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diff --git a/boost/random/uniform_real_distribution.hpp b/boost/random/uniform_real_distribution.hpp
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+/* boost random/uniform_real_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * Copyright Steven Watanabe 2011
+ * 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)
+ *
+ * See http://www.boost.org for most recent version including documentation.
+ *
+ * $Id: uniform_real_distribution.hpp 71018 2011-04-05 21:27:52Z steven_watanabe $
+ *
+ */
+
+#ifndef BOOST_RANDOM_UNIFORM_REAL_DISTRIBUTION_HPP
+#define BOOST_RANDOM_UNIFORM_REAL_DISTRIBUTION_HPP
+
+#include <iosfwd>
+#include <ios>
+#include <istream>
+#include <boost/assert.hpp>
+#include <boost/config.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/detail/operators.hpp>
+#include <boost/random/detail/signed_unsigned_tools.hpp>
+#include <boost/type_traits/is_integral.hpp>
+
+namespace boost {
+namespace random {
+namespace detail {
+
+template<class Engine, class T>
+T generate_uniform_real(
+    Engine& eng, T min_value, T max_value,
+    boost::mpl::false_  /** is_integral<Engine::result_type> */)
+{
+    for(;;) {
+        typedef T result_type;
+        typedef typename Engine::result_type base_result;
+        result_type numerator = static_cast<T>(eng() - (eng.min)());
+        result_type divisor = static_cast<T>((eng.max)() - (eng.min)());
+        BOOST_ASSERT(divisor > 0);
+        BOOST_ASSERT(numerator >= 0 && numerator <= divisor);
+        T result = numerator / divisor * (max_value - min_value) + min_value;
+        if(result < max_value) return result;
+    }
+}
+
+template<class Engine, class T>
+T generate_uniform_real(
+    Engine& eng, T min_value, T max_value,
+    boost::mpl::true_  /** is_integral<Engine::result_type> */)
+{
+    for(;;) {
+        typedef T result_type;
+        typedef typename Engine::result_type base_result;
+        result_type numerator = static_cast<T>(subtract<base_result>()(eng(), (eng.min)()));
+        result_type divisor = static_cast<T>(subtract<base_result>()((eng.max)(), (eng.min)())) + 1;
+        BOOST_ASSERT(divisor > 0);
+        BOOST_ASSERT(numerator >= 0 && numerator <= divisor);
+        T result = numerator / divisor * (max_value - min_value) + min_value;
+        if(result < max_value) return result;
+    }
+}
+
+template<class Engine, class T>
+inline T generate_uniform_real(Engine& eng, T min_value, T max_value)
+{
+    typedef typename Engine::result_type base_result;
+    return generate_uniform_real(eng, min_value, max_value,
+        boost::is_integral<base_result>());
+}
+
+}
+
+/**
+ * The class template uniform_real_distribution models a \random_distribution.
+ * On each invocation, it returns a random floating-point value uniformly
+ * distributed in the range [min..max).
+ */
+template<class RealType = double>
+class uniform_real_distribution
+{
+public:
+    typedef RealType input_type;
+    typedef RealType result_type;
+
+    class param_type
+    {
+    public:
+
+        typedef uniform_real_distribution distribution_type;
+
+        /**
+         * Constructs the parameters of a uniform_real_distribution.
+         *
+         * Requires min <= max
+         */
+        explicit param_type(RealType min_arg = RealType(0.0),
+                            RealType max_arg = RealType(1.0))
+          : _min(min_arg), _max(max_arg)
+        {
+            BOOST_ASSERT(_min <= _max);
+        }
+
+        /** Returns the minimum value of the distribution. */
+        RealType a() const { return _min; }
+        /** Returns the maximum value of the distribution. */
+        RealType b() const { return _max; }
+
+        /** Writes the parameters to a @c std::ostream. */
+        BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm)
+        {
+            os << parm._min << " " << parm._max;
+            return os;
+        }
+
+        /** Reads the parameters from a @c std::istream. */
+        BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm)
+        {
+            RealType min_in, max_in;
+            if(is >> min_in >> std::ws >> max_in) {
+                if(min_in <= max_in) {
+                    parm._min = min_in;
+                    parm._max = max_in;
+                } else {
+                    is.setstate(std::ios_base::failbit);
+                }
+            }
+            return is;
+        }
+
+        /** Returns true if the two sets of parameters are equal. */
+        BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs)
+        { return lhs._min == rhs._min && lhs._max == rhs._max; }
+
+        /** Returns true if the two sets of parameters are different. */
+        BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type)
+
+    private:
+
+        RealType _min;
+        RealType _max;
+    };
+
+    /**
+     * Constructs a uniform_real_distribution. @c min and @c max are
+     * the parameters of the distribution.
+     *
+     * Requires: min <= max
+     */
+    explicit uniform_real_distribution(
+        RealType min_arg = RealType(0.0),
+        RealType max_arg = RealType(1.0))
+      : _min(min_arg), _max(max_arg)
+    {
+        BOOST_ASSERT(min_arg <= max_arg);
+    }
+    /** Constructs a uniform_real_distribution from its parameters. */
+    explicit uniform_real_distribution(const param_type& parm)
+      : _min(parm.a()), _max(parm.b()) {}
+
+    /**  Returns the minimum value of the distribution */
+    RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _min; }
+    /**  Returns the maximum value of the distribution */
+    RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _max; }
+
+    /**  Returns the minimum value of the distribution */
+    RealType a() const { return _min; }
+    /**  Returns the maximum value of the distribution */
+    RealType b() const { return _max; }
+
+    /** Returns the parameters of the distribution. */
+    param_type param() const { return param_type(_min, _max); }
+    /** Sets the parameters of the distribution. */
+    void param(const param_type& parm)
+    {
+        _min = parm.a();
+        _max = parm.b();
+    }
+
+    /**
+     * Effects: Subsequent uses of the distribution do not depend
+     * on values produced by any engine prior to invoking reset.
+     */
+    void reset() { }
+
+    /** Returns a value uniformly distributed in the range [min, max). */
+    template<class Engine>
+    result_type operator()(Engine& eng) const
+    { return detail::generate_uniform_real(eng, _min, _max); }
+
+    /**
+     * Returns a value uniformly distributed in the range
+     * [param.a(), param.b()).
+     */
+    template<class Engine>
+    result_type operator()(Engine& eng, const param_type& parm) const
+    { return detail::generate_uniform_real(eng, parm.a(), parm.b()); }
+
+    /** Writes the distribution to a @c std::ostream. */
+    BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, uniform_real_distribution, ud)
+    {
+        os << ud.param();
+        return os;
+    }
+
+    /** Reads the distribution from a @c std::istream. */
+    BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, uniform_real_distribution, ud)
+    {
+        param_type parm;
+        if(is >> parm) {
+            ud.param(parm);
+        }
+        return is;
+    }
+
+    /**
+     * Returns true if the two distributions will produce identical sequences
+     * of values given equal generators.
+     */
+    BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(uniform_real_distribution, lhs, rhs)
+    { return lhs._min == rhs._min && lhs._max == rhs._max; }
+    
+    /**
+     * Returns true if the two distributions may produce different sequences
+     * of values given equal generators.
+     */
+    BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(uniform_real_distribution)
+
+private:
+    RealType _min;
+    RealType _max;
+};
+
+} // namespace random
+} // namespace boost
+
+#endif // BOOST_RANDOM_UNIFORM_INT_HPP