;);</span>
 <span class="emphasis"><em>unmentionable-expression-template-type</em></span> <span class="identifier">atan2</span> <span class="special">(</span><span class="keyword">const</span> <span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&amp;,</span> <span class="keyword">const</span> <span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&amp;);</span>
 
+<span class="comment">// Traits support:</span>
+<span class="keyword">template</span> <span class="special">&lt;</span><span class="keyword">class</span> <span class="identifier">T</span><span class="special">&gt;</span>
+<span class="keyword">struct</span> <span class="identifier">component_type</span><span class="special">;</span>
+<span class="keyword">template</span> <span class="special">&lt;</span><span class="keyword">class</span> <span class="identifier">T</span><span class="special">&gt;</span>
+<span class="keyword">struct</span> <span class="identifier">number_category</span><span class="special">;</span>
+
+<span class="comment">// Rational number support:</span>
+<span class="keyword">typename</span> <span class="identifier">component_type</span><span class="special">&lt;</span><span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&gt;::</span><span class="identifier">type</span> <span class="identifier">numerator</span> <span class="special">(</span><span class="keyword">const</span> <span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&amp;);</span>
+<span class="keyword">typename</span> <span class="identifier">component_type</span><span class="special">&lt;</span><span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&gt;::</span><span class="identifier">type</span> <span class="identifier">denominator</span><span class="special">(</span><span class="keyword">const</span> <span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&amp;);</span>
+
 <span class="special">}}</span> <span class="comment">// namespaces</span>
 
 <span class="keyword">namespace</span> <span class="identifier">boost</span><span class="special">{</span> <span class="keyword">namespace</span> <span class="identifier">math</span><span class="special">{</span>
@@ -191,6 +201,16 @@
             Any type that the Backend is constructible or assignable from.
           </li>
 </ul></div>
+<p>
+ In addition, if the type has multiple components (for example rational or
+ complex number types), then there is a two argument constructor:
+ </p>
+<pre class="programlisting"><span class="identifier">mp_number</span><span class="special">(</span><span class="identifier">arg1</span><span class="special">,</span> <span class="identifier">arg2</span><span class="special">);</span>
+</pre>
+<p>
+ Where the two args must either be arithmetic types, or types that are convertible
+ to the two components of <code class="computeroutput"><span class="keyword">this</span></code>.
+ </p>
 <pre class="programlisting"><span class="identifier">mp_number</span><span class="special">&amp;</span> <span class="keyword">operator</span><span class="special">+=(</span><span class="keyword">const</span> <span class="emphasis"><em>see-below</em></span><span class="special">&amp;);</span>
 <span class="identifier">mp_number</span><span class="special">&amp;</span> <span class="keyword">operator</span><span class="special">-=(</span><span class="keyword">const</span> <span class="emphasis"><em>see-below</em></span><span class="special">&amp;);</span>
 <span class="identifier">mp_number</span><span class="special">&amp;</span> <span class="keyword">operator</span><span class="special">*=(</span><span class="keyword">const</span> <span class="emphasis"><em>see-below</em></span><span class="special">&amp;);</span>
@@ -457,6 +477,42 @@
       </p>
 <h5>
 <a name="boost_multiprecision.ref.mp_number.h6"></a>
+ <span><a name="boost_multiprecision.ref.mp_number.traits_class_support"></a></span><a class="link" href="mp_number.html#boost_multiprecision.ref.mp_number.traits_class_support">Traits
+ Class Support</a>
+ </h5>
+<pre class="programlisting"><span class="keyword">template</span> <span class="special">&lt;</span><span class="keyword">class</span> <span class="identifier">T</span><span class="special">&gt;</span>
+<span class="keyword">struct</span> <span class="identifier">component_type</span><span class="special">;</span>
+</pre>
+<p>
+ If this is a type with mutiple components (for example rational or complex
+ types), then this trait has a single member <code class="computeroutput"><span class="identifier">type</span></code>
+ that is the type of those components.
+ </p>
+<pre class="programlisting"><span class="keyword">template</span> <span class="special">&lt;</span><span class="keyword">class</span> <span class="identifier">T</span><span class="special">&gt;</span>
+<span class="keyword">struct</span> <span class="identifier">number_category</span><span class="special">;</span>
+</pre>
+<p>
+ A traits class that inherits from <code class="computeroutput"><span class="identifier">mpl</span><span class="special">::</span><span class="identifier">int_</span><span class="special">&lt;</span><span class="identifier">N</span><span class="special">&gt;</span></code>
+ where <code class="computeroutput"><span class="identifier">N</span></code> is one of the enumerated
+ values <code class="computeroutput"><span class="identifier">number_kind_integer</span></code>,
+ <code class="computeroutput"><span class="identifier">number_kind_floating_point</span></code>,
+ <code class="computeroutput"><span class="identifier">number_kind_rational</span></code> or
+ <code class="computeroutput"><span class="identifier">number_kind_fixed_point</span></code>.
+ </p>
+<h5>
+<a name="boost_multiprecision.ref.mp_number.h7"></a>
+ <span><a name="boost_multiprecision.ref.mp_number.rational_number_functions"></a></span><a class="link" href="mp_number.html#boost_multiprecision.ref.mp_number.rational_number_functions">Rational
+ Number Functions</a>
+ </h5>
+<pre class="programlisting"><span class="keyword">typename</span> <span class="identifier">component_type</span><span class="special">&lt;</span><span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&gt;::</span><span class="identifier">type</span> <span class="identifier">numerator</span> <span class="special">(</span><span class="keyword">const</span> <span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&amp;);</span>
+<span class="keyword">typename</span> <span class="identifier">component_type</span><span class="special">&lt;</span><span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&gt;::</span><span class="identifier">type</span> <span class="identifier">denominator</span><span class="special">(</span><span class="keyword">const</span> <span class="emphasis"><em>mp_number-or-expression-template-type</em></span><span class="special">&amp;);</span>
+</pre>
+<p>
+ These functions return the numerator and denominator of a rational number
+ respectively.
+ </p>
+<h5>
+<a name="boost_multiprecision.ref.mp_number.h8"></a>
         <span><a name="boost_multiprecision.ref.mp_number.boost_math_interoperability_support"></a></span><a class="link" href="mp_number.html#boost_multiprecision.ref.mp_number.boost_math_interoperability_support">Boost.Math
         Interoperability Support</a>
       </h5>
@@ -479,7 +535,7 @@
         to ensure interoperability.
       </p>
 <h5>
-<a name="boost_multiprecision.ref.mp_number.h7"></a>
+<a name="boost_multiprecision.ref.mp_number.h9"></a>
         <span><a name="boost_multiprecision.ref.mp_number.std__numeric_limits_support"></a></span><a class="link" href="mp_number.html#boost_multiprecision.ref.mp_number.std__numeric_limits_support">std::numeric_limits
         support</a>
       </h5>

Modified: sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/tut/rational.html
==============================================================================
--- sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/tut/rational.html (original)
+++ sandbox/big_number/libs/multiprecision/doc/html/boost_multiprecision/tut/rational.html 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -263,6 +263,9 @@
 <span class="identifier">std</span><span class="special">::</span><span class="identifier">cout</span> <span class="special">&lt;&lt;</span> <span class="identifier">numerator</span><span class="special">(</span><span class="identifier">v</span><span class="special">)</span> <span class="special">&lt;&lt;</span> <span class="identifier">std</span><span class="special">::</span><span class="identifier">endl</span><span class="special">;</span>
 <span class="identifier">std</span><span class="special">::</span><span class="identifier">cout</span> <span class="special">&lt;&lt;</span> <span class="identifier">denominator</span><span class="special">(</span><span class="identifier">v</span><span class="special">)</span> <span class="special">&lt;&lt;</span> <span class="identifier">std</span><span class="special">::</span><span class="identifier">endl</span><span class="special">;</span>
 
+<span class="identifier">mpq_rational</span> <span class="identifier">w</span><span class="special">(</span><span class="number">2</span><span class="special">,</span> <span class="number">3</span><span class="special">);</span> <span class="comment">// component wise constructor</span>
+<span class="identifier">std</span><span class="special">::</span><span class="identifier">cout</span> <span class="special">&lt;&lt;</span> <span class="identifier">w</span> <span class="special">&lt;&lt;</span> <span class="identifier">std</span><span class="special">::</span><span class="identifier">endl</span><span class="special">;</span> <span class="comment">// prints 2/3</span>
+
 <span class="comment">// Access the underlying data:</span>
 <span class="identifier">mpq_t</span> <span class="identifier">q</span><span class="special">;</span>
 <span class="identifier">mpq_init</span><span class="special">(</span><span class="identifier">q</span><span class="special">);</span>
@@ -322,6 +325,9 @@
 <span class="identifier">std</span><span class="special">::</span><span class="identifier">cout</span> <span class="special">&lt;&lt;</span> <span class="identifier">numerator</span><span class="special">(</span><span class="identifier">v</span><span class="special">)</span> <span class="special">&lt;&lt;</span> <span class="identifier">std</span><span class="special">::</span><span class="identifier">endl</span><span class="special">;</span>
 <span class="identifier">std</span><span class="special">::</span><span class="identifier">cout</span> <span class="special">&lt;&lt;</span> <span class="identifier">denominator</span><span class="special">(</span><span class="identifier">v</span><span class="special">)</span> <span class="special">&lt;&lt;</span> <span class="identifier">std</span><span class="special">::</span><span class="identifier">endl</span><span class="special">;</span>
 
+<span class="identifier">mp_rational</span> <span class="identifier">w</span><span class="special">(</span><span class="number">2</span><span class="special">,</span> <span class="number">3</span><span class="special">);</span> <span class="comment">// Component wise constructor</span>
+<span class="identifier">std</span><span class="special">::</span><span class="identifier">cout</span> <span class="special">&lt;&lt;</span> <span class="identifier">w</span> <span class="special">&lt;&lt;</span> <span class="identifier">std</span><span class="special">::</span><span class="identifier">endl</span><span class="special">;</span> <span class="comment">// prints 2/3</span>
+
 </pre>
 <p>
       </p>

Modified: sandbox/big_number/libs/multiprecision/doc/html/index.html
==============================================================================
--- sandbox/big_number/libs/multiprecision/doc/html/index.html (original)
+++ sandbox/big_number/libs/multiprecision/doc/html/index.html 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -39,6 +39,14 @@
 <dt><span class="section">mp_number</span></dt>
 <dt><span class="section">Backend Requirements</span></dt>
 </dl></dd>
+<dt><span class="section">Performance Comparison</span></dt>
+<dd><dl>
+<dt><span class="section">Real World Tests</span></dt>
+<dt><span class="section"><a href="boost_multiprecision/perf/float_performance.html">Float Algorithm
+ Perfomance</a></span></dt>
+<dt><span class="section"><a href="boost_multiprecision/perf/integer_performance.html">Integer
+ Algorithm Perfomance</a></span></dt>
+</dl></dd>
 <dt><span class="section">Roadmap</span></dt>
 <dd><dl>
 <dt><span class="section">History</span></dt>
@@ -48,7 +56,7 @@
 </div>
 </div>
 <table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
-<td align="left"><p><small>Last revised: January 12, 2012 at 13:44:32 GMT</small></p></td>
+<td align="left"><p><small>Last revised: January 14, 2012 at 13:20:36 GMT</small></p></td>
 <td align="right"><div class="copyright-footer"></div></td>
 </tr></table>
 <hr>

Modified: sandbox/big_number/libs/multiprecision/doc/multiprecision.qbk
==============================================================================
--- sandbox/big_number/libs/multiprecision/doc/multiprecision.qbk (original)
+++ sandbox/big_number/libs/multiprecision/doc/multiprecision.qbk 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -632,6 +632,16 @@
    ``['unmentionable-expression-template-type]`` fmod (const ``['mp_number-or-expression-template-type]``&, const ``['mp_number-or-expression-template-type]``&);
    ``['unmentionable-expression-template-type]`` atan2 (const ``['mp_number-or-expression-template-type]``&, const ``['mp_number-or-expression-template-type]``&);
 
+ // Traits support:
+ template <class T>
+ struct component_type;
+ template <class T>
+ struct number_category;
+
+ // Rational number support:
+ typename component_type<``['mp_number-or-expression-template-type]``>::type numerator (const ``['mp_number-or-expression-template-type]``&);
+ typename component_type<``['mp_number-or-expression-template-type]``>::type denominator(const ``['mp_number-or-expression-template-type]``&);
+
    }} // namespaces
 
    namespace boost{ namespace math{
@@ -670,6 +680,13 @@
 * A `std::string` or any type which is convertible to `const char*`.
 * Any type that the Backend is constructible or assignable from.
 
+In addition, if the type has multiple components (for example rational or complex number types), then there is a
+two argument constructor:
+
+ mp_number(arg1, arg2);
+
+Where the two args must either be arithmetic types, or types that are convertible to the two components of `this`.
+
       mp_number& operator+=(const ``['see-below]``&);
       mp_number& operator-=(const ``['see-below]``&);
       mp_number& operator*=(const ``['see-below]``&);
@@ -857,6 +874,27 @@
 
 Also note that with the exception of `abs` that these functions can only be used with floating-point Backend types.
 
+[h4 Traits Class Support]
+
+ template <class T>
+ struct component_type;
+
+If this is a type with mutiple components (for example rational or complex types), then this trait has a single member
+`type` that is the type of those components.
+
+ template <class T>
+ struct number_category;
+
+A traits class that inherits from `mpl::int_<N>` where `N` is one of the enumerated values `number_kind_integer`, `number_kind_floating_point`,
+`number_kind_rational` or `number_kind_fixed_point`.
+
+[h4 Rational Number Functions]
+
+ typename component_type<``['mp_number-or-expression-template-type]``>::type numerator (const ``['mp_number-or-expression-template-type]``&);
+ typename component_type<``['mp_number-or-expression-template-type]``>::type denominator(const ``['mp_number-or-expression-template-type]``&);
+
+These functions return the numerator and denominator of a rational number respectively.
+
 [h4 Boost.Math Interoperability Support]
 
    namespace boost{ namespace math{
@@ -904,7 +942,8 @@
 a variable of B, `cb` and `cb2` are constant variables of type B, `a` is a variable of Arithmetic type,
 `s` is a variable of type `const char*`, `ui` is a variable of type `unsigned`, `bb` is a variable of type `bool`,
 `pa` is a variable of type pointer-to-arithmetic-type, `exp` is a variable of type `B::exp_type`,
-`pexp` is a variable of type `B::exp_type*`.
+`pexp` is a variable of type `B::exp_type*`, B2 is another type that meets these requirements, b2 is a variable
+of type B2.
 
 [table Compulsory Requirements on the Backend type.
 [[Expression][Return Type][Comments]]
@@ -956,6 +995,12 @@
 
 [table Optional Requirements on the Backend Type
 [[Expression][Returns][Comments]]
+[[`B(b2)`][`B`][Copy constructor from a different backend type.]]
+[[`b = b2`][`b&`][Assignment operator from a different backend type.]]
+[[`assign_components(b, a, a)`][`void`][Assigns to `b` the two components in the following arguments.
+ Only applies to rational and complex number types.]]
+[[`assign_components(b, b2, b2)`][`void`][Assigns to `b` the two components in the following arguments.
+ Only applies to rational and complex number types.]]
 [[`add(b, a)`][`void`][Adds `a` to `b`. The type of `a` shall be listed in one of the type lists
             `B::signed_types`, `B::unsigned_types` or `B::float_types`.]]
 [[`subtract(b, a)`][`void`][Subtracts `a` from `b`. The type of `a` shall be listed in one of the type lists
@@ -1044,6 +1089,192 @@
 
 [endsect]
 
+[section:perf Performance Comparison]
+
+[section:realworld Real World Tests]
+
+These tests test the total time taken to execute all of Boost.Math's test cases for these functions.
+In each case the best performing library gets a relative score of 1, with the total execution time
+given in brackets. The first three libraries listed are the various floating point types provided
+by this library, while for comparison, two popular C++ frontends to MPFR (mpfr_class and mpreal)
+are also shown.
+
+Test code was compiled with Microsoft Visual Studio 2010 with all optimisations
+turned on (/Ox), and used MPIR-2.3.0 and MPFR-3.0.0. The tests were run on 32-bit
+Windows Vista machine.
+
+[table Bessel Function Performance
+[[Library][50 Decimal Digits][100 Decimal Digits]]
+[[mpfr_float][[*1.0] (6.472s)][1.193 (10.154s)]]
+[[mpf_float][1.801 (11.662s)][[*1.0](8.511s)]]
+[[cpp_float][3.13 (20.285s)][2.46 (21.019s)]]
+[[mpfr_class][1.001 (6.480s)][1.15(9.805s)]]
+[[mpreal][1.542 (9.981s)][1.61 (13.702s)]]
+]
+
+[table Non-Central T Distribution Performance
+[[Library][50 Decimal Digits][100 Decimal Digits]]
+[[mpfr_float][1.308 (258.09s)][1.30 (516.74s)]]
+[[mpf_float][[*1.0] (197.30s)][[*1.0](397.30s)]]
+[[cpp_float][1.695 (334.50s)][2.68 (1064.53s)]]
+[[mpfr_class][1.35 (266.39s)][1.323 (525.74s)]]
+[[mpreal][1.75 (346.64s)][1.635 (649.94s)]]
+]
+
+[endsect]
+
+[section:float_performance Float Algorithm Perfomance]
+
+Note that these tests are carefully designed to test performance of the underlying algorithms
+and not memory allocation or variable copying. As usual, performance results should be taken
+with a healthy dose of scepticsm, and real-world peformance may vary widely depending upon the
+specifics of the program. In each table relative times are given first, with the best performer
+given a score of 1. Total actual times are given in brackets, measured in seconds for 500000
+operations.
+
+Test code was compiled with Microsoft Visual Studio 2010 with all optimisations
+turned on (/Ox), and used MPIR-2.3.0 and MPFR-3.0.0. The tests were run on 32-bit
+Windows Vista machine.
+
+[table Operator *
+[[Backend][50 Decimal Digits][100 Decimal Digits][500 Decimal Digits]]
+[[cpp_float][1.0826 (0.287216s)][1.48086 (0.586363s)][1.57545 (5.05269s)]]
+[[gmp_float][[*1] (0.265302s)][[*1] (0.395962s)][[*1] (3.20714s)]]
+[[mpfr_float][1.24249 (0.329636s)][1.15432 (0.457067s)][1.16182 (3.72612s)]]
+]
+[table Operator +
+[[Backend][50 Decimal Digits][100 Decimal Digits][500 Decimal Digits]]
+[[cpp_float][[*1] (0.0242151s)][[*1] (0.029252s)][[*1] (0.0584099s)]]
+[[gmp_float][4.55194 (0.110226s)][3.67516 (0.107506s)][2.42489 (0.141638s)]]
+[[mpfr_float][2.45362 (0.0594147s)][2.18552 (0.0639309s)][1.32099 (0.0771588s)]]
+]
+[table Operator +(int)
+[[Backend][50 Decimal Digits][100 Decimal Digits][500 Decimal Digits]]
+[[cpp_float][1.51995 (0.0484155s)][1.78781 (0.0611055s)][1.8309 (0.104123s)]]
+[[gmp_float][[*1] (0.0318533s)][[*1] (0.0341789s)][[*1] (0.0568699s)]]
+[[mpfr_float][3.39055 (0.108s)][3.30142 (0.112839s)][2.05293 (0.11675s)]]
+]
+[table Operator -
+[[Backend][50 Decimal Digits][100 Decimal Digits][500 Decimal Digits]]
+[[cpp_float][[*1] (0.0261498s)][[*1] (0.030946s)][[*1] (0.0606388s)]]
+[[gmp_float][4.48753 (0.117348s)][3.75823 (0.116302s)][2.4823 (0.150524s)]]
+[[mpfr_float][2.96057 (0.0774183s)][2.61897 (0.0810465s)][1.56236 (0.0947396s)]]
+]
+[table Operator -(int)
+[[Backend][50 Decimal Digits][100 Decimal Digits][500 Decimal Digits]]
+[[cpp_float][[*1] (0.0567601s)][[*1] (0.0626685s)][[*1] (0.111692s)]]
+[[gmp_float][2.27932 (0.129374s)][2.04821 (0.128358s)][1.48297 (0.165635s)]]
+[[mpfr_float][2.43199 (0.13804s)][2.32131 (0.145473s)][1.38152 (0.154304s)]]
+]
+[table Operator /
+[[Backend][50 Decimal Digits][100 Decimal Digits][500 Decimal Digits]]
+[[cpp_float][3.2662 (3.98153s)][5.07021 (8.11948s)][6.78872 (53.6099s)]]
+[[gmp_float][[*1] (1.21901s)][[*1] (1.60141s)][[*1] (7.89691s)]]
+[[mpfr_float][1.33238 (1.62419s)][1.39529 (2.23443s)][1.70882 (13.4944s)]]
+]
+[table Operator str
+[[Backend][50 Decimal Digits][100 Decimal Digits][500 Decimal Digits]]
+[[cpp_float][1.46076 (0.0192656s)][1.59438 (0.0320398s)][[*1] (0.134302s)]]
+[[gmp_float][[*1] (0.0131888s)][[*1] (0.0200954s)][1.01007 (0.135655s)]]
+[[mpfr_float][2.19174 (0.0289065s)][1.86101 (0.0373977s)][1.15842 (0.155578s)]]
+]
+[endsect]
+
+[section:integer_performance Integer Algorithm Perfomance]
+
+Note that these tests are carefully designed to test performance of the underlying algorithms
+and not memory allocation or variable copying. As usual, performance results should be taken
+with a healthy dose of scepticsm, and real-world peformance may vary widely depending upon the
+specifics of the program. In each table relative times are given first, with the best performer
+given a score of 1. Total actual times are given in brackets, measured in seconds for 500000
+operations.
+
+Test code was compiled with Microsoft Visual Studio 2010 with all optimisations
+turned on (/Ox), and used MPIR-2.3.0 and MPFR-3.0.0. The tests were run on 32-bit
+Windows Vista machine.
+
+[table Operator +
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0031173s)][[*1] (0.00696555s)][[*1] (0.0163707s)][[*1] (0.0314806s)][[*1] (0.0596158s)]]
+[[gmp_int][12.7096 (0.0396194s)][5.89178 (0.0410395s)][2.66402 (0.0436119s)][1.59356 (0.0501664s)][1.11155 (0.0662662s)]]
+[[tommath_int][6.14357 (0.0191513s)][3.16177 (0.0220235s)][1.85441 (0.030358s)][1.45895 (0.0459287s)][1.26576 (0.0754591s)]]
+]
+[table Operator +(int)
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.00329336s)][[*1] (0.00370718s)][[*1] (0.00995385s)][[*1] (0.0117467s)][[*1] (0.0233483s)]]
+[[gmp_int][9.56378 (0.031497s)][8.0588 (0.0298754s)][4.15824 (0.0413905s)][5.47974 (0.0643691s)][4.46265 (0.104195s)]]
+[[tommath_int][76.2624 (0.25116s)][71.3973 (0.264682s)][28.0238 (0.278945s)][25.9035 (0.304282s)][13.1635 (0.307346s)]]
+]
+[table Operator -
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.00359417s)][[*1] (0.00721041s)][[*1] (0.0168213s)][[*1] (0.0323563s)][[*1] (0.061385s)]]
+[[gmp_int][10.6794 (0.0383836s)][5.65517 (0.0407761s)][2.63634 (0.0443466s)][1.59979 (0.0517632s)][1.13379 (0.0695978s)]]
+[[tommath_int][6.43615 (0.0231326s)][3.6161 (0.0260736s)][2.2585 (0.0379908s)][1.52006 (0.0491835s)][1.24231 (0.0762591s)]]
+]
+[table Operator -(int)
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.00353606s)][[*1] (0.00577573s)][[*1] (0.0155184s)][[*1] (0.029385s)][[*1] (0.0586271s)]]
+[[gmp_int][9.04434 (0.0319814s)][5.12393 (0.0295945s)][2.50743 (0.0389112s)][2.01898 (0.0593277s)][1.68381 (0.098717s)]]
+[[tommath_int][60.2486 (0.213043s)][38.3032 (0.221229s)][15.8792 (0.24642s)][8.71166 (0.255992s)][4.85236 (0.28448s)]]
+]
+[table Operator *
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0175309s)][[*1] (0.0388232s)][[*1] (0.123609s)][[*1] (0.427489s)][[*1] (1.46312s)]]
+[[gmp_int][2.93263 (0.0514117s)][1.70358 (0.0661383s)][1.01811 (0.125848s)][1.20692 (0.515943s)][1.03248 (1.51064s)]]
+[[tommath_int][3.82476 (0.0670515s)][2.87425 (0.111587s)][2.74339 (0.339108s)][2.26768 (0.969408s)][2.1233 (3.10664s)]]
+]
+[table Operator /
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0973696s)][[*1] (0.260936s)][[*1] (0.845628s)][2.4597 (2.51371s)][6.21836 (7.93136s)]]
+[[gmp_int][7.66851 (0.74668s)][3.17732 (0.829077s)][1.05006 (0.887961s)][[*1] (1.02196s)][[*1] (1.27547s)]]
+[[tommath_int][18.3945 (1.79107s)][8.11201 (2.11671s)][3.49119 (2.95225s)][4.55727 (4.65733s)][9.06813 (11.5662s)]]
+]
+[table Operator %
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.098458s)][[*1] (0.269155s)][1.10039 (0.849272s)][2.92096 (2.55909s)][7.47157 (7.99106s)]]
+[[gmp_int][6.63934 (0.653697s)][2.6753 (0.72007s)][[*1] (0.771794s)][[*1] (0.87611s)][[*1] (1.06953s)]]
+[[tommath_int][18.5522 (1.82661s)][8.00831 (2.15548s)][3.89737 (3.00797s)][5.38078 (4.71416s)][10.7885 (11.5386s)]]
+]
+[table Operator <<
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0120907s)][[*1] (0.0129147s)][[*1] (0.0214412s)][[*1] (0.0249208s)][[*1] (0.0341293s)]]
+[[gmp_int][1.93756 (0.0234265s)][1.97785 (0.0255433s)][1.43607 (0.0307911s)][1.815 (0.0452311s)][2.00167 (0.0683156s)]]
+[[tommath_int][3.42859 (0.0414542s)][3.04951 (0.0393836s)][3.04202 (0.0652246s)][3.81169 (0.0949903s)][4.93896 (0.168563s)]]
+]
+[table Operator >>
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0064833s)][[*1] (0.00772857s)][[*1] (0.0186871s)][[*1] (0.0218303s)][[*1] (0.0326372s)]]
+[[gmp_int][4.212 (0.0273077s)][3.72696 (0.0288041s)][1.55046 (0.0289735s)][1.51403 (0.0330518s)][1.13695 (0.037107s)]]
+[[tommath_int][33.9418 (0.220055s)][29.104 (0.224932s)][13.8407 (0.258642s)][13.1488 (0.287043s)][15.1741 (0.495242s)]]
+]
+[table Operator &
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0028732s)][[*1] (0.00552933s)][[*1] (0.0125148s)][[*1] (0.020299s)][[*1] (0.034856s)]]
+[[gmp_int][16.3018 (0.0468383s)][9.51109 (0.05259s)][5.20026 (0.0650802s)][4.46545 (0.0906443s)][3.99377 (0.139207s)]]
+[[tommath_int][42.221 (0.121309s)][22.2471 (0.123011s)][11.3587 (0.142151s)][7.3475 (0.149147s)][11.4043 (0.397507s)]]
+]
+[table Operator ^
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.00287983s)][[*1] (0.00543128s)][[*1] (0.0125726s)][[*1] (0.019987s)][[*1] (0.034697s)]]
+[[gmp_int][14.938 (0.0430189s)][9.00973 (0.0489344s)][4.83803 (0.0608267s)][4.33359 (0.0866154s)][3.89518 (0.135151s)]]
+[[tommath_int][41.6898 (0.12006s)][22.4393 (0.121874s)][10.7513 (0.135172s)][7.2632 (0.145169s)][11.5765 (0.401671s)]]
+]
+[table Operator |
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.00314803s)][[*1] (0.00548233s)][[*1] (0.0125434s)][[*1] (0.0198161s)][[*1] (0.034957s)]]
+[[gmp_int][13.0622 (0.0411201s)][8.63936 (0.0473638s)][4.6932 (0.0588688s)][4.25792 (0.0843755s)][3.78236 (0.13222s)]]
+[[tommath_int][38.5896 (0.121481s)][22.3609 (0.12259s)][10.9015 (0.136742s)][7.68521 (0.152291s)][11.6322 (0.406628s)]]
+]
+[table Operator str
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][1.03557 (0.00143356s)][1.39844 (0.00290281s)][3.14081 (0.0099558s)][6.28067 (0.0372769s)][13.2101 (0.188878s)]]
+[[gmp_int][[*1] (0.00138432s)][[*1] (0.00207575s)][[*1] (0.00316982s)][[*1] (0.00593518s)][[*1] (0.014298s)]]
+[[tommath_int][5.31194 (0.00735345s)][7.90724 (0.0164135s)][15.8581 (0.0502673s)][19.7526 (0.117235s)][26.6031 (0.380373s)]]
+]
+[endsect]
+
+[endsect]
+
 [section:map Roadmap]
 
 [section:hist History]
@@ -1056,7 +1287,6 @@
 
 * Add backend support for libdecNumber.
 * Add an adapter backend for complex number types.
-* Adapt libtommath code to make an all C++ fixed precision integer type.
 
 [endsect]
 

Modified: sandbox/big_number/libs/multiprecision/example/gmp_snips.cpp
==============================================================================
--- sandbox/big_number/libs/multiprecision/example/gmp_snips.cpp (original)
+++ sandbox/big_number/libs/multiprecision/example/gmp_snips.cpp 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -71,6 +71,9 @@
    std::cout << numerator(v) << std::endl;
    std::cout << denominator(v) << std::endl;
 
+ mpq_rational w(2, 3); // component wise constructor
+ std::cout << w << std::endl; // prints 2/3
+
    // Access the underlying data:
    mpq_t q;
    mpq_init(q);

Modified: sandbox/big_number/libs/multiprecision/example/tommath_snips.cpp
==============================================================================
--- sandbox/big_number/libs/multiprecision/example/tommath_snips.cpp (original)
+++ sandbox/big_number/libs/multiprecision/example/tommath_snips.cpp 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -59,6 +59,9 @@
    std::cout << numerator(v) << std::endl;
    std::cout << denominator(v) << std::endl;
 
+ mp_rational w(2, 3); // Component wise constructor
+ std::cout << w << std::endl; // prints 2/3
+
    //]
 }
 

Added: sandbox/big_number/libs/multiprecision/performance/performance_test-msvc-10.log
==============================================================================
--- (empty file)
+++ sandbox/big_number/libs/multiprecision/performance/performance_test-msvc-10.log 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -0,0 +1,447 @@
+gmp_float 50 + 0.110226
+gmp_float 50 - 0.117348
+gmp_float 50 +(int)0.0318533
+gmp_float 50 -(int)0.129374
+gmp_float 50 * 0.265302
+gmp_float 50 / 1.21901
+gmp_float 50 str 0.0131888
+gmp_float 100 + 0.107506
+gmp_float 100 - 0.116302
+gmp_float 100 +(int)0.0341789
+gmp_float 100 -(int)0.128358
+gmp_float 100 * 0.395962
+gmp_float 100 / 1.60141
+gmp_float 100 str 0.0200954
+gmp_float 500 + 0.141638
+gmp_float 500 - 0.150524
+gmp_float 500 +(int)0.0568699
+gmp_float 500 -(int)0.165635
+gmp_float 500 * 3.20714
+gmp_float 500 / 7.89691
+gmp_float 500 str 0.135655
+gmp_int 64 + 0.0396194
+gmp_int 64 - 0.0383836
+gmp_int 64 +(int)0.031497
+gmp_int 64 -(int)0.0319814
+gmp_int 64 * 0.0514117
+gmp_int 64 / 0.74668
+gmp_int 64 str 0.00138432
+gmp_int 64 % 0.653697
+gmp_int 64 | 0.0411201
+gmp_int 64 & 0.0468383
+gmp_int 64 ^ 0.0430189
+gmp_int 64 << 0.0234265
+gmp_int 64 >> 0.0273077
+gmp_int 128 + 0.0410395
+gmp_int 128 - 0.0407761
+gmp_int 128 +(int)0.0298754
+gmp_int 128 -(int)0.0295945
+gmp_int 128 * 0.0661383
+gmp_int 128 / 0.829077
+gmp_int 128 str 0.00207575
+gmp_int 128 % 0.72007
+gmp_int 128 | 0.0473638
+gmp_int 128 & 0.05259
+gmp_int 128 ^ 0.0489344
+gmp_int 128 << 0.0255433
+gmp_int 128 >> 0.0288041
+gmp_int 256 + 0.0436119
+gmp_int 256 - 0.0443466
+gmp_int 256 +(int)0.0413905
+gmp_int 256 -(int)0.0389112
+gmp_int 256 * 0.125848
+gmp_int 256 / 0.887961
+gmp_int 256 str 0.00316982
+gmp_int 256 % 0.771794
+gmp_int 256 | 0.0588688
+gmp_int 256 & 0.0650802
+gmp_int 256 ^ 0.0608267
+gmp_int 256 << 0.0307911
+gmp_int 256 >> 0.0289735
+gmp_int 512 + 0.0501664
+gmp_int 512 - 0.0517632
+gmp_int 512 +(int)0.0643691
+gmp_int 512 -(int)0.0593277
+gmp_int 512 * 0.515943
+gmp_int 512 / 1.02196
+gmp_int 512 str 0.00593518
+gmp_int 512 % 0.87611
+gmp_int 512 | 0.0843755
+gmp_int 512 & 0.0906443
+gmp_int 512 ^ 0.0866154
+gmp_int 512 << 0.0452311
+gmp_int 512 >> 0.0330518
+gmp_int 1024 + 0.0662662
+gmp_int 1024 - 0.0695978
+gmp_int 1024 +(int)0.104195
+gmp_int 1024 -(int)0.098717
+gmp_int 1024 * 1.51064
+gmp_int 1024 / 1.27547
+gmp_int 1024 str 0.014298
+gmp_int 1024 % 1.06953
+gmp_int 1024 | 0.13222
+gmp_int 1024 & 0.139207
+gmp_int 1024 ^ 0.135151
+gmp_int 1024 << 0.0683156
+gmp_int 1024 >> 0.037107
+mpq_rational 64 + 1.47058
+mpq_rational 64 - 1.47214
+mpq_rational 64 +(int)0.654198
+mpq_rational 64 -(int)0.646626
+mpq_rational 64 * 2.63854
+mpq_rational 64 / 9.24093
+mpq_rational 64 str 0.00265152
+mpq_rational 128 + 3.18485
+mpq_rational 128 - 3.1691
+mpq_rational 128 +(int)0.66159
+mpq_rational 128 -(int)0.657712
+mpq_rational 128 * 5.8426
+mpq_rational 128 / 14.6415
+mpq_rational 128 str 0.00372512
+mpq_rational 256 + 6.67422
+mpq_rational 256 - 6.67532
+mpq_rational 256 +(int)0.705687
+mpq_rational 256 -(int)0.704919
+mpq_rational 256 * 12.6093
+mpq_rational 256 / 26.2341
+mpq_rational 256 str 0.00573139
+mpq_rational 512 + 15.5117
+mpq_rational 512 - 15.6279
+mpq_rational 512 +(int)0.817714
+mpq_rational 512 -(int)0.818141
+mpq_rational 512 * 28.654
+mpq_rational 512 / 52.808
+mpq_rational 512 str 0.011966
+mpq_rational 1024 + 37.688
+mpq_rational 1024 - 37.6616
+mpq_rational 1024 +(int)0.925526
+mpq_rational 1024 -(int)0.935657
+mpq_rational 1024 * 68.7938
+mpq_rational 1024 / 119.722
+mpq_rational 1024 str 0.0288116
+tommath_int 64 + 0.0191513
+tommath_int 64 - 0.0231326
+tommath_int 64 +(int)0.25116
+tommath_int 64 -(int)0.213043
+tommath_int 64 * 0.0670515
+tommath_int 64 / 1.79107
+tommath_int 64 str 0.00735345
+tommath_int 64 % 1.82661
+tommath_int 64 | 0.121481
+tommath_int 64 & 0.121309
+tommath_int 64 ^ 0.12006
+tommath_int 64 << 0.0414542
+tommath_int 64 >> 0.220055
+tommath_int 128 + 0.0220235
+tommath_int 128 - 0.0260736
+tommath_int 128 +(int)0.264682
+tommath_int 128 -(int)0.221229
+tommath_int 128 * 0.111587
+tommath_int 128 / 2.11671
+tommath_int 128 str 0.0164135
+tommath_int 128 % 2.15548
+tommath_int 128 | 0.12259
+tommath_int 128 & 0.123011
+tommath_int 128 ^ 0.121874
+tommath_int 128 << 0.0393836
+tommath_int 128 >> 0.224932
+tommath_int 256 + 0.030358
+tommath_int 256 - 0.0379908
+tommath_int 256 +(int)0.278945
+tommath_int 256 -(int)0.24642
+tommath_int 256 * 0.339108
+tommath_int 256 / 2.95225
+tommath_int 256 str 0.0502673
+tommath_int 256 % 3.00797
+tommath_int 256 | 0.136742
+tommath_int 256 & 0.142151
+tommath_int 256 ^ 0.135172
+tommath_int 256 << 0.0652246
+tommath_int 256 >> 0.258642
+tommath_int 512 + 0.0459287
+tommath_int 512 - 0.0491835
+tommath_int 512 +(int)0.304282
+tommath_int 512 -(int)0.255992
+tommath_int 512 * 0.969408
+tommath_int 512 / 4.65733
+tommath_int 512 str 0.117235
+tommath_int 512 % 4.71416
+tommath_int 512 | 0.152291
+tommath_int 512 & 0.149147
+tommath_int 512 ^ 0.145169
+tommath_int 512 << 0.0949903
+tommath_int 512 >> 0.287043
+tommath_int 1024 + 0.0754591
+tommath_int 1024 - 0.0762591
+tommath_int 1024 +(int)0.307346
+tommath_int 1024 -(int)0.28448
+tommath_int 1024 * 3.10664
+tommath_int 1024 / 11.5662
+tommath_int 1024 str 0.380373
+tommath_int 1024 % 11.5386
+tommath_int 1024 | 0.406628
+tommath_int 1024 & 0.397507
+tommath_int 1024 ^ 0.401671
+tommath_int 1024 << 0.168563
+tommath_int 1024 >> 0.495242
+fixed_int 64 + 0.0031173
+fixed_int 64 - 0.00359417
+fixed_int 64 +(int)0.00329336
+fixed_int 64 -(int)0.00353606
+fixed_int 64 * 0.0175309
+fixed_int 64 / 0.0973696
+fixed_int 64 str 0.00143356
+fixed_int 64 % 0.098458
+fixed_int 64 | 0.00314803
+fixed_int 64 & 0.0028732
+fixed_int 64 ^ 0.00287983
+fixed_int 64 << 0.0120907
+fixed_int 64 >> 0.0064833
+fixed_int 128 + 0.00696555
+fixed_int 128 - 0.00721041
+fixed_int 128 +(int)0.00370718
+fixed_int 128 -(int)0.00577573
+fixed_int 128 * 0.0388232
+fixed_int 128 / 0.260936
+fixed_int 128 str 0.00290281
+fixed_int 128 % 0.269155
+fixed_int 128 | 0.00548233
+fixed_int 128 & 0.00552933
+fixed_int 128 ^ 0.00543128
+fixed_int 128 << 0.0129147
+fixed_int 128 >> 0.00772857
+fixed_int 256 + 0.0163707
+fixed_int 256 - 0.0168213
+fixed_int 256 +(int)0.00995385
+fixed_int 256 -(int)0.0155184
+fixed_int 256 * 0.123609
+fixed_int 256 / 0.845628
+fixed_int 256 str 0.0099558
+fixed_int 256 % 0.849272
+fixed_int 256 | 0.0125434
+fixed_int 256 & 0.0125148
+fixed_int 256 ^ 0.0125726
+fixed_int 256 << 0.0214412
+fixed_int 256 >> 0.0186871
+fixed_int 512 + 0.0314806
+fixed_int 512 - 0.0323563
+fixed_int 512 +(int)0.0117467
+fixed_int 512 -(int)0.029385
+fixed_int 512 * 0.427489
+fixed_int 512 / 2.51371
+fixed_int 512 str 0.0372769
+fixed_int 512 % 2.55909
+fixed_int 512 | 0.0198161
+fixed_int 512 & 0.020299
+fixed_int 512 ^ 0.019987
+fixed_int 512 << 0.0249208
+fixed_int 512 >> 0.0218303
+fixed_int 1024 + 0.0596158
+fixed_int 1024 - 0.061385
+fixed_int 1024 +(int)0.0233483
+fixed_int 1024 -(int)0.0586271
+fixed_int 1024 * 1.46312
+fixed_int 1024 / 7.93136
+fixed_int 1024 str 0.188878
+fixed_int 1024 % 7.99106
+fixed_int 1024 | 0.034957
+fixed_int 1024 & 0.034856
+fixed_int 1024 ^ 0.034697
+fixed_int 1024 << 0.0341293
+fixed_int 1024 >> 0.0326372
+cpp_float 50 + 0.0242151
+cpp_float 50 - 0.0261498
+cpp_float 50 +(int)0.0484155
+cpp_float 50 -(int)0.0567601
+cpp_float 50 * 0.287216
+cpp_float 50 / 3.98153
+cpp_float 50 str 0.0192656
+cpp_float 100 + 0.029252
+cpp_float 100 - 0.030946
+cpp_float 100 +(int)0.0611055
+cpp_float 100 -(int)0.0626685
+cpp_float 100 * 0.586363
+cpp_float 100 / 8.11948
+cpp_float 100 str 0.0320398
+cpp_float 500 + 0.0584099
+cpp_float 500 - 0.0606388
+cpp_float 500 +(int)0.104123
+cpp_float 500 -(int)0.111692
+cpp_float 500 * 5.05269
+cpp_float 500 / 53.6099
+cpp_float 500 str 0.134302
+mpfr_float 50 + 0.0594147
+mpfr_float 50 - 0.0774183
+mpfr_float 50 +(int)0.108
+mpfr_float 50 -(int)0.13804
+mpfr_float 50 * 0.329636
+mpfr_float 50 / 1.62419
+mpfr_float 50 str 0.0289065
+mpfr_float 100 + 0.0639309
+mpfr_float 100 - 0.0810465
+mpfr_float 100 +(int)0.112839
+mpfr_float 100 -(int)0.145473
+mpfr_float 100 * 0.457067
+mpfr_float 100 / 2.23443
+mpfr_float 100 str 0.0373977
+mpfr_float 500 + 0.0771588
+mpfr_float 500 - 0.0947396
+mpfr_float 500 +(int)0.11675
+mpfr_float 500 -(int)0.154304
+mpfr_float 500 * 3.72612
+mpfr_float 500 / 13.4944
+mpfr_float 500 str 0.155578
+[section:float_performance Float Type Perfomance]
+[table Operator *
+[[Backend][50 Bits][100 Bits][500 Bits]]
+[[cpp_float][1.0826 (0.287216s)][1.48086 (0.586363s)][1.57545 (5.05269s)]]
+[[gmp_float][[*1] (0.265302s)][[*1] (0.395962s)][[*1] (3.20714s)]]
+[[mpfr_float][1.24249 (0.329636s)][1.15432 (0.457067s)][1.16182 (3.72612s)]]
+]
+[table Operator +
+[[Backend][50 Bits][100 Bits][500 Bits]]
+[[cpp_float][[*1] (0.0242151s)][[*1] (0.029252s)][[*1] (0.0584099s)]]
+[[gmp_float][4.55194 (0.110226s)][3.67516 (0.107506s)][2.42489 (0.141638s)]]
+[[mpfr_float][2.45362 (0.0594147s)][2.18552 (0.0639309s)][1.32099 (0.0771588s)]]
+]
+[table Operator +(int)
+[[Backend][50 Bits][100 Bits][500 Bits]]
+[[cpp_float][1.51995 (0.0484155s)][1.78781 (0.0611055s)][1.8309 (0.104123s)]]
+[[gmp_float][[*1] (0.0318533s)][[*1] (0.0341789s)][[*1] (0.0568699s)]]
+[[mpfr_float][3.39055 (0.108s)][3.30142 (0.112839s)][2.05293 (0.11675s)]]
+]
+[table Operator -
+[[Backend][50 Bits][100 Bits][500 Bits]]
+[[cpp_float][[*1] (0.0261498s)][[*1] (0.030946s)][[*1] (0.0606388s)]]
+[[gmp_float][4.48753 (0.117348s)][3.75823 (0.116302s)][2.4823 (0.150524s)]]
+[[mpfr_float][2.96057 (0.0774183s)][2.61897 (0.0810465s)][1.56236 (0.0947396s)]]
+]
+[table Operator -(int)
+[[Backend][50 Bits][100 Bits][500 Bits]]
+[[cpp_float][[*1] (0.0567601s)][[*1] (0.0626685s)][[*1] (0.111692s)]]
+[[gmp_float][2.27932 (0.129374s)][2.04821 (0.128358s)][1.48297 (0.165635s)]]
+[[mpfr_float][2.43199 (0.13804s)][2.32131 (0.145473s)][1.38152 (0.154304s)]]
+]
+[table Operator /
+[[Backend][50 Bits][100 Bits][500 Bits]]
+[[cpp_float][3.2662 (3.98153s)][5.07021 (8.11948s)][6.78872 (53.6099s)]]
+[[gmp_float][[*1] (1.21901s)][[*1] (1.60141s)][[*1] (7.89691s)]]
+[[mpfr_float][1.33238 (1.62419s)][1.39529 (2.23443s)][1.70882 (13.4944s)]]
+]
+[table Operator str
+[[Backend][50 Bits][100 Bits][500 Bits]]
+[[cpp_float][1.46076 (0.0192656s)][1.59438 (0.0320398s)][[*1] (0.134302s)]]
+[[gmp_float][[*1] (0.0131888s)][[*1] (0.0200954s)][1.01007 (0.135655s)]]
+[[mpfr_float][2.19174 (0.0289065s)][1.86101 (0.0373977s)][1.15842 (0.155578s)]]
+]
+[endsect]
+[section:integer_performance Integer Type Perfomance]
+[table Operator %
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.098458s)][[*1] (0.269155s)][1.10039 (0.849272s)][2.92096 (2.55909s)][7.47157 (7.99106s)]]
+[[gmp_int][6.63934 (0.653697s)][2.6753 (0.72007s)][[*1] (0.771794s)][[*1] (0.87611s)][[*1] (1.06953s)]]
+[[tommath_int][18.5522 (1.82661s)][8.00831 (2.15548s)][3.89737 (3.00797s)][5.38078 (4.71416s)][10.7885 (11.5386s)]]
+]
+[table Operator &
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0028732s)][[*1] (0.00552933s)][[*1] (0.0125148s)][[*1] (0.020299s)][[*1] (0.034856s)]]
+[[gmp_int][16.3018 (0.0468383s)][9.51109 (0.05259s)][5.20026 (0.0650802s)][4.46545 (0.0906443s)][3.99377 (0.139207s)]]
+[[tommath_int][42.221 (0.121309s)][22.2471 (0.123011s)][11.3587 (0.142151s)][7.3475 (0.149147s)][11.4043 (0.397507s)]]
+]
+[table Operator *
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0175309s)][[*1] (0.0388232s)][[*1] (0.123609s)][[*1] (0.427489s)][[*1] (1.46312s)]]
+[[gmp_int][2.93263 (0.0514117s)][1.70358 (0.0661383s)][1.01811 (0.125848s)][1.20692 (0.515943s)][1.03248 (1.51064s)]]
+[[tommath_int][3.82476 (0.0670515s)][2.87425 (0.111587s)][2.74339 (0.339108s)][2.26768 (0.969408s)][2.1233 (3.10664s)]]
+]
+[table Operator +
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0031173s)][[*1] (0.00696555s)][[*1] (0.0163707s)][[*1] (0.0314806s)][[*1] (0.0596158s)]]
+[[gmp_int][12.7096 (0.0396194s)][5.89178 (0.0410395s)][2.66402 (0.0436119s)][1.59356 (0.0501664s)][1.11155 (0.0662662s)]]
+[[tommath_int][6.14357 (0.0191513s)][3.16177 (0.0220235s)][1.85441 (0.030358s)][1.45895 (0.0459287s)][1.26576 (0.0754591s)]]
+]
+[table Operator +(int)
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.00329336s)][[*1] (0.00370718s)][[*1] (0.00995385s)][[*1] (0.0117467s)][[*1] (0.0233483s)]]
+[[gmp_int][9.56378 (0.031497s)][8.0588 (0.0298754s)][4.15824 (0.0413905s)][5.47974 (0.0643691s)][4.46265 (0.104195s)]]
+[[tommath_int][76.2624 (0.25116s)][71.3973 (0.264682s)][28.0238 (0.278945s)][25.9035 (0.304282s)][13.1635 (0.307346s)]]
+]
+[table Operator -
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.00359417s)][[*1] (0.00721041s)][[*1] (0.0168213s)][[*1] (0.0323563s)][[*1] (0.061385s)]]
+[[gmp_int][10.6794 (0.0383836s)][5.65517 (0.0407761s)][2.63634 (0.0443466s)][1.59979 (0.0517632s)][1.13379 (0.0695978s)]]
+[[tommath_int][6.43615 (0.0231326s)][3.6161 (0.0260736s)][2.2585 (0.0379908s)][1.52006 (0.0491835s)][1.24231 (0.0762591s)]]
+]
+[table Operator -(int)
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.00353606s)][[*1] (0.00577573s)][[*1] (0.0155184s)][[*1] (0.029385s)][[*1] (0.0586271s)]]
+[[gmp_int][9.04434 (0.0319814s)][5.12393 (0.0295945s)][2.50743 (0.0389112s)][2.01898 (0.0593277s)][1.68381 (0.098717s)]]
+[[tommath_int][60.2486 (0.213043s)][38.3032 (0.221229s)][15.8792 (0.24642s)][8.71166 (0.255992s)][4.85236 (0.28448s)]]
+]
+[table Operator /
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0973696s)][[*1] (0.260936s)][[*1] (0.845628s)][2.4597 (2.51371s)][6.21836 (7.93136s)]]
+[[gmp_int][7.66851 (0.74668s)][3.17732 (0.829077s)][1.05006 (0.887961s)][[*1] (1.02196s)][[*1] (1.27547s)]]
+[[tommath_int][18.3945 (1.79107s)][8.11201 (2.11671s)][3.49119 (2.95225s)][4.55727 (4.65733s)][9.06813 (11.5662s)]]
+]
+[table Operator <<
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0120907s)][[*1] (0.0129147s)][[*1] (0.0214412s)][[*1] (0.0249208s)][[*1] (0.0341293s)]]
+[[gmp_int][1.93756 (0.0234265s)][1.97785 (0.0255433s)][1.43607 (0.0307911s)][1.815 (0.0452311s)][2.00167 (0.0683156s)]]
+[[tommath_int][3.42859 (0.0414542s)][3.04951 (0.0393836s)][3.04202 (0.0652246s)][3.81169 (0.0949903s)][4.93896 (0.168563s)]]
+]
+[table Operator >>
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.0064833s)][[*1] (0.00772857s)][[*1] (0.0186871s)][[*1] (0.0218303s)][[*1] (0.0326372s)]]
+[[gmp_int][4.212 (0.0273077s)][3.72696 (0.0288041s)][1.55046 (0.0289735s)][1.51403 (0.0330518s)][1.13695 (0.037107s)]]
+[[tommath_int][33.9418 (0.220055s)][29.104 (0.224932s)][13.8407 (0.258642s)][13.1488 (0.287043s)][15.1741 (0.495242s)]]
+]
+[table Operator ^
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.00287983s)][[*1] (0.00543128s)][[*1] (0.0125726s)][[*1] (0.019987s)][[*1] (0.034697s)]]
+[[gmp_int][14.938 (0.0430189s)][9.00973 (0.0489344s)][4.83803 (0.0608267s)][4.33359 (0.0866154s)][3.89518 (0.135151s)]]
+[[tommath_int][41.6898 (0.12006s)][22.4393 (0.121874s)][10.7513 (0.135172s)][7.2632 (0.145169s)][11.5765 (0.401671s)]]
+]
+[table Operator str
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][1.03557 (0.00143356s)][1.39844 (0.00290281s)][3.14081 (0.0099558s)][6.28067 (0.0372769s)][13.2101 (0.188878s)]]
+[[gmp_int][[*1] (0.00138432s)][[*1] (0.00207575s)][[*1] (0.00316982s)][[*1] (0.00593518s)][[*1] (0.014298s)]]
+[[tommath_int][5.31194 (0.00735345s)][7.90724 (0.0164135s)][15.8581 (0.0502673s)][19.7526 (0.117235s)][26.6031 (0.380373s)]]
+]
+[table Operator |
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[fixed_int][[*1] (0.00314803s)][[*1] (0.00548233s)][[*1] (0.0125434s)][[*1] (0.0198161s)][[*1] (0.034957s)]]
+[[gmp_int][13.0622 (0.0411201s)][8.63936 (0.0473638s)][4.6932 (0.0588688s)][4.25792 (0.0843755s)][3.78236 (0.13222s)]]
+[[tommath_int][38.5896 (0.121481s)][22.3609 (0.12259s)][10.9015 (0.136742s)][7.68521 (0.152291s)][11.6322 (0.406628s)]]
+]
+[endsect]
+[section:rational_performance Rational Type Perfomance]
+[table Operator *
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[mpq_rational][[*1] (2.63854s)][[*1] (5.8426s)][[*1] (12.6093s)][[*1] (28.654s)][[*1] (68.7938s)]]
+]
+[table Operator +
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[mpq_rational][[*1] (1.47058s)][[*1] (3.18485s)][[*1] (6.67422s)][[*1] (15.5117s)][[*1] (37.688s)]]
+]
+[table Operator +(int)
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[mpq_rational][[*1] (0.654198s)][[*1] (0.66159s)][[*1] (0.705687s)][[*1] (0.817714s)][[*1] (0.925526s)]]
+]
+[table Operator -
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[mpq_rational][[*1] (1.47214s)][[*1] (3.1691s)][[*1] (6.67532s)][[*1] (15.6279s)][[*1] (37.6616s)]]
+]
+[table Operator -(int)
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[mpq_rational][[*1] (0.646626s)][[*1] (0.657712s)][[*1] (0.704919s)][[*1] (0.818141s)][[*1] (0.935657s)]]
+]
+[table Operator /
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[mpq_rational][[*1] (9.24093s)][[*1] (14.6415s)][[*1] (26.2341s)][[*1] (52.808s)][[*1] (119.722s)]]
+]
+[table Operator str
+[[Backend][64 Bits][128 Bits][256 Bits][512 Bits][1024 Bits]]
+[[mpq_rational][[*1] (0.00265152s)][[*1] (0.00372512s)][[*1] (0.00573139s)][[*1] (0.011966s)][[*1] (0.0288116s)]]
+]
+[endsect]

Modified: sandbox/big_number/libs/multiprecision/performance/performance_test.cpp
==============================================================================
--- sandbox/big_number/libs/multiprecision/performance/performance_test.cpp (original)
+++ sandbox/big_number/libs/multiprecision/performance/performance_test.cpp 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -50,6 +50,12 @@
 
 #include <boost/chrono.hpp>
 #include <vector>
+#include <map>
+#include <string>
+#include <cstring>
+#include <cctype>
+#include <iostream>
+#include <iomanip>
 #include <boost/random/mersenne_twister.hpp>
 #include <boost/random/uniform_int.hpp>
 
@@ -134,8 +140,8 @@
       stopwatch<boost::chrono::high_resolution_clock> w;
       for(unsigned i = 0; i < 1000; ++i)
       {
- for(unsigned i = 0; i < b.size(); ++i)
- a[i] = b[i] * c[i];
+ for(unsigned k = 0; k < b.size(); ++k)
+ a[k] = b[k] * c[k];
       }
       return boost::chrono::duration_cast<boost::chrono::duration<double> >(w.elapsed()).count();
    }
@@ -253,7 +259,7 @@
 
       typedef typename T::backend_type::exponent_type e_type;
       static boost::random::uniform_int_distribution<e_type> ui(0, std::numeric_limits<T>::max_exponent - 10);
- return ldexp(val, ui(gen));
+ return ldexp(val, static_cast<int>(ui(gen)));
    }
    T generate_random(const boost::mpl::int_<boost::multiprecision::number_kind_integer>&)
    {
@@ -286,6 +292,47 @@
       val %= max_val;
       return val;
    }
+ T generate_random(const boost::mpl::int_<boost::multiprecision::number_kind_rational>&)
+ {
+ typedef boost::random::mt19937::result_type random_type;
+ typedef typename boost::multiprecision::component_type<T>::type IntType;
+
+ IntType max_val;
+ unsigned digits;
+ if(std::numeric_limits<IntType>::is_bounded)
+ {
+ max_val = (std::numeric_limits<IntType>::max)();
+ digits = std::numeric_limits<IntType>::digits;
+ }
+ else
+ {
+ max_val = IntType(1) << bits_wanted;
+ digits = bits_wanted;
+ }
+
+ unsigned bits_per_r_val = std::numeric_limits<random_type>::digits - 1;
+ while((random_type(1) << bits_per_r_val) > (gen.max)()) --bits_per_r_val;
+
+ unsigned terms_needed = digits / bits_per_r_val + 1;
+
+ IntType val = 0;
+ IntType denom = 0;
+ for(unsigned i = 0; i < terms_needed; ++i)
+ {
+ val *= (gen.max)();
+ val += gen();
+ }
+ for(unsigned i = 0; i < terms_needed; ++i)
+ {
+ denom *= (gen.max)();
+ denom += gen();
+ }
+ if(denom == 0)
+ denom = 1;
+ val %= max_val;
+ denom %= max_val;
+ return T(val, denom);
+ }
    std::vector<T> a, b, c, small;
    static boost::random::mt19937 gen;
 };
@@ -293,16 +340,46 @@
 template <class N, int V>
 boost::random::mt19937 tester<N, V>::gen;
 
+const char* category_name(const boost::mpl::int_<boost::multiprecision::number_kind_integer>&)
+{
+ return "integer";
+}
+const char* category_name(const boost::mpl::int_<boost::multiprecision::number_kind_floating_point>&)
+{
+ return "float";
+}
+const char* category_name(const boost::mpl::int_<boost::multiprecision::number_kind_rational>&)
+{
+ return "rational";
+}
+
+//
+// Keys in order are:
+// Category
+// Operator
+// Type
+// Precision
+// Time
+//
+std::map<std::string, std::map<std::string, std::map<std::string, std::map<int, double> > > > result_table;
+
+void report_result(const char* cat, const char* type, const char* op, unsigned precision, double time)
+{
+ std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << op << time << std::endl;
+ result_table[cat][op][type][precision] = time;
+}
+
 template <class Number, int N>
 void test_int_ops(tester<Number, N>& t, const char* type, unsigned precision, const boost::mpl::int_<boost::multiprecision::number_kind_integer>&)
 {
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "%" << t.test_mod() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "|" << t.test_or() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "&" << t.test_and() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "^" << t.test_xor() << std::endl;
- //std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "~" << t.test_complement() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "<<" << t.test_left_shift() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << ">>" << t.test_right_shift() << std::endl;
+ const char* cat = "integer";
+ report_result(cat, type, "%", precision, t.test_mod());
+ report_result(cat, type, "|", precision, t.test_or());
+ report_result(cat, type, "&", precision, t.test_and());
+ report_result(cat, type, "^", precision, t.test_xor());
+ //report_result(cat, type, "~", precision, t.test_complement());
+ report_result(cat, type, "<<", precision, t.test_left_shift());
+ report_result(cat, type, ">>", precision, t.test_right_shift());
 }
 template <class Number, int N, class U>
 void test_int_ops(tester<Number, N>& t, const char* type, unsigned precision, const U&)
@@ -314,17 +391,98 @@
 {
    bits_wanted = precision;
    tester<Number, boost::multiprecision::number_category<Number>::value> t;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "+" << t.test_add() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "-" << t.test_subtract() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "+ (int)" << t.test_add_int() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "- (int)" << t.test_subtract_int() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "*" << t.test_multiply() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "/" << t.test_divide() << std::endl;
- std::cout << std::left << std::setw(15) << type << std::setw(10) << precision << std::setw(5) << "str" << t.test_str() << std::endl;
+ const char* cat = category_name(typename boost::multiprecision::number_category<Number>::type());
+ //
+ // call t.test_multiply() first so that the destination operands are
+ // forced to perform whatever memory allocation may be needed. That way
+ // we measure only algorithm performance, and not memory allocation effects.
+ //
+ t.test_multiply();
+ //
+ // Now the actual tests:
+ //
+ report_result(cat, type, "+", precision, t.test_add());
+ report_result(cat, type, "-", precision, t.test_subtract());
+ report_result(cat, type, "+(int)", precision, t.test_add_int());
+ report_result(cat, type, "-(int)", precision, t.test_subtract_int());
+ report_result(cat, type, "*", precision, t.test_multiply());
+ report_result(cat, type, "/", precision, t.test_divide());
+ report_result(cat, type, "str", precision, t.test_str());
 
    test_int_ops(t, type, precision, typename boost::multiprecision::number_category<Number>::type());
 }
 
+void quickbook_results()
+{
+ //
+ // Keys in order are:
+ // Category
+ // Operator
+ // Type
+ // Precision
+ // Time
+ //
+ typedef std::map<std::string, std::map<std::string, std::map<std::string, std::map<int, double> > > >::const_iterator category_iterator;
+ typedef std::map<std::string, std::map<std::string, std::map<int, double> > >::const_iterator operator_iterator;
+ typedef std::map<std::string, std::map<int, double> >::const_iterator type_iterator;
+ typedef std::map<int, double>::const_iterator precision_iterator;
+
+ for(category_iterator i = result_table.begin(); i != result_table.end(); ++i)
+ {
+ std::string cat = i->first;
+ cat[0] = std::toupper(cat[0]);
+ std::cout << "[section:" << i->first << "_performance " << cat << " Type Perfomance]" << std::endl;
+
+ for(operator_iterator j = i->second.begin(); j != i->second.end(); ++j)
+ {
+ std::string op = j->first;
+ std::cout << "[table Operator " << op << std::endl;
+ std::cout << "[[Backend]";
+
+ for(precision_iterator k = j->second.begin()->second.begin(); k != j->second.begin()->second.end(); ++k)
+ {
+ std::cout << "[" << k->first << " Bits]";
+ }
+ std::cout << "]\n";
+
+ std::vector<double> best_times(j->second.begin()->second.size(), (std::numeric_limits<double>::max)());
+ for(unsigned m = 0; m < j->second.begin()->second.size(); ++m)
+ {
+ for(type_iterator k = j->second.begin(); k != j->second.end(); ++k)
+ {
+ precision_iterator l = k->second.begin();
+ std::advance(l, m);
+ if(best_times[m] > l->second)
+ best_times[m] = l->second;
+ }
+ }
+
+ for(type_iterator k = j->second.begin(); k != j->second.end(); ++k)
+ {
+ std::cout << "[[" << k->first << "]";
+
+ unsigned m = 0;
+ for(precision_iterator l = k->second.begin(); l != k->second.end(); ++l)
+ {
+ double rel_time = l->second / best_times[m];
+ if(rel_time == 1)
+ std::cout << "[[*" << rel_time << "]";
+ else
+ std::cout << "[" << rel_time;
+ std::cout << " (" << l->second << "s)]";
+ ++m;
+ }
+
+ std::cout << "]\n";
+ }
+
+ std::cout << "]\n";
+ }
+
+ std::cout << "[endsect]" << std::endl;
+ }
+}
+
 
 int main()
 {
@@ -339,6 +497,12 @@
    test<boost::multiprecision::mpz_int>("gmp_int", 256);
    test<boost::multiprecision::mpz_int>("gmp_int", 512);
    test<boost::multiprecision::mpz_int>("gmp_int", 1024);
+
+ test<boost::multiprecision::mpq_rational>("mpq_rational", 64);
+ test<boost::multiprecision::mpq_rational>("mpq_rational", 128);
+ test<boost::multiprecision::mpq_rational>("mpq_rational", 256);
+ test<boost::multiprecision::mpq_rational>("mpq_rational", 512);
+ test<boost::multiprecision::mpq_rational>("mpq_rational", 1024);
 #endif
 #ifdef TEST_TOMMATH
    test<boost::multiprecision::mp_int>("tommath_int", 64);
@@ -346,13 +510,23 @@
    test<boost::multiprecision::mp_int>("tommath_int", 256);
    test<boost::multiprecision::mp_int>("tommath_int", 512);
    test<boost::multiprecision::mp_int>("tommath_int", 1024);
+ /*
+ //
+ // These are actually too slow to test!!!
+ //
+ test<boost::multiprecision::mp_rational>("mp_rational", 64);
+ test<boost::multiprecision::mp_rational>("mp_rational", 128);
+ test<boost::multiprecision::mp_rational>("mp_rational", 256);
+ test<boost::multiprecision::mp_rational>("mp_rational", 512);
+ test<boost::multiprecision::mp_rational>("mp_rational", 1024);
+ */
 #endif
 #ifdef TEST_FIXED_INT
- test<boost::multiprecision::mp_number<boost::multiprecision::fixed_int<64, true> > >("mp_int64_t", 64);
- test<boost::multiprecision::mp_int128_t>("mp_int128_t", 128);
- test<boost::multiprecision::mp_int256_t>("mp_int256_t", 256);
- test<boost::multiprecision::mp_int512_t>("mp_int512_t", 512);
- test<boost::multiprecision::mp_number<boost::multiprecision::fixed_int<1024, true> > >("mp_int1024_t", 1024);
+ test<boost::multiprecision::mp_number<boost::multiprecision::fixed_int<64, true> > >("fixed_int", 64);
+ test<boost::multiprecision::mp_int128_t>("fixed_int", 128);
+ test<boost::multiprecision::mp_int256_t>("fixed_int", 256);
+ test<boost::multiprecision::mp_int512_t>("fixed_int", 512);
+ test<boost::multiprecision::mp_number<boost::multiprecision::fixed_int<1024, true> > >("fixed_int", 1024);
 #endif
 #ifdef TEST_CPP_FLOAT
    test<boost::multiprecision::cpp_float_50>("cpp_float", 50);
@@ -364,6 +538,7 @@
    test<boost::multiprecision::mpfr_float_100>("mpfr_float", 100);
    test<boost::multiprecision::mpfr_float_500>("mpfr_float", 500);
 #endif
+ quickbook_results();
    return 0;
 }
 

Modified: sandbox/big_number/libs/multiprecision/performance/sf_performance-msvc-10.log
==============================================================================
--- sandbox/big_number/libs/multiprecision/performance/sf_performance-msvc-10.log (original)
+++ sandbox/big_number/libs/multiprecision/performance/sf_performance-msvc-10.log 2012-01-14 08:24:52 EST (Sat, 14 Jan 2012)
@@ -5,65 +5,65 @@
 13
 27
 Testing Bessel Functions.....
-Time for mpfr_float_50 = 6.2742 seconds
+Time for mpfr_float_50 = 6.47208 seconds
 Total allocations for mpfr_float_50 = 2684348
-Time for mpf_float_50 = 11.2255 seconds
+Time for mpf_float_50 = 11.6627 seconds
 Total allocations for mpf_float_50 = 2601366
-Time for cpp_float_50 = 19.5712 seconds
+Time for cpp_float_50 = 20.2855 seconds
 Total allocations for cpp_float_50 = 0
-Time for mpfr_class (50 digits) = 6.11757 seconds
+Time for mpfr_class (50 digits) = 6.48063 seconds
 Total allocations for mpfr_class (50 digits) = 3946031
-Time for mpreal (50 digits) = 9.38756 seconds
+Time for mpreal (50 digits) = 9.98151 seconds
 Total allocations for mpreal (50 digits) = 13223017
-Time for mpfr_float_100 = 9.61944 seconds
+Time for mpfr_float_100 = 10.154 seconds
 Total allocations for mpfr_float_50 = 3671485
-Time for mpf_float_100 = 8.29211 seconds
+Time for mpf_float_100 = 8.51179 seconds
 Total allocations for mpf_float_100 = 3593669
-Time for cpp_float_100 = 20.4485 seconds
+Time for cpp_float_100 = 21.0198 seconds
 Total allocations for cpp_float_100 = 0
-Time for mpfr_class (100 digits) = 9.88427 seconds
+Time for mpfr_class (100 digits) = 9.80571 seconds
 Total allocations for mpfr_class (100 digits) = 5447348
-Time for mpreal (100 digits) = 13.7811 seconds
+Time for mpreal (100 digits) = 13.7021 seconds
 Total allocations for mpreal (100 digits) = 16671065
 Testing Polynomial Evaluation.....
-Time for mpfr_float_50 = 0.00839464 seconds
+Time for mpfr_float_50 = 0.00823841 seconds
 Total allocations for mpfr_float_50 = 2996
-Time for mpf_float_50 = 0.0042138 seconds
+Time for mpf_float_50 = 0.00401608 seconds
 Total allocations for mpf_float_50 = 2996
-Time for cpp_float_50 = 0.0046054 seconds
+Time for cpp_float_50 = 0.00492116 seconds
 Total allocations for cpp_float_50 = 0
-Time for mpfr_class (50 digits) = 0.00990538 seconds
+Time for mpfr_class (50 digits) = 0.00935629 seconds
 Total allocations for mpfr_class (50 digits) = 12976
-Time for mpreal (50 digits) = 0.0152955 seconds
+Time for mpreal (50 digits) = 0.0148374 seconds
 Total allocations for mpreal (50 digits = 27947
-Time for mpfr_float_100 = 0.00957098 seconds
+Time for mpfr_float_100 = 0.00948452 seconds
 Total allocations for mpfr_float_100 = 2996
-Time for mpf_float_100 = 0.00418726 seconds
+Time for mpf_float_100 = 0.00390071 seconds
 Total allocations for mpf_float_100 = 2996
-Time for cpp_float_100 = 0.0090742 seconds
+Time for cpp_float_100 = 0.00893563 seconds
 Total allocations for cpp_float_100 = 0
-Time for mpfr_class (100 digits) = 0.011094 seconds
+Time for mpfr_class (100 digits) = 0.0106166 seconds
 Total allocations for mpfr_class (100 digits) = 12976
-Time for mpreal (100 digits) = 0.0172028 seconds
+Time for mpreal (100 digits) = 0.0162364 seconds
 Total allocations for mpreal (100 digits) = 27947
 Testing Non-Central T.....
-Time for mpfr_float_50 = 260.324 seconds
+Time for mpfr_float_50 = 258.087 seconds
 Total allocations for mpfr_float_50 = 139149049
-Time for mpf_float_50 = 201.95 seconds
+Time for mpf_float_50 = 197.303 seconds
 Total allocations for mpf_float_50 = 134600354
-Time for cpp_float_50 = 340.292 seconds
+Time for cpp_float_50 = 334.503 seconds
 Total allocations for cpp_float_50 = 0
-Time for mpfr_class (50 digits) = 269.03 seconds
+Time for mpfr_class (50 digits) = 266.389 seconds
 Total allocations for mpfr_class (50 digits) = 252401115
-Time for mpreal (50 digits) = 350.758 seconds
+Time for mpreal (50 digits) = 346.641 seconds
 Total allocations for mpreal (50 digits) = 447009420
-Time for mpfr_float_100 = 519.421 seconds
+Time for mpfr_float_100 = 516.741 seconds
 Total allocations for mpfr_float_100 = 220400854
-Time for mpf_float_100 = 404.593 seconds
+Time for mpf_float_100 = 397.302 seconds
 Total allocations for mpf_float_100 = 212307349
-Time for cpp_float_100 = 1118.91 seconds
+Time for cpp_float_100 = 1064.53 seconds
 Total allocations for cpp_float_100 = 0
-Time for mpfr_class (100 digits) = 541.35 seconds
+Time for mpfr_class (100 digits) = 525.74 seconds
 Total allocations for mpfr_class (100 digits) = 407154781
-Time for mpreal (100 digits) = 677.265 seconds
+Time for mpreal (100 digits) = 649.941 seconds
 Total allocations for mpreal (100 digits) = 724581024


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