Adding boost random support and system libs

Boost/boost/random.hpp

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+/* boost random.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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/libs/random for documentation.
+ *
+ * $Id: random.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2000-02-18  portability fixes (thanks to Beman Dawes)
+ *  2000-02-21  shuffle_output, inversive_congruential_schrage,
+ *              generator_iterator, uniform_smallint
+ *  2000-02-23  generic modulus arithmetic helper, removed *_schrage classes,
+ *              implemented Streamable and EqualityComparable concepts for 
+ *              generators, added Bernoulli distribution and Box-Muller
+ *              transform
+ *  2000-03-01  cauchy, lognormal, triangle distributions; fixed 
+ *              uniform_smallint; renamed gaussian to normal distribution
+ *  2000-03-05  implemented iterator syntax for distribution functions
+ *  2000-04-21  removed some optimizations for better BCC/MSVC compatibility
+ *  2000-05-10  adapted to BCC and MSVC
+ *  2000-06-13  incorporated review results
+ *  2000-07-06  moved basic templates from namespace detail to random
+ *  2000-09-23  warning removals and int64 fixes (Ed Brey)
+ *  2000-09-24  added lagged_fibonacci generator (Matthias Troyer)
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_HPP
+#define BOOST_RANDOM_HPP
+
+// generators
+#include <boost/random/linear_congruential.hpp>
+#include <boost/random/additive_combine.hpp>
+#include <boost/random/inversive_congruential.hpp>
+#include <boost/random/shuffle_output.hpp>
+#include <boost/random/mersenne_twister.hpp>
+#include <boost/random/lagged_fibonacci.hpp>
+#include <boost/random/ranlux.hpp>
+#include <boost/random/linear_feedback_shift.hpp>
+#include <boost/random/xor_combine.hpp>
+#include <boost/random/discard_block.hpp>
+#include <boost/random/subtract_with_carry.hpp>
+#include <boost/random/variate_generator.hpp>
+
+namespace boost {
+  /** 
+   * The specialization taus88 was suggested in
+   *
+   *  @blockquote
+   *  "Maximally Equidistributed Combined Tausworthe Generators",
+   *  Pierre L'Ecuyer, Mathematics of Computation, Volume 65,
+   *  Number 213, January 1996, Pages 203-213
+   *  @endblockquote
+   */
+  typedef random::xor_combine<random::xor_combine<random::linear_feedback_shift<uint32_t, 32, 31, 13, 12, 0>, 0,
+    random::linear_feedback_shift<uint32_t, 32, 29, 2, 4, 0>, 0, 0>, 0,
+                      random::linear_feedback_shift<uint32_t, 32, 28, 3, 17, 0>, 0, 0> taus88;
+} // namespace  boost
+
+// misc
+#include <boost/random/random_number_generator.hpp>
+
+// distributions
+#include <boost/random/uniform_smallint.hpp>
+#include <boost/random/uniform_int.hpp>
+#include <boost/random/uniform_01.hpp>
+#include <boost/random/uniform_real.hpp>
+#include <boost/random/triangle_distribution.hpp>
+#include <boost/random/bernoulli_distribution.hpp>
+#include <boost/random/cauchy_distribution.hpp>
+#include <boost/random/exponential_distribution.hpp>
+#include <boost/random/geometric_distribution.hpp>
+#include <boost/random/normal_distribution.hpp>
+#include <boost/random/lognormal_distribution.hpp>
+#include <boost/random/poisson_distribution.hpp>
+#include <boost/random/gamma_distribution.hpp>
+#include <boost/random/binomial_distribution.hpp>
+#include <boost/random/uniform_on_sphere.hpp>
+
+#endif // BOOST_RANDOM_HPP

Boost/boost/random/additive_combine.hpp

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+/* boost random/additive_combine.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: additive_combine.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_ADDITIVE_COMBINE_HPP
+#define BOOST_RANDOM_ADDITIVE_COMBINE_HPP
+
+#include <iostream>
+#include <algorithm> // for std::min and std::max
+#include <boost/config.hpp>
+#include <boost/cstdint.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/linear_congruential.hpp>
+
+namespace boost {
+namespace random {
+
+/**
+ * An instantiation of class template \additive_combine model a
+ * \pseudo_random_number_generator. It combines two multiplicative
+ * \linear_congruential number generators, i.e. those with @c c = 0.
+ * It is described in
+ *
+ *  @blockquote
+ *  "Efficient and Portable Combined Random Number Generators", Pierre L'Ecuyer,
+ *  Communications of the ACM, Vol. 31, No. 6, June 1988, pp. 742-749, 774
+ *  @endblockquote
+ *
+ * The template parameters MLCG1 and MLCG2 shall denote two different
+ * \linear_congruential number generators, each with c = 0. Each invocation
+ * returns a random number X(n) := (MLCG1(n) - MLCG2(n)) mod (m1 - 1), where
+ * m1 denotes the modulus of MLCG1. 
+ *
+ * The template parameter @c val is the validation value checked by validation.
+ */
+template<class MLCG1, class MLCG2,
+#ifndef BOOST_NO_DEPENDENT_TYPES_IN_TEMPLATE_VALUE_PARAMETERS
+  typename MLCG1::result_type 
+#else
+  int32_t
+#endif
+  val>
+class additive_combine
+{
+public:
+  typedef MLCG1 first_base;
+  typedef MLCG2 second_base;
+  typedef typename MLCG1::result_type result_type;
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+  static const bool has_fixed_range = true;
+  static const result_type min_value = 1;
+  static const result_type max_value = MLCG1::max_value-1;
+#else
+  enum { has_fixed_range = false };
+#endif
+  /**
+   * Returns: The smallest value that the generator can produce
+   */
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return 1; }
+  /**
+   * Returns: The largest value that the generator can produce
+   */
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (_mlcg1.max)()-1; }
+
+  /**
+   * Constructs an \additive_combine generator using the
+   * default constructors of the two base generators.
+   */
+  additive_combine() : _mlcg1(), _mlcg2() { }
+  /**
+   * Constructs an \additive_combine generator, using aseed as
+   * the constructor argument for both base generators.
+   */
+  explicit additive_combine(result_type aseed)
+    : _mlcg1(aseed), _mlcg2(aseed) { }
+  /**
+   * Constructs an \additive_combine generator, using
+   * @c seed1 and @c seed2 as the constructor argument to
+   * the first and second base generators, respectively.
+   */
+  additive_combine(typename MLCG1::result_type seed1, 
+                   typename MLCG2::result_type seed2)
+    : _mlcg1(seed1), _mlcg2(seed2) { }
+  /**
+   * Contructs an \additive_combine generator with
+   * values from the range defined by the input iterators first
+   * and last.  first will be modified to point to the element
+   * after the last one used.
+   *
+   * Throws: @c std::invalid_argument if the input range is too small.
+   *
+   * Exception Safety: Basic
+   */
+  template<class It> additive_combine(It& first, It last)
+    : _mlcg1(first, last), _mlcg2(first, last) { }
+
+  /**
+   * Seeds an \additive_combine generator using the default
+   * seeds of the two base generators.
+   */
+  void seed()
+  {
+    _mlcg1.seed();
+    _mlcg2.seed();
+  }
+
+  /**
+   * Seeds an \additive_combine generator, using @c aseed as the
+   * seed for both base generators.
+   */
+  void seed(result_type aseed)
+  {
+    _mlcg1.seed(aseed);
+    _mlcg2.seed(aseed);
+  }
+
+  /**
+   * Seeds an \additive_combine generator, using @c seed1 and @c seed2 as
+   * the seeds to the first and second base generators, respectively.
+   */
+  void seed(typename MLCG1::result_type seed1,
+            typename MLCG2::result_type seed2)
+  {
+    _mlcg1.seed(seed1);
+    _mlcg2.seed(seed2);
+  }
+
+  /**
+   * Seeds an \additive_combine generator with
+   * values from the range defined by the input iterators first
+   * and last.  first will be modified to point to the element
+   * after the last one used.
+   *
+   * Throws: @c std::invalid_argument if the input range is too small.
+   *
+   * Exception Safety: Basic
+   */
+  template<class It> void seed(It& first, It last)
+  {
+    _mlcg1.seed(first, last);
+    _mlcg2.seed(first, last);
+  }
+
+  /**
+   * Returns: the next value of the generator
+   */
+  result_type operator()() {
+    result_type z = _mlcg1() - _mlcg2();
+    if(z < 1)
+      z += MLCG1::modulus-1;
+    return z;
+  }
+
+  static bool validation(result_type x) { return val == x; }
+
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  /**
+   * Writes the state of an \additive_combine generator to a @c
+   * std::ostream.  The textual representation of an \additive_combine
+   * generator is the textual representation of the first base
+   * generator followed by the textual representation of the
+   * second base generator.
+   */
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const additive_combine& r)
+  { os << r._mlcg1 << " " << r._mlcg2; return os; }
+
+  /**
+   * Reads the state of an \additive_combine generator from a
+   * @c std::istream.
+   */
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, additive_combine& r)
+  { is >> r._mlcg1 >> std::ws >> r._mlcg2; return is; }
+#endif
+
+  /**
+   * Returns: true iff the two \additive_combine generators will
+   * produce the same sequence of values.
+   */
+  friend bool operator==(const additive_combine& x, const additive_combine& y)
+  { return x._mlcg1 == y._mlcg1 && x._mlcg2 == y._mlcg2; }
+  /**
+   * Returns: true iff the two \additive_combine generators will
+   * produce different sequences of values.
+   */
+  friend bool operator!=(const additive_combine& x, const additive_combine& y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const additive_combine& rhs) const
+  { return _mlcg1 == rhs._mlcg1 && _mlcg2 == rhs._mlcg2; }
+  bool operator!=(const additive_combine& rhs) const
+  { return !(*this == rhs); }
+#endif
+
+private:
+  MLCG1 _mlcg1;
+  MLCG2 _mlcg2;
+};
+
+} // namespace random
+
+/**
+ * The specialization \ecuyer1988 was suggested in
+ *
+ *  @blockquote
+ *  "Efficient and Portable Combined Random Number Generators", Pierre L'Ecuyer,
+ *  Communications of the ACM, Vol. 31, No. 6, June 1988, pp. 742-749, 774
+ *  @endblockquote
+ */
+typedef random::additive_combine<
+    random::linear_congruential<int32_t, 40014, 0, 2147483563, 0>,
+    random::linear_congruential<int32_t, 40692, 0, 2147483399, 0>,
+  2060321752> ecuyer1988;
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_ADDITIVE_COMBINE_HPP

Boost/boost/random/bernoulli_distribution.hpp

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+/* boost random/bernoulli_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: bernoulli_distribution.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_BERNOULLI_DISTRIBUTION_HPP
+#define BOOST_RANDOM_BERNOULLI_DISTRIBUTION_HPP
+
+#include <cassert>
+#include <iostream>
+#include <boost/random/detail/config.hpp>
+
+namespace boost {
+
+/**
+ * Instantiations of class template \bernoulli_distribution model a
+ * \random_distribution. Such a random distribution produces bool values
+ * distributed with probabilities P(true) = p and P(false) = 1-p. p is
+ * the parameter of the distribution.
+ */
+template<class RealType = double>
+class bernoulli_distribution
+{
+public:
+  // In principle, this could work with both integer and floating-point
+  // types.  Generating floating-point random numbers in the first
+  // place is probably more expensive, so use integer as input.
+  typedef int input_type;
+  typedef bool result_type;
+
+  /** 
+   * Constructs a \bernoulli_distribution object.
+   * p is the parameter of the distribution.
+   *
+   * Requires: 0 <= p <= 1
+   */
+  explicit bernoulli_distribution(const RealType& p_arg = RealType(0.5)) 
+    : _p(p_arg)
+  {
+    assert(_p >= 0);
+    assert(_p <= 1);
+  }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  /**
+   * Returns: The "p" parameter of the distribution.
+   */
+  RealType p() const { return _p; }
+  /**
+   * Effects: Subsequent uses of the distribution do not depend
+   * on values produced by any engine prior to invoking reset.
+   */
+  void reset() { }
+
+  /**
+   * Returns: a random variate distributed according to the
+   * \bernoulli_distribution.
+   */
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+    if(_p == RealType(0))
+      return false;
+    else
+      return RealType(eng() - (eng.min)()) <= _p * RealType((eng.max)()-(eng.min)());
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  /**
+   * Writes the parameters of the distribution to a @c std::ostream.
+   */
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const bernoulli_distribution& bd)
+  {
+    os << bd._p;
+    return os;
+  }
+
+  /**
+   * Reads the parameters of the distribution from a @c std::istream.
+   */
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, bernoulli_distribution& bd)
+  {
+    is >> std::ws >> bd._p;
+    return is;
+  }
+#endif
+
+private:
+  RealType _p;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_BERNOULLI_DISTRIBUTION_HPP

Boost/boost/random/binomial_distribution.hpp

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+/* boost random/binomial_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2002
+ * 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: binomial_distribution.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ */
+
+#ifndef BOOST_RANDOM_BINOMIAL_DISTRIBUTION_HPP
+#define BOOST_RANDOM_BINOMIAL_DISTRIBUTION_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>
+#include <cassert>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/bernoulli_distribution.hpp>
+
+namespace boost {
+
+/**
+ * The binomial distribution is an integer valued distribution with
+ * two parameters, @c t and @c p.  The values of the distribution
+ * are within the range [0,t].
+ *
+ * The probability that the distribution produces a value k is
+ * \f${t \choose k}p^k(1-p)^{t-k}\f$.
+ */
+template<class IntType = int, class RealType = double>
+class binomial_distribution
+{
+public:
+  typedef typename bernoulli_distribution<RealType>::input_type input_type;
+  typedef IntType result_type;
+
+  /**
+   * Construct an @c binomial_distribution object. @c t and @c p
+   * are the parameters of the distribution.
+   *
+   * Requires: t >=0 && 0 <= p <= 1
+   */
+  explicit binomial_distribution(IntType t = 1,
+                                 const RealType& p = RealType(0.5))
+    : _bernoulli(p), _t(t)
+  {
+    assert(_t >= 0);
+    assert(RealType(0) <= p && p <= RealType(1));
+  }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  /** Returns: the @c t parameter of the distribution */
+  IntType t() const { return _t; }
+  /** Returns: the @c p parameter of the distribution */
+  RealType p() const { return _bernoulli.p(); }
+  /**
+   * Effects: Subsequent uses of the distribution do not depend
+   * on values produced by any engine prior to invoking reset.
+   */
+  void reset() { }
+
+  /**
+   * Returns: a random variate distributed according to the
+   * binomial distribution.
+   */
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+    // TODO: This is O(_t), but it should be O(log(_t)) for large _t
+    result_type n = 0;
+    for(IntType i = 0; i < _t; ++i)
+      if(_bernoulli(eng))
+        ++n;
+    return n;
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  /**
+   * Writes the parameters of the distribution to a @c std::ostream.
+   */
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const binomial_distribution& bd)
+  {
+    os << bd._bernoulli << " " << bd._t;
+    return os;
+  }
+
+  /**
+   * Reads the parameters of the distribution from a @c std::istream.
+   */
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, binomial_distribution& bd)
+  {
+    is >> std::ws >> bd._bernoulli >> std::ws >> bd._t;
+    return is;
+  }
+#endif
+
+private:
+  bernoulli_distribution<RealType> _bernoulli;
+  IntType _t;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_BINOMIAL_DISTRIBUTION_HPP

Boost/boost/random/cauchy_distribution.hpp

@@ -0,0 +1,121 @@
+/* boost random/cauchy_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: cauchy_distribution.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_CAUCHY_DISTRIBUTION_HPP
+#define BOOST_RANDOM_CAUCHY_DISTRIBUTION_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>
+#include <iostream>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+
+namespace boost {
+
+#if defined(__GNUC__) && (__GNUC__ < 3)
+// Special gcc workaround: gcc 2.95.x ignores using-declarations
+// in template classes (confirmed by gcc author Martin v. Loewis)
+  using std::tan;
+#endif
+
+// Cauchy distribution: 
+
+/**
+ * The cauchy distribution is a continuous distribution with two
+ * parameters, sigma and median.
+ *
+ * It has \f$p(x) = \frac{\sigma}{\pi(\sigma^2 + (x-m)^2)}\f$
+ */
+template<class RealType = double>
+class cauchy_distribution
+{
+public:
+  typedef RealType input_type;
+  typedef RealType result_type;
+
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+  BOOST_STATIC_ASSERT(!std::numeric_limits<RealType>::is_integer);
+#endif
+
+  /**
+   * Constructs a \cauchy_distribution with the paramters @c median
+   * and @c sigma.
+   */
+  explicit cauchy_distribution(result_type median_arg = result_type(0), 
+                               result_type sigma_arg = result_type(1))
+    : _median(median_arg), _sigma(sigma_arg) { }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  /**
+   * Returns: the "median" parameter of the distribution
+   */
+  result_type median() const { return _median; }
+  /**
+   * Returns: the "sigma" parameter of the distribution
+   */
+  result_type sigma() const { return _sigma; }
+  /**
+   * Effects: Subsequent uses of the distribution do not depend
+   * on values produced by any engine prior to invoking reset.
+   */
+  void reset() { }
+
+  /**
+   * Returns: A random variate distributed according to the
+   * cauchy distribution.
+   */
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+    // Can we have a boost::mathconst please?
+    const result_type pi = result_type(3.14159265358979323846);
+#ifndef BOOST_NO_STDC_NAMESPACE
+    using std::tan;
+#endif
+    return _median + _sigma * tan(pi*(eng()-result_type(0.5)));
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  /**
+   * Writes the parameters of the distribution to a @c std::ostream.
+   */
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const cauchy_distribution& cd)
+  {
+    os << cd._median << " " << cd._sigma;
+    return os;
+  }
+
+  /**
+   * Reads the parameters of the distribution from a @c std::istream.
+   */
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, cauchy_distribution& cd)
+  {
+    is >> std::ws >> cd._median >> std::ws >> cd._sigma;
+    return is;
+  }
+#endif
+
+private:
+  result_type _median, _sigma;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_CAUCHY_DISTRIBUTION_HPP

Boost/boost/random/detail/auto_link.hpp

@@ -0,0 +1,42 @@
+/* boost random auto_link.hpp header file
+ *
+ * Copyright Steven Watanabe 2010
+ * 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)
+ *
+ * $Id: auto_link.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ */
+
+#ifndef BOOST_RANDOM_DETAIL_AUTO_LINK_HPP
+#define BOOST_RANDOM_DETAIL_AUTO_LINK_HPP
+
+#include <boost/config.hpp>
+
+#ifdef BOOST_HAS_DECLSPEC
+    #if defined(BOOST_ALL_DYN_LINK) || defined(BOOST_RANDOM_DYN_LINK)
+        #if defined(BOOST_RANDOM_SOURCE)
+            #define BOOST_RANDOM_DECL __declspec(dllexport)
+        #else
+            #define BOOST_RANDOM_DECL __declspec(dllimport)
+        #endif
+    #endif
+#endif
+
+#ifndef BOOST_RANDOM_DECL
+    #define BOOST_RANDOM_DECL
+#endif
+
+#if !defined(BOOST_RANDOM_NO_LIB) && !defined(BOOST_ALL_NO_LIB) && !defined(BOOST_RANDOM_SOURCE)
+
+#define BOOST_LIB_NAME boost_random
+
+#if defined(BOOST_RANDOM_DYN_LINK) || defined(BOOST_ALL_DYN_LINK)
+    #define BOOST_DYN_LINK
+#endif
+
+#include <boost/config/auto_link.hpp>
+
+#endif
+
+#endif

Boost/boost/random/detail/config.hpp

@@ -0,0 +1,18 @@
+/* boost random/detail/config.hpp header file
+ *
+ * Copyright Steven Watanabe 2009
+ * 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: config.hpp 52492 2009-04-19 14:55:57Z steven_watanabe $
+ */
+
+#include <boost/config.hpp>
+
+#if (defined(BOOST_NO_OPERATORS_IN_NAMESPACE) || defined(BOOST_NO_MEMBER_TEMPLATE_FRIENDS)) \
+    && !defined(BOOST_MSVC)
+    #define BOOST_RANDOM_NO_STREAM_OPERATORS
+#endif

Boost/boost/random/detail/const_mod.hpp

@@ -0,0 +1,363 @@
+/* boost random/detail/const_mod.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: const_mod.hpp 58649 2010-01-02 21:23:17Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_CONST_MOD_HPP
+#define BOOST_RANDOM_CONST_MOD_HPP
+
+#include <cassert>
+#include <boost/static_assert.hpp>
+#include <boost/cstdint.hpp>
+#include <boost/integer_traits.hpp>
+#include <boost/detail/workaround.hpp>
+
+#include <boost/random/detail/disable_warnings.hpp>
+
+namespace boost {
+namespace random {
+
+/*
+ * Some random number generators require modular arithmetic.  Put
+ * everything we need here.
+ * IntType must be an integral type.
+ */
+
+namespace detail {
+
+  template<bool is_signed>
+  struct do_add
+  { };
+
+  template<>
+  struct do_add<true>
+  {
+    template<class IntType>
+    static IntType add(IntType m, IntType x, IntType c)
+    {
+      if (x < m - c)
+        return x + c;
+      else
+        return x - (m-c);
+    }
+  };
+
+  template<>
+  struct do_add<false>
+  {
+    template<class IntType>
+    static IntType add(IntType, IntType, IntType)
+    {
+      // difficult
+      assert(!"const_mod::add with c too large");
+      return 0;
+    }
+  };
+} // namespace detail
+
+#if !(defined(__BORLANDC__) && (__BORLANDC__ == 0x560))
+
+template<class IntType, IntType m>
+class const_mod
+{
+public:
+  static IntType add(IntType x, IntType c)
+  {
+    if(c == 0)
+      return x;
+    else if(c <= traits::const_max - m)    // i.e. m+c < max
+      return add_small(x, c);
+    else
+      return detail::do_add<traits::is_signed>::add(m, x, c);
+  }
+
+  static IntType mult(IntType a, IntType x)
+  {
+    if(a == 1)
+      return x;
+    else if(m <= traits::const_max/a)      // i.e. a*m <= max
+      return mult_small(a, x);
+    else if(traits::is_signed && (m%a < m/a))
+      return mult_schrage(a, x);
+    else {
+      // difficult
+      assert(!"const_mod::mult with a too large");
+      return 0;
+    }
+  }
+
+  static IntType mult_add(IntType a, IntType x, IntType c)
+  {
+    if(m <= (traits::const_max-c)/a)   // i.e. a*m+c <= max
+      return (a*x+c) % m;
+    else
+      return add(mult(a, x), c);
+  }
+
+  static IntType invert(IntType x)
+  { return x == 0 ? 0 : invert_euclidian(x); }
+
+private:
+  typedef integer_traits<IntType> traits;
+
+  const_mod();      // don't instantiate
+
+  static IntType add_small(IntType x, IntType c)
+  {
+    x += c;
+    if(x >= m)
+      x -= m;
+    return x;
+  }
+
+  static IntType mult_small(IntType a, IntType x)
+  {
+    return a*x % m;
+  }
+
+  static IntType mult_schrage(IntType a, IntType value)
+  {
+    const IntType q = m / a;
+    const IntType r = m % a;
+
+    assert(r < q);        // check that overflow cannot happen
+
+    value = a*(value%q) - r*(value/q);
+    // An optimizer bug in the SGI MIPSpro 7.3.1.x compiler requires this
+    // convoluted formulation of the loop (Synge Todo)
+    for(;;) {
+      if (value > 0)
+        break;
+      value += m;
+    }
+    return value;
+  }
+
+  // invert c in the finite field (mod m) (m must be prime)
+  static IntType invert_euclidian(IntType c)
+  {
+    // we are interested in the gcd factor for c, because this is our inverse
+    BOOST_STATIC_ASSERT(m > 0);
+#if BOOST_WORKAROUND(__MWERKS__, BOOST_TESTED_AT(0x3003))
+    assert(boost::integer_traits<IntType>::is_signed);
+#elif !defined(BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS)
+    BOOST_STATIC_ASSERT(boost::integer_traits<IntType>::is_signed);
+#endif
+    assert(c > 0);
+    IntType l1 = 0;
+    IntType l2 = 1;
+    IntType n = c;
+    IntType p = m;
+    for(;;) {
+      IntType q = p / n;
+      l1 -= q * l2;           // this requires a signed IntType!
+      p -= q * n;
+      if(p == 0)
+        return (l2 < 1 ? l2 + m : l2);
+      IntType q2 = n / p;
+      l2 -= q2 * l1;
+      n -= q2 * p;
+      if(n == 0)
+        return (l1 < 1 ? l1 + m : l1);
+    }
+  }
+};
+
+// The modulus is exactly the word size: rely on machine overflow handling.
+// Due to a GCC bug, we cannot partially specialize in the presence of
+// template value parameters.
+template<>
+class const_mod<unsigned int, 0>
+{
+  typedef unsigned int IntType;
+public:
+  static IntType add(IntType x, IntType c) { return x+c; }
+  static IntType mult(IntType a, IntType x) { return a*x; }
+  static IntType mult_add(IntType a, IntType x, IntType c) { return a*x+c; }
+
+  // m is not prime, thus invert is not useful
+private:                      // don't instantiate
+  const_mod();
+};
+
+template<>
+class const_mod<unsigned long, 0>
+{
+  typedef unsigned long IntType;
+public:
+  static IntType add(IntType x, IntType c) { return x+c; }
+  static IntType mult(IntType a, IntType x) { return a*x; }
+  static IntType mult_add(IntType a, IntType x, IntType c) { return a*x+c; }
+
+  // m is not prime, thus invert is not useful
+private:                      // don't instantiate
+  const_mod();
+};
+
+// the modulus is some power of 2: rely partly on machine overflow handling
+// we only specialize for rand48 at the moment
+#ifndef BOOST_NO_INT64_T
+template<>
+class const_mod<uint64_t, uint64_t(1) << 48>
+{
+  typedef uint64_t IntType;
+public:
+  static IntType add(IntType x, IntType c) { return c == 0 ? x : mod(x+c); }
+  static IntType mult(IntType a, IntType x) { return mod(a*x); }
+  static IntType mult_add(IntType a, IntType x, IntType c)
+    { return mod(a*x+c); }
+  static IntType mod(IntType x) { return x &= ((uint64_t(1) << 48)-1); }
+
+  // m is not prime, thus invert is not useful
+private:                      // don't instantiate
+  const_mod();
+};
+#endif /* !BOOST_NO_INT64_T */
+
+#else
+
+//
+// for some reason Borland C++ Builder 6 has problems with
+// the full specialisations of const_mod, define a generic version
+// instead, the compiler will optimise away the const-if statements:
+//
+
+template<class IntType, IntType m>
+class const_mod
+{
+public:
+  static IntType add(IntType x, IntType c)
+  {
+    if(0 == m)
+    {
+       return x+c;
+    }
+    else
+    {
+       if(c == 0)
+         return x;
+       else if(c <= traits::const_max - m)    // i.e. m+c < max
+         return add_small(x, c);
+       else
+         return detail::do_add<traits::is_signed>::add(m, x, c);
+    }
+  }
+
+  static IntType mult(IntType a, IntType x)
+  {
+    if(x == 0)
+    {
+       return a*x;
+    }
+    else
+    {
+       if(a == 1)
+         return x;
+       else if(m <= traits::const_max/a)      // i.e. a*m <= max
+         return mult_small(a, x);
+       else if(traits::is_signed && (m%a < m/a))
+         return mult_schrage(a, x);
+       else {
+         // difficult
+         assert(!"const_mod::mult with a too large");
+         return 0;
+       }
+    }
+  }
+
+  static IntType mult_add(IntType a, IntType x, IntType c)
+  {
+    if(m == 0)
+    {
+       return a*x+c;
+    }
+    else
+    {
+       if(m <= (traits::const_max-c)/a)   // i.e. a*m+c <= max
+         return (a*x+c) % m;
+       else
+         return add(mult(a, x), c);
+    }
+  }
+
+  static IntType invert(IntType x)
+  { return x == 0 ? 0 : invert_euclidian(x); }
+
+private:
+  typedef integer_traits<IntType> traits;
+
+  const_mod();      // don't instantiate
+
+  static IntType add_small(IntType x, IntType c)
+  {
+    x += c;
+    if(x >= m)
+      x -= m;
+    return x;
+  }
+
+  static IntType mult_small(IntType a, IntType x)
+  {
+    return a*x % m;
+  }
+
+  static IntType mult_schrage(IntType a, IntType value)
+  {
+    const IntType q = m / a;
+    const IntType r = m % a;
+
+    assert(r < q);        // check that overflow cannot happen
+
+    value = a*(value%q) - r*(value/q);
+    while(value <= 0)
+      value += m;
+    return value;
+  }
+
+  // invert c in the finite field (mod m) (m must be prime)
+  static IntType invert_euclidian(IntType c)
+  {
+    // we are interested in the gcd factor for c, because this is our inverse
+    BOOST_STATIC_ASSERT(m > 0);
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    BOOST_STATIC_ASSERT(boost::integer_traits<IntType>::is_signed);
+#endif
+    assert(c > 0);
+    IntType l1 = 0;
+    IntType l2 = 1;
+    IntType n = c;
+    IntType p = m;
+    for(;;) {
+      IntType q = p / n;
+      l1 -= q * l2;           // this requires a signed IntType!
+      p -= q * n;
+      if(p == 0)
+        return (l2 < 1 ? l2 + m : l2);
+      IntType q2 = n / p;
+      l2 -= q2 * l1;
+      n -= q2 * p;
+      if(n == 0)
+        return (l1 < 1 ? l1 + m : l1);
+    }
+  }
+};
+
+
+#endif
+
+} // namespace random
+} // namespace boost
+
+#include <boost/random/detail/enable_warnings.hpp>
+
+#endif // BOOST_RANDOM_CONST_MOD_HPP

Boost/boost/random/detail/disable_warnings.hpp

@@ -0,0 +1,23 @@
+/* boost random/detail/disable_warnings.hpp header file
+ *
+ * Copyright Steven Watanabe 2009
+ * 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: disable_warnings.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ */
+
+// No #include guard.  This header is intended to be included multiple times.
+
+#include <boost/config.hpp>
+
+#ifdef BOOST_MSVC
+#pragma warning(push)
+#pragma warning(disable:4512)
+#pragma warning(disable:4127)
+#pragma warning(disable:4724)
+#endif

Boost/boost/random/detail/enable_warnings.hpp

@@ -0,0 +1,18 @@
+/* boost random/detail/enable_warnings.hpp header file
+ *
+ * Copyright Steven Watanabe 2009
+ * 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: enable_warnings.hpp 58649 2010-01-02 21:23:17Z steven_watanabe $
+ *
+ */
+
+// No #include guard.  This header is intended to be included multiple times.
+
+#ifdef BOOST_MSVC
+#pragma warning(pop)
+#endif

Boost/boost/random/detail/iterator_mixin.hpp

@@ -0,0 +1,45 @@
+/* boost random/detail/iterator_mixin.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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.
+ *
+ * Revision history
+ */
+
+#ifndef BOOST_ITERATOR_MIXIN_HPP
+#define BOOST_ITERATOR_MIXIN_HPP
+
+#include <boost/operators.hpp>
+
+namespace boost {
+
+// must be in boost namespace, otherwise the inline friend trick fails
+template<class Generator, class ResultType>
+class generator_iterator_mixin_adapter
+  : incrementable<Generator>, equality_comparable<Generator>
+{
+public:
+  typedef std::input_iterator_tag iterator_category;
+  typedef ResultType value_type;
+  typedef std::ptrdiff_t difference_type;
+  typedef const value_type * pointer;
+  typedef const value_type & reference;
+  Generator& operator++() { v = cast()(); return cast(); }
+  const value_type& operator*() const { return v; }
+
+protected:
+  // instantiate from derived classes only
+  generator_iterator_mixin_adapter() { }
+  void iterator_init() { operator++(); }
+private:
+  Generator & cast() { return static_cast<Generator&>(*this); }
+  value_type v;
+};
+
+} // namespace boost
+
+#endif // BOOST_ITERATOR_MIXIN_HPP

Boost/boost/random/detail/pass_through_engine.hpp

@@ -0,0 +1,100 @@
+/* boost random/detail/uniform_int_float.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: pass_through_engine.hpp 58649 2010-01-02 21:23:17Z steven_watanabe $
+ *
+ */
+
+#ifndef BOOST_RANDOM_DETAIL_PASS_THROUGH_ENGINE_HPP
+#define BOOST_RANDOM_DETAIL_PASS_THROUGH_ENGINE_HPP
+
+#include <boost/config.hpp>
+#include <boost/random/detail/ptr_helper.hpp>
+#include <boost/random/detail/disable_warnings.hpp>
+
+namespace boost {
+namespace random {
+namespace detail {
+
+template<class UniformRandomNumberGenerator>
+class pass_through_engine
+{
+private:
+  typedef ptr_helper<UniformRandomNumberGenerator> helper_type;
+
+public:
+  typedef typename helper_type::value_type base_type;
+  typedef typename base_type::result_type result_type;
+
+  explicit pass_through_engine(UniformRandomNumberGenerator rng)
+    // make argument an rvalue to avoid matching Generator& constructor
+    : _rng(static_cast<typename helper_type::rvalue_type>(rng))
+  { }
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (base().min)(); }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (base().max)(); }
+  base_type& base() { return helper_type::ref(_rng); }
+  const base_type& base() const { return helper_type::ref(_rng); }
+
+  result_type operator()() { return base()(); }
+
+private:
+  UniformRandomNumberGenerator _rng;
+};
+
+#ifndef BOOST_NO_STD_LOCALE
+
+template<class UniformRandomNumberGenerator, class CharT, class Traits>
+std::basic_ostream<CharT,Traits>&
+operator<<(
+    std::basic_ostream<CharT,Traits>& os
+    , const pass_through_engine<UniformRandomNumberGenerator>& ud
+    )
+{
+    return os << ud.base();
+}
+
+template<class UniformRandomNumberGenerator, class CharT, class Traits>
+std::basic_istream<CharT,Traits>&
+operator>>(
+    std::basic_istream<CharT,Traits>& is
+    , const pass_through_engine<UniformRandomNumberGenerator>& ud
+    )
+{
+    return is >> ud.base();
+}
+
+#else // no new streams
+
+template<class UniformRandomNumberGenerator>
+inline std::ostream&
+operator<<(std::ostream& os, 
+           const pass_through_engine<UniformRandomNumberGenerator>& ud)
+{
+    return os << ud.base();
+}
+
+template<class UniformRandomNumberGenerator>
+inline std::istream&
+operator>>(std::istream& is, 
+           const pass_through_engine<UniformRandomNumberGenerator>& ud)
+{
+    return is >> ud.base();
+}
+
+#endif
+
+} // namespace detail
+} // namespace random
+} // namespace boost
+
+#include <boost/random/detail/enable_warnings.hpp>
+
+#endif // BOOST_RANDOM_DETAIL_PASS_THROUGH_ENGINE_HPP
+

Boost/boost/random/detail/ptr_helper.hpp

@@ -0,0 +1,94 @@
+/* boost random/detail/ptr_helper.hpp header file
+ *
+ * Copyright Jens Maurer 2002
+ * 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: ptr_helper.hpp 24096 2004-07-27 03:43:34Z dgregor $
+ *
+ */
+
+#ifndef BOOST_RANDOM_DETAIL_PTR_HELPER_HPP
+#define BOOST_RANDOM_DETAIL_PTR_HELPER_HPP
+
+#include <boost/config.hpp>
+
+
+namespace boost {
+namespace random {
+namespace detail {
+
+// type_traits could help here, but I don't want to depend on type_traits.
+template<class T>
+struct ptr_helper
+{
+  typedef T value_type;
+  typedef T& reference_type;
+  typedef const T& rvalue_type;
+  static reference_type ref(T& r) { return r; }
+  static const T& ref(const T& r) { return r; }
+};
+
+#ifndef BOOST_NO_TEMPLATE_PARTIAL_SPECIALIZATION
+template<class T>
+struct ptr_helper<T&>
+{
+  typedef T value_type;
+  typedef T& reference_type;
+  typedef T& rvalue_type;
+  static reference_type ref(T& r) { return r; }
+  static const T& ref(const T& r) { return r; }
+};
+
+template<class T>
+struct ptr_helper<T*>
+{
+  typedef T value_type;
+  typedef T& reference_type;
+  typedef T* rvalue_type;
+  static reference_type ref(T * p) { return *p; }
+  static const T& ref(const T * p) { return *p; }
+};
+#endif
+
+} // namespace detail
+} // namespace random
+} // namespace boost
+
+//
+// BOOST_RANDOM_PTR_HELPER_SPEC --
+//
+//  Helper macro for broken compilers defines specializations of
+//  ptr_helper.
+//
+#ifdef BOOST_NO_TEMPLATE_PARTIAL_SPECIALIZATION
+# define BOOST_RANDOM_PTR_HELPER_SPEC(T)                \
+namespace boost { namespace random { namespace detail { \
+template<>                                              \
+struct ptr_helper<T&>                                   \
+{                                                       \
+  typedef T value_type;                                 \
+  typedef T& reference_type;                            \
+  typedef T& rvalue_type;                               \
+  static reference_type ref(T& r) { return r; }         \
+  static const T& ref(const T& r) { return r; }         \
+};                                                      \
+                                                        \
+template<>                                              \
+struct ptr_helper<T*>                                   \
+{                                                       \
+  typedef T value_type;                                 \
+  typedef T& reference_type;                            \
+  typedef T* rvalue_type;                               \
+  static reference_type ref(T * p) { return *p; }       \
+  static const T& ref(const T * p) { return *p; }       \
+};                                                      \
+}}}
+#else
+# define BOOST_RANDOM_PTR_HELPER_SPEC(T)
+#endif 
+
+#endif // BOOST_RANDOM_DETAIL_PTR_HELPER_HPP

Boost/boost/random/detail/seed.hpp

@@ -0,0 +1,89 @@
+/* boost random/detail/seed.hpp header file
+ *
+ * Copyright Steven Watanabe 2009
+ * 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: seed.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ */
+
+#ifndef BOOST_RANDOM_DETAIL_SEED_HPP
+#define BOOST_RANDOM_DETAIL_SEED_HPP
+
+#include <boost/config.hpp>
+
+// Sun seems to have trouble with the use of SFINAE for the
+// templated constructor.  So does Borland.
+#if !defined(BOOST_NO_SFINAE) && !defined(__SUNPRO_CC) && !defined(__BORLANDC__)
+
+#include <boost/utility/enable_if.hpp>
+#include <boost/type_traits/is_arithmetic.hpp>
+
+namespace boost {
+namespace random {
+namespace detail {
+
+template<class T>
+struct disable_seed : boost::disable_if<boost::is_arithmetic<T> > {};
+
+template<class Engine, class T>
+struct disable_constructor : disable_seed<T> {};
+
+template<class Engine>
+struct disable_constructor<Engine, Engine> {};
+
+#define BOOST_RANDOM_DETAIL_GENERATOR_CONSTRUCTOR(Self, Generator, gen) \
+    template<class Generator>                                           \
+    explicit Self(Generator& gen, typename ::boost::random::detail::disable_constructor<Self, Generator>::type* = 0)
+
+#define BOOST_RANDOM_DETAIL_GENERATOR_SEED(Self, Generator, gen)    \
+    template<class Generator>                                       \
+    void seed(Generator& gen, typename ::boost::random::detail::disable_seed<Generator>::type* = 0)
+
+#define BOOST_RANDOM_DETAIL_ARITHMETIC_CONSTRUCTOR(Self, T, x)  \
+    explicit Self(const T& x)
+
+#define BOOST_RANDOM_DETAIL_ARITHMETIC_SEED(Self, T, x) \
+    void seed(const T& x)
+
+}
+}
+}
+
+#else
+
+#include <boost/type_traits/is_arithmetic.hpp>
+#include <boost/mpl/bool.hpp>
+
+#define BOOST_RANDOM_DETAIL_GENERATOR_CONSTRUCTOR(Self, Generator, gen) \
+    Self(Self& other) { *this = other; }                                \
+    Self(const Self& other) { *this = other; }                          \
+    template<class Generator>                                           \
+    explicit Self(Generator& gen) {                                     \
+        boost_random_constructor_impl(gen, ::boost::is_arithmetic<Generator>());\
+    }                                                                   \
+    template<class Generator>                                           \
+    void boost_random_constructor_impl(Generator& gen, ::boost::mpl::false_)
+
+#define BOOST_RANDOM_DETAIL_GENERATOR_SEED(Self, Generator, gen)    \
+    template<class Generator>                                       \
+    void seed(Generator& gen) {                                     \
+        boost_random_seed_impl(gen, ::boost::is_arithmetic<Generator>());\
+    }\
+    template<class Generator>\
+    void boost_random_seed_impl(Generator& gen, ::boost::mpl::false_)
+
+#define BOOST_RANDOM_DETAIL_ARITHMETIC_CONSTRUCTOR(Self, T, x)  \
+    explicit Self(const T& x) { boost_random_constructor_impl(x, ::boost::mpl::true_()); }\
+    void boost_random_constructor_impl(const T& x, ::boost::mpl::true_)
+
+#define BOOST_RANDOM_DETAIL_ARITHMETIC_SEED(Self, T, x) \
+    void seed(const T& x) { boost_random_seed_impl(x, ::boost::mpl::true_()); }\
+    void boost_random_seed_impl(const T& x, ::boost::mpl::true_)
+
+#endif
+
+#endif

Boost/boost/random/detail/signed_unsigned_tools.hpp

@@ -0,0 +1,89 @@
+/* boost random/detail/signed_unsigned_tools.hpp header file
+ *
+ * Copyright Jens Maurer 2006
+ * 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.
+ */
+
+#ifndef BOOST_RANDOM_DETAIL_SIGNED_UNSIGNED_TOOLS
+#define BOOST_RANDOM_DETAIL_SIGNED_UNSIGNED_TOOLS
+
+#include <boost/limits.hpp>
+#include <boost/config.hpp>
+#include <boost/type_traits/make_unsigned.hpp>
+
+namespace boost {
+namespace random {
+namespace detail {
+
+
+/*
+ * Compute x - y, we know that x >= y, return an unsigned value.
+ */
+
+template<class T, bool sgn = std::numeric_limits<T>::is_signed>
+struct subtract { };
+
+template<class T>
+struct subtract<T, /* signed */ false>
+{
+  typedef T result_type;
+  result_type operator()(T x, T y) { return x - y; }
+};
+
+template<class T>
+struct subtract<T, /* signed */ true>
+{
+  typedef typename make_unsigned<T>::type result_type;
+  result_type operator()(T x, T y)
+  {
+    if (y >= 0)   // because x >= y, it follows that x >= 0, too
+      return result_type(x) - result_type(y);
+    if (x >= 0)   // y < 0
+      // avoid the nasty two's complement case for y == min()
+      return result_type(x) + result_type(-(y+1)) + 1;
+    // both x and y are negative: no signed overflow
+    return result_type(x - y);
+  }
+};
+
+/*
+ * Compute x + y, x is unsigned, result fits in type of "y".
+ */
+
+template<class T1, class T2, bool sgn = std::numeric_limits<T2>::is_signed>
+struct add { };
+
+template<class T1, class T2>
+struct add<T1, T2, /* signed */ false>
+{
+  typedef T2 result_type;
+  result_type operator()(T1 x, T2 y) { return T2(x) + y; }
+};
+
+template<class T1, class T2>
+struct add<T1, T2, /* signed */ true>
+{
+  typedef T2 result_type;
+  result_type operator()(T1 x, T2 y)
+  {
+    if (y >= 0)
+      return T2(x) + y;
+    // y < 0
+    if (x >= T1(-(y+1)))  // result >= 0 after subtraction
+      // avoid the nasty two's complement edge case for y == min()
+      return T2(x - T1(-(y+1)) - 1);
+    // abs(x) < abs(y), thus T2 able to represent x
+    return T2(x) + y;
+  }
+};
+
+} // namespace detail
+} // namespace random
+} // namespace boost
+
+#endif // BOOST_RANDOM_DETAIL_SIGNED_UNSIGNED_TOOLS
+

Boost/boost/random/detail/uniform_int_float.hpp

@@ -0,0 +1,85 @@
+/* boost random/detail/uniform_int_float.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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_int_float.hpp 52492 2009-04-19 14:55:57Z steven_watanabe $
+ *
+ */
+
+#ifndef BOOST_RANDOM_DETAIL_UNIFORM_INT_FLOAT_HPP
+#define BOOST_RANDOM_DETAIL_UNIFORM_INT_FLOAT_HPP
+
+#include <boost/config.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/uniform_01.hpp>
+
+
+namespace boost {
+namespace random {
+namespace detail {
+
+template<class UniformRandomNumberGenerator, class IntType = unsigned long>
+class uniform_int_float
+{
+public:
+  typedef UniformRandomNumberGenerator base_type;
+  typedef IntType result_type;
+
+  uniform_int_float(base_type rng, IntType min_arg = 0, IntType max_arg = 0xffffffff)
+    : _rng(rng), _min(min_arg), _max(max_arg)
+  {
+    init();
+  }
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _min; }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _max; }
+  base_type& base() { return _rng.base(); }
+  const base_type& base() const { return _rng.base(); }
+
+  result_type operator()()
+  {
+    return static_cast<IntType>(_rng() * _range) + _min;
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const uniform_int_float& ud)
+  {
+    os << ud._min << " " << ud._max;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, uniform_int_float& ud)
+  {
+    is >> std::ws >> ud._min >> std::ws >> ud._max;
+    ud.init();
+    return is;
+  }
+#endif
+
+private:
+  void init()
+  {
+    _range = static_cast<base_result>(_max-_min)+1;
+  }
+
+  typedef typename base_type::result_type base_result;
+  uniform_01<base_type> _rng;
+  result_type _min, _max;
+  base_result _range;
+};
+
+
+} // namespace detail
+} // namespace random
+} // namespace boost
+
+#endif // BOOST_RANDOM_DETAIL_UNIFORM_INT_FLOAT_HPP

Boost/boost/random/discard_block.hpp

@@ -0,0 +1,132 @@
+/* boost random/discard_block.hpp header file
+ *
+ * Copyright Jens Maurer 2002
+ * 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: discard_block.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-03-02  created
+ */
+
+#ifndef BOOST_RANDOM_DISCARD_BLOCK_HPP
+#define BOOST_RANDOM_DISCARD_BLOCK_HPP
+
+#include <iostream>
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+
+
+namespace boost {
+namespace random {
+
+/**
+ * The class template \discard_block is a model of
+ * \pseudo_random_number_generator.  It modifies
+ * another generator by discarding parts of its output.
+ * Out of every block of @c r results, the first @c p
+ * will be returned and the rest discarded.
+ *
+ * Requires: 0 < p <= r
+ */
+template<class UniformRandomNumberGenerator, unsigned int p, unsigned int r>
+class discard_block
+{
+public:
+  typedef UniformRandomNumberGenerator base_type;
+  typedef typename base_type::result_type result_type;
+
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+  BOOST_STATIC_CONSTANT(unsigned int, total_block = p);
+  BOOST_STATIC_CONSTANT(unsigned int, returned_block = r);
+
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+  BOOST_STATIC_ASSERT(total_block >= returned_block);
+#endif
+
+  discard_block() : _rng(), _n(0) { }
+  explicit discard_block(const base_type & rng) : _rng(rng), _n(0) { }
+  template<class T> explicit discard_block(T s) : _rng(s), _n(0) {}
+  template<class It> discard_block(It& first, It last)
+    : _rng(first, last), _n(0) { }
+  void seed() { _rng.seed(); _n = 0; }
+  template<class T> void seed(T s) { _rng.seed(s); _n = 0; }
+  template<class It> void seed(It& first, It last)
+  { _n = 0; _rng.seed(first, last); }
+
+  const base_type& base() const { return _rng; }
+
+  result_type operator()()
+  {
+    if(_n >= returned_block) {
+      // discard values of random number generator
+      for( ; _n < total_block; ++_n)
+        _rng();
+      _n = 0;
+    }
+    ++_n;
+    return _rng();
+  }
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (_rng.min)(); }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (_rng.max)(); }
+  static bool validation(result_type x) { return true; }  // dummy
+
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const discard_block& s)
+  {
+    os << s._rng << " " << s._n << " ";
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, discard_block& s)
+  {
+    is >> s._rng >> std::ws >> s._n >> std::ws;
+    return is;
+  }
+#endif
+
+  friend bool operator==(const discard_block& x, const discard_block& y)
+  { return x._rng == y._rng && x._n == y._n; }
+  friend bool operator!=(const discard_block& x, const discard_block& y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const discard_block& rhs) const
+  { return _rng == rhs._rng && _n == rhs._n; }
+  bool operator!=(const discard_block& rhs) const
+  { return !(*this == rhs); }
+#endif
+
+private:
+  base_type _rng;
+  unsigned int _n;
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class UniformRandomNumberGenerator, unsigned int p, unsigned int r>
+const bool discard_block<UniformRandomNumberGenerator, p, r>::has_fixed_range;
+template<class UniformRandomNumberGenerator, unsigned int p, unsigned int r>
+const unsigned int discard_block<UniformRandomNumberGenerator, p, r>::total_block;
+template<class UniformRandomNumberGenerator, unsigned int p, unsigned int r>
+const unsigned int discard_block<UniformRandomNumberGenerator, p, r>::returned_block;
+#endif
+
+} // namespace random
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_DISCARD_BLOCK_HPP

Boost/boost/random/exponential_distribution.hpp

@@ -0,0 +1,86 @@
+/* boost random/exponential_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: exponential_distribution.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_EXPONENTIAL_DISTRIBUTION_HPP
+#define BOOST_RANDOM_EXPONENTIAL_DISTRIBUTION_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>
+#include <cassert>
+#include <iostream>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+
+namespace boost {
+
+/**
+ * The exponential distribution has a single parameter lambda.
+ *
+ * It has \f$p(x) = \lambda e^{-\lambda x}\f$
+ */
+template<class RealType = double>
+class exponential_distribution
+{
+public:
+  typedef RealType input_type;
+  typedef RealType result_type;
+
+#if !defined(BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS) && !(defined(BOOST_MSVC) && BOOST_MSVC <= 1300)
+  BOOST_STATIC_ASSERT(!std::numeric_limits<RealType>::is_integer);
+#endif
+
+  explicit exponential_distribution(result_type lambda_arg = result_type(1))
+    : _lambda(lambda_arg) { assert(_lambda > result_type(0)); }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  result_type lambda() const { return _lambda; }
+
+  void reset() { }
+
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  { 
+#ifndef BOOST_NO_STDC_NAMESPACE
+    using std::log;
+#endif
+    return -result_type(1) / _lambda * log(result_type(1)-eng());
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const exponential_distribution& ed)
+  {
+    os << ed._lambda;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, exponential_distribution& ed)
+  {
+    is >> std::ws >> ed._lambda;
+    return is;
+  }
+#endif
+
+private:
+  result_type _lambda;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_EXPONENTIAL_DISTRIBUTION_HPP

Boost/boost/random/gamma_distribution.hpp

@@ -0,0 +1,143 @@
+/* boost random/gamma_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2002
+ * 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: gamma_distribution.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ */
+
+#ifndef BOOST_RANDOM_GAMMA_DISTRIBUTION_HPP
+#define BOOST_RANDOM_GAMMA_DISTRIBUTION_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>
+#include <cassert>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/exponential_distribution.hpp>
+
+namespace boost {
+
+// The algorithm is taken from Knuth
+
+/**
+ * The gamma distribution is a continuous distribution with a single
+ * parameter alpha.
+ *
+ * It has \f$p(x) = x^{\alpha-1}\frac{e^{-x}}{\Gamma(\alpha)}\f$.
+ */
+template<class RealType = double>
+class gamma_distribution
+{
+public:
+  typedef RealType input_type;
+  typedef RealType result_type;
+
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+  BOOST_STATIC_ASSERT(!std::numeric_limits<RealType>::is_integer);
+#endif
+
+  explicit gamma_distribution(const result_type& alpha_arg = result_type(1))
+    : _exp(result_type(1)), _alpha(alpha_arg)
+  {
+    assert(_alpha > result_type(0));
+    init();
+  }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  RealType alpha() const { return _alpha; }
+
+  void reset() { _exp.reset(); }
+
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::tan; using std::sqrt; using std::exp; using std::log;
+    using std::pow;
+#endif
+    if(_alpha == result_type(1)) {
+      return _exp(eng);
+    } else if(_alpha > result_type(1)) {
+      // Can we have a boost::mathconst please?
+      const result_type pi = result_type(3.14159265358979323846);
+      for(;;) {
+        result_type y = tan(pi * eng());
+        result_type x = sqrt(result_type(2)*_alpha-result_type(1))*y
+          + _alpha-result_type(1);
+        if(x <= result_type(0))
+          continue;
+        if(eng() >
+           (result_type(1)+y*y) * exp((_alpha-result_type(1))
+                                        *log(x/(_alpha-result_type(1)))
+                                        - sqrt(result_type(2)*_alpha
+                                               -result_type(1))*y))
+          continue;
+        return x;
+      }
+    } else /* alpha < 1.0 */ {
+      for(;;) {
+        result_type u = eng();
+        result_type y = _exp(eng);
+        result_type x, q;
+        if(u < _p) {
+          x = exp(-y/_alpha);
+          q = _p*exp(-x);
+        } else {
+          x = result_type(1)+y;
+          q = _p + (result_type(1)-_p) * pow(x, _alpha-result_type(1));
+        }
+        if(u >= q)
+          continue;
+        return x;
+      }
+    }
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const gamma_distribution& gd)
+  {
+    os << gd._alpha;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, gamma_distribution& gd)
+  {
+    is >> std::ws >> gd._alpha;
+    gd.init();
+    return is;
+  }
+#endif
+
+private:
+  /// \cond hide_private_members
+  void init()
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::exp;
+#endif
+    _p = exp(result_type(1)) / (_alpha + exp(result_type(1)));
+  }
+  /// \endcond
+
+  exponential_distribution<RealType> _exp;
+  result_type _alpha;
+  // some data precomputed from the parameters
+  result_type _p;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_GAMMA_DISTRIBUTION_HPP

Boost/boost/random/geometric_distribution.hpp

@@ -0,0 +1,118 @@
+/* boost random/geometric_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: geometric_distribution.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_GEOMETRIC_DISTRIBUTION_HPP
+#define BOOST_RANDOM_GEOMETRIC_DISTRIBUTION_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>          // std::log
+#include <cassert>
+#include <iostream>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/uniform_01.hpp>
+
+namespace boost {
+
+#if defined(__GNUC__) && (__GNUC__ < 3)
+// Special gcc workaround: gcc 2.95.x ignores using-declarations
+// in template classes (confirmed by gcc author Martin v. Loewis)
+  using std::log;
+#endif
+
+/**
+ * An instantiation of the class template @c geometric_distribution models
+ * a \random_distribution.  The distribution produces positive
+ * integers which are the number of bernoulli trials
+ * with probability @c p required to get one that fails.
+ *
+ * For the geometric distribution, \f$p(i) = (1-p) p^{i-1}\f$.
+ */
+template<class IntType = int, class RealType = double>
+class geometric_distribution
+{
+public:
+  typedef RealType input_type;
+  typedef IntType result_type;
+
+  /**
+   * Contructs a new geometric_distribution with the paramter @c p.
+   *
+   * Requires: 0 < p < 1
+   */
+  explicit geometric_distribution(const RealType& p = RealType(0.5))
+    : _p(p)
+  {
+    assert(RealType(0) < _p && _p < RealType(1));
+    init();
+  }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  /**
+   * Returns: the distribution parameter @c p
+   */
+  RealType p() const { return _p; }
+  void reset() { }
+
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    using std::log;
+    using std::floor;
+#endif
+    return IntType(floor(log(RealType(1)-eng()) / _log_p)) + IntType(1);
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const geometric_distribution& gd)
+  {
+    os << gd._p;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, geometric_distribution& gd)
+  {
+    is >> std::ws >> gd._p;
+    gd.init();
+    return is;
+  }
+#endif
+
+private:
+
+  /// \cond hide_private_functions
+
+  void init()
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    using std::log;
+#endif
+    _log_p = log(_p);
+  }
+
+  /// \endcond
+
+  RealType _p;
+  RealType _log_p;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_GEOMETRIC_DISTRIBUTION_HPP
+

Boost/boost/random/inversive_congruential.hpp

@@ -0,0 +1,173 @@
+/* boost random/inversive_congruential.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: inversive_congruential.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_INVERSIVE_CONGRUENTIAL_HPP
+#define BOOST_RANDOM_INVERSIVE_CONGRUENTIAL_HPP
+
+#include <iostream>
+#include <cassert>
+#include <stdexcept>
+#include <boost/config.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/detail/const_mod.hpp>
+
+namespace boost {
+namespace random {
+
+// Eichenauer and Lehn 1986
+/**
+ * Instantiations of class template @c inversive_congruential model a
+ * \pseudo_random_number_generator. It uses the inversive congruential
+ * algorithm (ICG) described in
+ *
+ *  @blockquote
+ *  "Inversive pseudorandom number generators: concepts, results and links",
+ *  Peter Hellekalek, In: "Proceedings of the 1995 Winter Simulation
+ *  Conference", C. Alexopoulos, K. Kang, W.R. Lilegdon, and D. Goldsman
+ *  (editors), 1995, pp. 255-262. ftp://random.mat.sbg.ac.at/pub/data/wsc95.ps
+ *  @endblockquote
+ *
+ * The output sequence is defined by x(n+1) = (a*inv(x(n)) - b) (mod p),
+ * where x(0), a, b, and the prime number p are parameters of the generator.
+ * The expression inv(k) denotes the multiplicative inverse of k in the
+ * field of integer numbers modulo p, with inv(0) := 0.
+ *
+ * The template parameter IntType shall denote a signed integral type large
+ * enough to hold p; a, b, and p are the parameters of the generators. The
+ * template parameter val is the validation value checked by validation.
+ *
+ * @xmlnote
+ * The implementation currently uses the Euclidian Algorithm to compute
+ * the multiplicative inverse. Therefore, the inversive generators are about
+ * 10-20 times slower than the others (see section"performance"). However,
+ * the paper talks of only 3x slowdown, so the Euclidian Algorithm is probably
+ * not optimal for calculating the multiplicative inverse.
+ * @endxmlnote
+ */
+template<class IntType, IntType a, IntType b, IntType p, IntType val>
+class inversive_congruential
+{
+public:
+  typedef IntType result_type;
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+  static const bool has_fixed_range = true;
+  static const result_type min_value = (b == 0 ? 1 : 0);
+  static const result_type max_value = p-1;
+#else
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+#endif
+  BOOST_STATIC_CONSTANT(result_type, multiplier = a);
+  BOOST_STATIC_CONSTANT(result_type, increment = b);
+  BOOST_STATIC_CONSTANT(result_type, modulus = p);
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return b == 0 ? 1 : 0; }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return p-1; }
+
+  /**
+   * Constructs an inversive_congruential generator with
+   * @c y0 as the initial state.
+   */
+  explicit inversive_congruential(IntType y0 = 1) : value(y0)
+  {
+    BOOST_STATIC_ASSERT(b >= 0);
+    BOOST_STATIC_ASSERT(p > 1);
+    BOOST_STATIC_ASSERT(a >= 1);
+    if(b == 0) 
+      assert(y0 > 0); 
+  }
+  template<class It> inversive_congruential(It& first, It last)
+  { seed(first, last); }
+
+  /** Changes the current state to y0. */
+  void seed(IntType y0 = 1) { value = y0; if(b == 0) assert(y0 > 0); }
+  template<class It> void seed(It& first, It last)
+  {
+    if(first == last)
+      throw std::invalid_argument("inversive_congruential::seed");
+    value = *first++;
+  }
+  IntType operator()()
+  {
+    typedef const_mod<IntType, p> do_mod;
+    value = do_mod::mult_add(a, do_mod::invert(value), b);
+    return value;
+  }
+
+  static bool validation(result_type x) { return val == x; }
+
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, inversive_congruential x)
+  { os << x.value; return os; }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, inversive_congruential& x)
+  { is >> x.value; return is; }
+#endif
+
+  friend bool operator==(inversive_congruential x, inversive_congruential y)
+  { return x.value == y.value; }
+  friend bool operator!=(inversive_congruential x, inversive_congruential y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(inversive_congruential rhs) const
+  { return value == rhs.value; }
+  bool operator!=(inversive_congruential rhs) const
+  { return !(*this == rhs); }
+#endif
+private:
+  IntType value;
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class IntType, IntType a, IntType b, IntType p, IntType val>
+const bool inversive_congruential<IntType, a, b, p, val>::has_fixed_range;
+template<class IntType, IntType a, IntType b, IntType p, IntType val>
+const typename inversive_congruential<IntType, a, b, p, val>::result_type inversive_congruential<IntType, a, b, p, val>::min_value;
+template<class IntType, IntType a, IntType b, IntType p, IntType val>
+const typename inversive_congruential<IntType, a, b, p, val>::result_type inversive_congruential<IntType, a, b, p, val>::max_value;
+template<class IntType, IntType a, IntType b, IntType p, IntType val>
+const typename inversive_congruential<IntType, a, b, p, val>::result_type inversive_congruential<IntType, a, b, p, val>::multiplier;
+template<class IntType, IntType a, IntType b, IntType p, IntType val>
+const typename inversive_congruential<IntType, a, b, p, val>::result_type inversive_congruential<IntType, a, b, p, val>::increment;
+template<class IntType, IntType a, IntType b, IntType p, IntType val>
+const typename inversive_congruential<IntType, a, b, p, val>::result_type inversive_congruential<IntType, a, b, p, val>::modulus;
+#endif
+
+} // namespace random
+
+/**
+ * The specialization hellekalek1995 was suggested in
+ *
+ *  @blockquote
+ *  "Inversive pseudorandom number generators: concepts, results and links",
+ *  Peter Hellekalek, In: "Proceedings of the 1995 Winter Simulation
+ *  Conference", C. Alexopoulos, K. Kang, W.R. Lilegdon, and D. Goldsman
+ *  (editors), 1995, pp. 255-262. ftp://random.mat.sbg.ac.at/pub/data/wsc95.ps
+ *  @endblockquote
+ */
+typedef random::inversive_congruential<int32_t, 9102, 2147483647-36884165,
+  2147483647, 0> hellekalek1995;
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_INVERSIVE_CONGRUENTIAL_HPP

Boost/boost/random/lagged_fibonacci.hpp

@@ -0,0 +1,605 @@
+/* boost random/lagged_fibonacci.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: lagged_fibonacci.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_LAGGED_FIBONACCI_HPP
+#define BOOST_RANDOM_LAGGED_FIBONACCI_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>
+#include <iostream>
+#include <algorithm>     // std::max
+#include <iterator>
+#include <boost/config/no_tr1/cmath.hpp>         // std::pow
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/cstdint.hpp>
+#include <boost/detail/workaround.hpp>
+#include <boost/random/linear_congruential.hpp>
+#include <boost/random/uniform_01.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/detail/seed.hpp>
+#include <boost/random/detail/pass_through_engine.hpp>
+
+namespace boost {
+namespace random {
+
+#if BOOST_WORKAROUND(_MSC_FULL_VER, BOOST_TESTED_AT(13102292)) && BOOST_MSVC > 1300
+#  define BOOST_RANDOM_EXTRACT_LF
+#endif
+
+#if defined(__APPLE_CC__) && defined(__GNUC__) && (__GNUC__ == 3) && (__GNUC_MINOR__ <= 3)
+#  define BOOST_RANDOM_EXTRACT_LF
+#endif
+
+#  ifdef BOOST_RANDOM_EXTRACT_LF
+namespace detail
+{
+  template<class IStream, class F, class RealType>
+  IStream&
+  extract_lagged_fibonacci_01(
+      IStream& is
+      , F const& f
+      , unsigned int& i
+      , RealType* x
+      , RealType modulus)
+  {
+        is >> i >> std::ws;
+        for(unsigned int i = 0; i < f.long_lag; ++i)
+        {
+            RealType value;
+            is >> value >> std::ws;
+            x[i] = value / modulus;
+        }
+        return is;
+  }
+
+  template<class IStream, class F, class UIntType>
+  IStream&
+  extract_lagged_fibonacci(
+      IStream& is
+      , F const& f
+      , unsigned int& i
+      , UIntType* x)
+  {
+      is >> i >> std::ws;
+      for(unsigned int i = 0; i < f.long_lag; ++i)
+          is >> x[i] >> std::ws;
+      return is;
+  }
+}
+#  endif
+
+/** 
+ * Instantiations of class template \lagged_fibonacci model a
+ * \pseudo_random_number_generator. It uses a lagged Fibonacci
+ * algorithm with two lags @c p and @c q:
+ * x(i) = x(i-p) + x(i-q) (mod 2<sup>w</sup>) with p > q.
+ */
+template<class UIntType, int w, unsigned int p, unsigned int q,
+         UIntType val = 0>
+class lagged_fibonacci
+{
+public:
+  typedef UIntType result_type;
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+  BOOST_STATIC_CONSTANT(int, word_size = w);
+  BOOST_STATIC_CONSTANT(unsigned int, long_lag = p);
+  BOOST_STATIC_CONSTANT(unsigned int, short_lag = q);
+
+  /**
+   * Returns: the smallest value that the generator can produce
+   */
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return 0; }
+  /**
+   * Returns: the largest value that the generator can produce
+   */
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return wordmask; }
+
+  /**
+   * Creates a new @c lagged_fibonacci generator and calls @c seed()
+   */
+  lagged_fibonacci() { init_wordmask(); seed(); }
+  /**
+   * Creates a new @c lagged_fibonacci generator and calls @c seed(value)
+   */
+  explicit lagged_fibonacci(uint32_t value) { init_wordmask(); seed(value); }
+  /**
+   * Creates a new @c lagged_fibonacci generator and calls @c seed(first, last)
+   */
+  template<class It> lagged_fibonacci(It& first, It last)
+  { init_wordmask(); seed(first, last); }
+  // compiler-generated copy ctor and assignment operator are fine
+
+private:
+  /// \cond hide_private_members
+  void init_wordmask()
+  {
+    wordmask = 0;
+    for(int j = 0; j < w; ++j)
+      wordmask |= (1u << j);
+  }
+  /// \endcond
+
+public:
+  /**
+   * Sets the state of the generator to values produced by
+   * a \minstd_rand generator.
+   */
+  void seed(uint32_t value = 331u)
+  {
+    minstd_rand0 gen(value);
+    for(unsigned int j = 0; j < long_lag; ++j)
+      x[j] = gen() & wordmask;
+    i = long_lag;
+  }
+
+  /**
+   * Sets the state of the generator to values from the iterator
+   * range [first, last).  If there are not enough elements in the
+   * range [first, last) throws @c std::invalid_argument.
+   */
+  template<class It>
+  void seed(It& first, It last)
+  {
+    // word size could be smaller than the seed values
+    unsigned int j;
+    for(j = 0; j < long_lag && first != last; ++j, ++first)
+      x[j] = *first & wordmask;
+    i = long_lag;
+    if(first == last && j < long_lag)
+      throw std::invalid_argument("lagged_fibonacci::seed");
+  }
+
+  /**
+   * Returns: the next value of the generator
+   */
+  result_type operator()()
+  {
+    if(i >= long_lag)
+      fill();
+    return x[i++];
+  }
+
+  static bool validation(result_type x)
+  {
+    return x == val;
+  }
+  
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const lagged_fibonacci& f)
+  {
+    os << f.i << " ";
+    for(unsigned int i = 0; i < f.long_lag; ++i)
+      os << f.x[i] << " ";
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT, Traits>&
+  operator>>(std::basic_istream<CharT, Traits>& is, lagged_fibonacci& f)
+  {
+# ifdef BOOST_RANDOM_EXTRACT_LF
+      return detail::extract_lagged_fibonacci(is, f, f.i, f.x);
+# else
+      is >> f.i >> std::ws;
+      for(unsigned int i = 0; i < f.long_lag; ++i)
+          is >> f.x[i] >> std::ws;
+      return is;
+# endif 
+  }
+#endif
+
+  friend bool operator==(const lagged_fibonacci& x, const lagged_fibonacci& y)
+  { return x.i == y.i && std::equal(x.x, x.x+long_lag, y.x); }
+  friend bool operator!=(const lagged_fibonacci& x,
+                         const lagged_fibonacci& y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const lagged_fibonacci& rhs) const
+  { return i == rhs.i && std::equal(x, x+long_lag, rhs.x); }
+  bool operator!=(const lagged_fibonacci& rhs) const
+  { return !(*this == rhs); }
+#endif
+
+private:
+  /// \cond hide_private_members
+  void fill();
+  /// \endcond
+
+  UIntType wordmask;
+  unsigned int i;
+  UIntType x[long_lag];
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class UIntType, int w, unsigned int p, unsigned int q, UIntType val>
+const bool lagged_fibonacci<UIntType, w, p, q, val>::has_fixed_range;
+template<class UIntType, int w, unsigned int p, unsigned int q, UIntType val>
+const unsigned int lagged_fibonacci<UIntType, w, p, q, val>::long_lag;
+template<class UIntType, int w, unsigned int p, unsigned int q, UIntType val>
+const unsigned int lagged_fibonacci<UIntType, w, p, q, val>::short_lag;
+#endif
+
+/// \cond hide_private_members
+
+template<class UIntType, int w, unsigned int p, unsigned int q, UIntType val>
+void lagged_fibonacci<UIntType, w, p, q, val>::fill()
+{
+  // two loops to avoid costly modulo operations
+  {  // extra scope for MSVC brokenness w.r.t. for scope
+  for(unsigned int j = 0; j < short_lag; ++j)
+    x[j] = (x[j] + x[j+(long_lag-short_lag)]) & wordmask;
+  }
+  for(unsigned int j = short_lag; j < long_lag; ++j)
+    x[j] = (x[j] + x[j-short_lag]) & wordmask;
+  i = 0;
+}
+
+
+
+// lagged Fibonacci generator for the range [0..1)
+// contributed by Matthias Troyer
+// for p=55, q=24 originally by G. J. Mitchell and D. P. Moore 1958
+
+template<class T, unsigned int p, unsigned int q>
+struct fibonacci_validation
+{
+  BOOST_STATIC_CONSTANT(bool, is_specialized = false);
+  static T value() { return 0; }
+  static T tolerance() { return 0; }
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class T, unsigned int p, unsigned int q>
+const bool fibonacci_validation<T, p, q>::is_specialized;
+#endif
+
+#define BOOST_RANDOM_FIBONACCI_VAL(T,P,Q,V,E) \
+template<> \
+struct fibonacci_validation<T, P, Q>  \
+{                                     \
+  BOOST_STATIC_CONSTANT(bool, is_specialized = true);     \
+  static T value() { return V; }      \
+  static T tolerance()                \
+{ return (std::max)(E, static_cast<T>(5*std::numeric_limits<T>::epsilon())); } \
+};
+// (The extra static_cast<T> in the std::max call above is actually
+// unnecessary except for HP aCC 1.30, which claims that
+// numeric_limits<double>::epsilon() doesn't actually return a double.)
+
+BOOST_RANDOM_FIBONACCI_VAL(double, 607, 273, 0.4293817707235914, 1e-14)
+BOOST_RANDOM_FIBONACCI_VAL(double, 1279, 418, 0.9421630240437659, 1e-14)
+BOOST_RANDOM_FIBONACCI_VAL(double, 2281, 1252, 0.1768114046909004, 1e-14)
+BOOST_RANDOM_FIBONACCI_VAL(double, 3217, 576, 0.1956232694868209, 1e-14)
+BOOST_RANDOM_FIBONACCI_VAL(double, 4423, 2098, 0.9499762202147172, 1e-14)
+BOOST_RANDOM_FIBONACCI_VAL(double, 9689, 5502, 0.05737836943695162, 1e-14)
+BOOST_RANDOM_FIBONACCI_VAL(double, 19937, 9842, 0.5076528587449834, 1e-14)
+BOOST_RANDOM_FIBONACCI_VAL(double, 23209, 13470, 0.5414473810619185, 1e-14)
+BOOST_RANDOM_FIBONACCI_VAL(double, 44497,21034, 0.254135073399297, 1e-14)
+
+#undef BOOST_RANDOM_FIBONACCI_VAL
+
+/// \endcond
+
+/**
+ * Instantiations of class template @c lagged_fibonacci_01 model a
+ * \pseudo_random_number_generator. It uses a lagged Fibonacci
+ * algorithm with two lags @c p and @c q, evaluated in floating-point
+ * arithmetic: x(i) = x(i-p) + x(i-q) (mod 1) with p > q. See
+ *
+ *  @blockquote
+ *  "Uniform random number generators for supercomputers", Richard Brent,
+ *  Proc. of Fifth Australian Supercomputer Conference, Melbourne,
+ *  Dec. 1992, pp. 704-706.
+ *  @endblockquote
+ *
+ * @xmlnote
+ * The quality of the generator crucially depends on the choice
+ * of the parameters. User code should employ one of the sensibly
+ * parameterized generators such as \lagged_fibonacci607 instead.
+ * @endxmlnote
+ *
+ * The generator requires considerable amounts of memory for the storage
+ * of its state array. For example, \lagged_fibonacci607 requires about
+ * 4856 bytes and \lagged_fibonacci44497 requires about 350 KBytes.
+ */
+template<class RealType, int w, unsigned int p, unsigned int q>
+class lagged_fibonacci_01
+{
+public:
+  typedef RealType result_type;
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+  BOOST_STATIC_CONSTANT(int, word_size = w);
+  BOOST_STATIC_CONSTANT(unsigned int, long_lag = p);
+  BOOST_STATIC_CONSTANT(unsigned int, short_lag = q);
+
+  /** Constructs a @c lagged_fibonacci_01 generator and calls @c seed(). */
+  lagged_fibonacci_01() { init_modulus(); seed(); }
+  /** Constructs a @c lagged_fibonacci_01 generator and calls @c seed(value). */
+  BOOST_RANDOM_DETAIL_ARITHMETIC_CONSTRUCTOR(lagged_fibonacci_01, uint32_t, value)
+  { init_modulus(); seed(value); }
+  /** Constructs a @c lagged_fibonacci_01 generator and calls @c seed(gen). */
+  BOOST_RANDOM_DETAIL_GENERATOR_CONSTRUCTOR(lagged_fibonacci_01, Generator, gen)
+  { init_modulus(); seed(gen); }
+  template<class It> lagged_fibonacci_01(It& first, It last)
+  { init_modulus(); seed(first, last); }
+  // compiler-generated copy ctor and assignment operator are fine
+
+private:
+  /// \cond hide_private_members
+  void init_modulus()
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::pow;
+#endif
+    _modulus = pow(RealType(2), word_size);
+  }
+  /// \endcond
+
+public:
+  /** Calls seed(331u). */
+  void seed() { seed(331u); }
+  /**
+   * Constructs a \minstd_rand0 generator with the constructor parameter
+   * value and calls seed with it. Distinct seeds in the range
+   * [1, 2147483647) will produce generators with different states. Other
+   * seeds will be equivalent to some seed within this range. See
+   * \linear_congruential for details.
+   */
+  BOOST_RANDOM_DETAIL_ARITHMETIC_SEED(lagged_fibonacci_01, uint32_t, value)
+  {
+    minstd_rand0 intgen(value);
+    seed(intgen);
+  }
+
+  /**
+   * Sets the state of this @c lagged_fibonacci_01 to the values returned
+   * by p invocations of \uniform_01<code>\<RealType\>()(gen)</code>.
+   *
+   * Complexity: Exactly p invocations of gen.
+   */
+  BOOST_RANDOM_DETAIL_GENERATOR_SEED(lagged_fibonacci, Generator, gen)
+  {
+    // use pass-by-reference, but wrap argument in pass_through_engine
+    typedef detail::pass_through_engine<Generator&> ref_gen;
+    uniform_01<ref_gen, RealType> gen01 =
+      uniform_01<ref_gen, RealType>(ref_gen(gen));
+    // I could have used std::generate_n, but it takes "gen" by value
+    for(unsigned int j = 0; j < long_lag; ++j)
+      x[j] = gen01();
+    i = long_lag;
+  }
+
+  template<class It>
+  void seed(It& first, It last)
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::fmod;
+    using std::pow;
+#endif
+    unsigned long mask = ~((~0u) << (w%32));   // now lowest w bits set
+    RealType two32 = pow(RealType(2), 32);
+    unsigned int j;
+    for(j = 0; j < long_lag && first != last; ++j) {
+      x[j] = RealType(0);
+      for(int k = 0; k < w/32 && first != last; ++k, ++first)
+        x[j] += *first / pow(two32,k+1);
+      if(first != last && mask != 0) {
+        x[j] += fmod((*first & mask) / _modulus, RealType(1));
+        ++first;
+      }
+    }
+    i = long_lag;
+    if(first == last && j < long_lag)
+      throw std::invalid_argument("lagged_fibonacci_01::seed");
+  }
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return result_type(0); }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return result_type(1); }
+
+  result_type operator()()
+  {
+    if(i >= long_lag)
+      fill();
+    return x[i++];
+  }
+
+  static bool validation(result_type x)
+  {
+    result_type v = fibonacci_validation<result_type, p, q>::value();
+    result_type epsilon = fibonacci_validation<result_type, p, q>::tolerance();
+    // std::abs is a source of trouble: sometimes, it's not overloaded
+    // for double, plus the usual namespace std noncompliance -> avoid it
+    // using std::abs;
+    // return abs(x - v) < 5 * epsilon
+    return x > v - epsilon && x < v + epsilon;
+  }
+  
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const lagged_fibonacci_01&f)
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::pow;
+#endif
+    os << f.i << " ";
+    std::ios_base::fmtflags oldflags = os.flags(os.dec | os.fixed | os.left); 
+    for(unsigned int i = 0; i < f.long_lag; ++i)
+      os << f.x[i] * f._modulus << " ";
+    os.flags(oldflags);
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT, Traits>&
+  operator>>(std::basic_istream<CharT, Traits>& is, lagged_fibonacci_01& f)
+    {
+# ifdef BOOST_RANDOM_EXTRACT_LF
+        return detail::extract_lagged_fibonacci_01(is, f, f.i, f.x, f._modulus);
+# else
+        is >> f.i >> std::ws;
+        for(unsigned int i = 0; i < f.long_lag; ++i) {
+            typename lagged_fibonacci_01::result_type value;
+            is >> value >> std::ws;
+            f.x[i] = value / f._modulus;
+        }
+        return is;
+# endif 
+    }
+#endif
+
+  friend bool operator==(const lagged_fibonacci_01& x,
+                         const lagged_fibonacci_01& y)
+  { return x.i == y.i && std::equal(x.x, x.x+long_lag, y.x); }
+  friend bool operator!=(const lagged_fibonacci_01& x,
+                         const lagged_fibonacci_01& y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const lagged_fibonacci_01& rhs) const
+  { return i == rhs.i && std::equal(x, x+long_lag, rhs.x); }
+  bool operator!=(const lagged_fibonacci_01& rhs) const
+  { return !(*this == rhs); }
+#endif
+
+private:
+  /// \cond hide_private_members
+  void fill();
+  /// \endcond
+  unsigned int i;
+  RealType x[long_lag];
+  RealType _modulus;
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class RealType, int w, unsigned int p, unsigned int q>
+const bool lagged_fibonacci_01<RealType, w, p, q>::has_fixed_range;
+template<class RealType, int w, unsigned int p, unsigned int q>
+const unsigned int lagged_fibonacci_01<RealType, w, p, q>::long_lag;
+template<class RealType, int w, unsigned int p, unsigned int q>
+const unsigned int lagged_fibonacci_01<RealType, w, p, q>::short_lag;
+template<class RealType, int w, unsigned int p, unsigned int q>
+const int lagged_fibonacci_01<RealType,w,p,q>::word_size;
+
+#endif
+
+/// \cond hide_private_members
+template<class RealType, int w, unsigned int p, unsigned int q>
+void lagged_fibonacci_01<RealType, w, p, q>::fill()
+{
+  // two loops to avoid costly modulo operations
+  {  // extra scope for MSVC brokenness w.r.t. for scope
+  for(unsigned int j = 0; j < short_lag; ++j) {
+    RealType t = x[j] + x[j+(long_lag-short_lag)];
+    if(t >= RealType(1))
+      t -= RealType(1);
+    x[j] = t;
+  }
+  }
+  for(unsigned int j = short_lag; j < long_lag; ++j) {
+    RealType t = x[j] + x[j-short_lag];
+    if(t >= RealType(1))
+      t -= RealType(1);
+    x[j] = t;
+  }
+  i = 0;
+}
+/// \endcond
+
+} // namespace random
+
+#ifdef BOOST_RANDOM_DOXYGEN
+namespace detail {
+/**
+ * The specializations lagged_fibonacci607 ... lagged_fibonacci44497
+ * use well tested lags.
+ *
+ * See
+ *
+ *  @blockquote
+ *  "On the Periods of Generalized Fibonacci Recurrences", Richard P. Brent
+ *  Computer Sciences Laboratory Australian National University, December 1992
+ *  @endblockquote
+ *
+ * The lags used here can be found in
+ *
+ *  @blockquote
+ *  "Uniform random number generators for supercomputers", Richard Brent,
+ *  Proc. of Fifth Australian Supercomputer Conference, Melbourne,
+ *  Dec. 1992, pp. 704-706.
+ *  @endblockquote
+ */
+struct lagged_fibonacci_doc {};
+}
+#endif
+
+/**
+ * @copydoc boost::detail::lagged_fibonacci_doc
+ */
+typedef random::lagged_fibonacci_01<double, 48, 607, 273> lagged_fibonacci607;
+/**
+ * @copydoc boost::detail::lagged_fibonacci_doc
+ */
+typedef random::lagged_fibonacci_01<double, 48, 1279, 418> lagged_fibonacci1279;
+/**
+ * @copydoc boost::detail::lagged_fibonacci_doc
+ */
+typedef random::lagged_fibonacci_01<double, 48, 2281, 1252> lagged_fibonacci2281;
+/**
+ * @copydoc boost::detail::lagged_fibonacci_doc
+ */
+typedef random::lagged_fibonacci_01<double, 48, 3217, 576> lagged_fibonacci3217;
+/**
+ * @copydoc boost::detail::lagged_fibonacci_doc
+ */
+typedef random::lagged_fibonacci_01<double, 48, 4423, 2098> lagged_fibonacci4423;
+/**
+ * @copydoc boost::detail::lagged_fibonacci_doc
+ */
+typedef random::lagged_fibonacci_01<double, 48, 9689, 5502> lagged_fibonacci9689;
+/**
+ * @copydoc boost::detail::lagged_fibonacci_doc
+ */
+typedef random::lagged_fibonacci_01<double, 48, 19937, 9842> lagged_fibonacci19937;
+/**
+ * @copydoc boost::detail::lagged_fibonacci_doc
+ */
+typedef random::lagged_fibonacci_01<double, 48, 23209, 13470> lagged_fibonacci23209;
+/**
+ * @copydoc boost::detail::lagged_fibonacci_doc
+ */
+typedef random::lagged_fibonacci_01<double, 48, 44497, 21034> lagged_fibonacci44497;
+
+
+// It is possible to partially specialize uniform_01<> on lagged_fibonacci_01<>
+// to help the compiler generate efficient code.  For GCC, this seems useless,
+// because GCC optimizes (x-0)/(1-0) to (x-0).  This is good enough for now.
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_LAGGED_FIBONACCI_HPP

Boost/boost/random/linear_congruential.hpp

@@ -0,0 +1,403 @@
+/* boost random/linear_congruential.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: linear_congruential.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_LINEAR_CONGRUENTIAL_HPP
+#define BOOST_RANDOM_LINEAR_CONGRUENTIAL_HPP
+
+#include <iostream>
+#include <cassert>
+#include <stdexcept>
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/detail/const_mod.hpp>
+#include <boost/detail/workaround.hpp>
+
+#include <boost/random/detail/disable_warnings.hpp>
+
+namespace boost {
+namespace random {
+
+/**
+ * Instantiations of class template linear_congruential model a
+ * \pseudo_random_number_generator. Linear congruential pseudo-random
+ * number generators are described in:
+ *
+ *  "Mathematical methods in large-scale computing units", D. H. Lehmer,
+ *  Proc. 2nd Symposium on Large-Scale Digital Calculating Machines,
+ *  Harvard University Press, 1951, pp. 141-146
+ *
+ * Let x(n) denote the sequence of numbers returned by some pseudo-random
+ * number generator. Then for the linear congruential generator,
+ * x(n+1) := (a * x(n) + c) mod m. Parameters for the generator are
+ * x(0), a, c, m. The template parameter IntType shall denote an integral
+ * type. It must be large enough to hold values a, c, and m. The template
+ * parameters a and c must be smaller than m.
+ *
+ * Note: The quality of the generator crucially depends on the choice of
+ * the parameters. User code should use one of the sensibly parameterized
+ * generators such as minstd_rand instead.
+ */
+template<class IntType, IntType a, IntType c, IntType m, IntType val>
+class linear_congruential
+{
+public:
+  typedef IntType result_type;
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+  static const bool has_fixed_range = true;
+  static const result_type min_value = ( c == 0 ? 1 : 0 );
+  static const result_type max_value = m-1;
+#else
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+#endif
+  BOOST_STATIC_CONSTANT(IntType, multiplier = a);
+  BOOST_STATIC_CONSTANT(IntType, increment = c);
+  BOOST_STATIC_CONSTANT(IntType, modulus = m);
+
+  // MSVC 6 and possibly others crash when encountering complicated integral
+  // constant expressions.  Avoid the check for now.
+  // BOOST_STATIC_ASSERT(m == 0 || a < m);
+  // BOOST_STATIC_ASSERT(m == 0 || c < m);
+
+  /**
+   * Constructs a linear_congruential generator, seeding it with @c x0.
+   */
+  explicit linear_congruential(IntType x0 = 1)
+  { 
+    seed(x0);
+
+    // MSVC fails BOOST_STATIC_ASSERT with std::numeric_limits at class scope
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    BOOST_STATIC_ASSERT(std::numeric_limits<IntType>::is_integer);
+#endif
+  }
+
+  /**
+   * Constructs a @c linear_congruential generator and seeds it
+   * with values taken from the itrator range [first, last)
+   * and adjusts first to point to the element after the last one
+   * used.  If there are not enough elements, throws @c std::invalid_argument.
+   *
+   * first and last must be input iterators.
+   */
+  template<class It>
+  linear_congruential(It& first, It last)
+  {
+      seed(first, last);
+  }
+
+  // compiler-generated copy constructor and assignment operator are fine
+
+  /**
+   * If c mod m is zero and x0 mod m is zero, changes the current value of
+   * the generator to 1. Otherwise, changes it to x0 mod m. If c is zero,
+   * distinct seeds in the range [1,m) will leave the generator in distinct
+   * states. If c is not zero, the range is [0,m).
+   */
+  void seed(IntType x0 = 1)
+  {
+    // wrap _x if it doesn't fit in the destination
+    if(modulus == 0) {
+      _x = x0;
+    } else {
+      _x = x0 % modulus;
+    }
+    // handle negative seeds
+    if(_x <= 0 && _x != 0) {
+      _x += modulus;
+    }
+    // adjust to the correct range
+    if(increment == 0 && _x == 0) {
+      _x = 1;
+    }
+    assert(_x >= (min)());
+    assert(_x <= (max)());
+  }
+
+  /**
+   * seeds a @c linear_congruential generator with values taken
+   * from the itrator range [first, last) and adjusts @c first to
+   * point to the element after the last one used.  If there are
+   * not enough elements, throws @c std::invalid_argument.
+   *
+   * @c first and @c last must be input iterators.
+   */
+  template<class It>
+  void seed(It& first, It last)
+  {
+    if(first == last)
+      throw std::invalid_argument("linear_congruential::seed");
+    seed(*first++);
+  }
+
+  /**
+   * Returns the smallest value that the @c linear_congruential generator
+   * can produce.
+   */
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return c == 0 ? 1 : 0; }
+  /**
+   * Returns the largest value that the @c linear_congruential generator
+   * can produce.
+   */
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return modulus-1; }
+
+  /** Returns the next value of the @c linear_congruential generator. */
+  IntType operator()()
+  {
+    _x = const_mod<IntType, m>::mult_add(a, _x, c);
+    return _x;
+  }
+
+  static bool validation(IntType x) { return val == x; }
+
+#ifdef BOOST_NO_OPERATORS_IN_NAMESPACE
+    
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const linear_congruential& rhs) const
+  { return _x == rhs._x; }
+  bool operator!=(const linear_congruential& rhs) const
+  { return !(*this == rhs); }
+
+#else 
+  friend bool operator==(const linear_congruential& x,
+                         const linear_congruential& y)
+  { return x._x == y._x; }
+  friend bool operator!=(const linear_congruential& x,
+                         const linear_congruential& y)
+  { return !(x == y); }
+    
+#if !defined(BOOST_RANDOM_NO_STREAM_OPERATORS) && !BOOST_WORKAROUND(__BORLANDC__, BOOST_TESTED_AT(0x551))
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os,
+             const linear_congruential& lcg)
+  {
+    return os << lcg._x;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is,
+             linear_congruential& lcg)
+  {
+    return is >> lcg._x;
+  }
+ 
+private:
+#endif
+#endif
+
+  IntType _x;
+};
+
+// probably needs the "no native streams" caveat for STLPort
+#if !defined(__SGI_STL_PORT) && BOOST_WORKAROUND(__GNUC__, == 2)
+template<class IntType, IntType a, IntType c, IntType m, IntType val>
+std::ostream&
+operator<<(std::ostream& os,
+           const linear_congruential<IntType,a,c,m,val>& lcg)
+{
+    return os << lcg._x;
+}
+
+template<class IntType, IntType a, IntType c, IntType m, IntType val>
+std::istream&
+operator>>(std::istream& is,
+           linear_congruential<IntType,a,c,m,val>& lcg)
+{
+    return is >> lcg._x;
+}
+#elif defined(BOOST_RANDOM_NO_STREAM_OPERATORS) || BOOST_WORKAROUND(__BORLANDC__, BOOST_TESTED_AT(0x551))
+template<class CharT, class Traits, class IntType, IntType a, IntType c, IntType m, IntType val>
+std::basic_ostream<CharT,Traits>&
+operator<<(std::basic_ostream<CharT,Traits>& os,
+           const linear_congruential<IntType,a,c,m,val>& lcg)
+{
+    return os << lcg._x;
+}
+
+template<class CharT, class Traits, class IntType, IntType a, IntType c, IntType m, IntType val>
+std::basic_istream<CharT,Traits>&
+operator>>(std::basic_istream<CharT,Traits>& is,
+           linear_congruential<IntType,a,c,m,val>& lcg)
+{
+    return is >> lcg._x;
+}
+#endif
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class IntType, IntType a, IntType c, IntType m, IntType val>
+const bool linear_congruential<IntType, a, c, m, val>::has_fixed_range;
+template<class IntType, IntType a, IntType c, IntType m, IntType val>
+const typename linear_congruential<IntType, a, c, m, val>::result_type linear_congruential<IntType, a, c, m, val>::min_value;
+template<class IntType, IntType a, IntType c, IntType m, IntType val>
+const typename linear_congruential<IntType, a, c, m, val>::result_type linear_congruential<IntType, a, c, m, val>::max_value;
+template<class IntType, IntType a, IntType c, IntType m, IntType val>
+const IntType linear_congruential<IntType,a,c,m,val>::modulus;
+#endif
+
+} // namespace random
+
+// validation values from the publications
+/**
+ * The specialization \minstd_rand0 was originally suggested in
+ *
+ *  @blockquote
+ *  A pseudo-random number generator for the System/360, P.A. Lewis,
+ *  A.S. Goodman, J.M. Miller, IBM Systems Journal, Vol. 8, No. 2,
+ *  1969, pp. 136-146
+ *  @endblockquote
+ *
+ * It is examined more closely together with \minstd_rand in
+ *
+ *  @blockquote
+ *  "Random Number Generators: Good ones are hard to find",
+ *  Stephen K. Park and Keith W. Miller, Communications of
+ *  the ACM, Vol. 31, No. 10, October 1988, pp. 1192-1201 
+ *  @endblockquote
+ */
+typedef random::linear_congruential<int32_t, 16807, 0, 2147483647, 
+  1043618065> minstd_rand0;
+
+/** The specialization \minstd_rand was suggested in
+ *
+ *  @blockquote
+ *  "Random Number Generators: Good ones are hard to find",
+ *  Stephen K. Park and Keith W. Miller, Communications of
+ *  the ACM, Vol. 31, No. 10, October 1988, pp. 1192-1201
+ *  @endblockquote
+ */
+typedef random::linear_congruential<int32_t, 48271, 0, 2147483647,
+  399268537> minstd_rand;
+
+
+#if !defined(BOOST_NO_INT64_T) && !defined(BOOST_NO_INTEGRAL_INT64_T)
+/** Class @c rand48 models a \pseudo_random_number_generator. It uses
+ * the linear congruential algorithm with the parameters a = 0x5DEECE66D,
+ * c = 0xB, m = 2**48. It delivers identical results to the @c lrand48()
+ * function available on some systems (assuming lcong48 has not been called).
+ *
+ * It is only available on systems where @c uint64_t is provided as an
+ * integral type, so that for example static in-class constants and/or
+ * enum definitions with large @c uint64_t numbers work.
+ */
+class rand48 
+{
+public:
+  typedef int32_t result_type;
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+  static const bool has_fixed_range = true;
+  static const int32_t min_value = 0;
+  static const int32_t max_value = integer_traits<int32_t>::const_max;
+#else
+  enum { has_fixed_range = false };
+#endif
+  /**
+   * Returns the smallest value that the generator can produce
+   */
+  int32_t min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return 0; }
+  /**
+   * Returns the largest value that the generator can produce
+   */
+  int32_t max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return std::numeric_limits<int32_t>::max BOOST_PREVENT_MACRO_SUBSTITUTION (); }
+  
+#ifdef BOOST_RANDOM_DOXYGEN
+  /**
+   * If T is an integral type smaller than int46_t, constructs
+   * a \rand48 generator with x(0) := (x0 << 16) | 0x330e.  Otherwise
+   * constructs a \rand48 generator with x(0) = x0.
+   */
+  template<class T> explicit rand48(T x0 = 1);
+#else
+  rand48() : lcf(cnv(static_cast<int32_t>(1))) {}
+  template<class T> explicit rand48(T x0) : lcf(cnv(x0)) { }
+#endif
+  template<class It> rand48(It& first, It last) : lcf(first, last) { }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+#ifdef BOOST_RANDOM_DOXYGEN
+  /**
+   * If T is an integral type smaller than int46_t, changes
+   * the current value x(n) of the generator to (x0 << 16) | 0x330e.
+   * Otherwise changes the current value x(n) to x0.
+   */
+  template<class T> void seed(T x0 = 1);
+#else
+  void seed() { seed(static_cast<int32_t>(1)); }
+  template<class T> void seed(T x0) { lcf.seed(cnv(x0)); }
+#endif
+  template<class It> void seed(It& first, It last) { lcf.seed(first,last); }
+
+  /**
+   * Returns the next value of the generator.
+   */
+  int32_t operator()() { return static_cast<int32_t>(lcf() >> 17); }
+  // by experiment from lrand48()
+  static bool validation(int32_t x) { return x == 1993516219; }
+
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT,class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const rand48& r)
+  { os << r.lcf; return os; }
+
+  template<class CharT,class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, rand48& r)
+  { is >> r.lcf; return is; }
+#endif
+
+  friend bool operator==(const rand48& x, const rand48& y)
+  { return x.lcf == y.lcf; }
+  friend bool operator!=(const rand48& x, const rand48& y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const rand48& rhs) const
+  { return lcf == rhs.lcf; }
+  bool operator!=(const rand48& rhs) const
+  { return !(*this == rhs); }
+#endif
+private:
+  /// \cond hide_private_members
+  random::linear_congruential<uint64_t,
+    uint64_t(0xDEECE66DUL) | (uint64_t(0x5) << 32), // xxxxULL is not portable
+    0xB, uint64_t(1)<<48, /* unknown */ 0> lcf;
+  template<class T>
+  static uint64_t cnv(T x) 
+  {
+    if(sizeof(T) < sizeof(uint64_t)) {
+      return (static_cast<uint64_t>(x) << 16) | 0x330e;
+    } else {
+      return(static_cast<uint64_t>(x));
+    }
+  }
+  static uint64_t cnv(float x) { return(static_cast<uint64_t>(x)); }
+  static uint64_t cnv(double x) { return(static_cast<uint64_t>(x)); }
+  static uint64_t cnv(long double x) { return(static_cast<uint64_t>(x)); }
+  /// \endcond
+};
+#endif /* !BOOST_NO_INT64_T && !BOOST_NO_INTEGRAL_INT64_T */
+
+} // namespace boost
+
+#include <boost/random/detail/enable_warnings.hpp>
+
+#endif // BOOST_RANDOM_LINEAR_CONGRUENTIAL_HPP

Boost/boost/random/linear_feedback_shift.hpp

@@ -0,0 +1,160 @@
+/* boost random/tausworthe.hpp header file
+ *
+ * Copyright Jens Maurer 2002
+ * 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: linear_feedback_shift.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ */
+
+#ifndef BOOST_RANDOM_LINEAR_FEEDBACK_SHIFT_HPP
+#define BOOST_RANDOM_LINEAR_FEEDBACK_SHIFT_HPP
+
+#include <iostream>
+#include <cassert>
+#include <stdexcept>
+#include <boost/config.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/limits.hpp>
+#include <boost/random/detail/config.hpp>
+
+namespace boost {
+namespace random {
+
+/**
+ * Instatiation of @c linear_feedback_shift model a
+ * \pseudo_random_number_generator.  It was originally
+ * proposed in
+ *
+ *  @blockquote
+ *  "Random numbers generated by linear recurrence modulo two.",
+ *  Tausworthe, R. C.(1965), Mathematics of Computation 19, 201-209.
+ *  @endblockquote
+ */
+template<class UIntType, int w, int k, int q, int s, UIntType val>
+class linear_feedback_shift
+{
+public:
+  typedef UIntType result_type;
+  // avoid the warning trouble when using (1<<w) on 32 bit machines
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+  BOOST_STATIC_CONSTANT(int, word_size = w);
+  BOOST_STATIC_CONSTANT(int, exponent1 = k);
+  BOOST_STATIC_CONSTANT(int, exponent2 = q);
+  BOOST_STATIC_CONSTANT(int, step_size = s);
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return 0; }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return wordmask; }
+
+  // MSVC 6 and possibly others crash when encountering complicated integral
+  // constant expressions.  Avoid the checks for now.
+  // BOOST_STATIC_ASSERT(w > 0);
+  // BOOST_STATIC_ASSERT(q > 0);
+  // BOOST_STATIC_ASSERT(k < w);
+  // BOOST_STATIC_ASSERT(0 < 2*q && 2*q < k);
+  // BOOST_STATIC_ASSERT(0 < s && s <= k-q);
+
+  explicit linear_feedback_shift(UIntType s0 = 341) : wordmask(0)
+  {
+    // MSVC fails BOOST_STATIC_ASSERT with std::numeric_limits at class scope
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    BOOST_STATIC_ASSERT(std::numeric_limits<UIntType>::is_integer);
+    BOOST_STATIC_ASSERT(!std::numeric_limits<UIntType>::is_signed);
+#endif
+
+    // avoid "left shift count >= with of type" warning
+    for(int i = 0; i < w; ++i)
+      wordmask |= (1u << i);
+    seed(s0);
+  }
+
+  template<class It> linear_feedback_shift(It& first, It last) : wordmask(0)
+  {
+    // MSVC fails BOOST_STATIC_ASSERT with std::numeric_limits at class scope
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    BOOST_STATIC_ASSERT(std::numeric_limits<UIntType>::is_integer);
+    BOOST_STATIC_ASSERT(!std::numeric_limits<UIntType>::is_signed);
+#endif
+
+    // avoid "left shift count >= with of type" warning
+    for(int i = 0; i < w; ++i)
+      wordmask |= (1u << i);
+    seed(first, last);
+  }
+
+  void seed(UIntType s0 = 341) {
+      if(s0 < (1 << (w-k))) {
+          s0 += 1 << (w-k);
+      }
+      value = s0;
+  }
+  template<class It> void seed(It& first, It last)
+  {
+    if(first == last)
+      throw std::invalid_argument("linear_feedback_shift::seed");
+    value = *first++;
+    assert(value >= (1 << (w-k)));
+  }
+
+  result_type operator()()
+  {
+    const UIntType b = (((value << q) ^ value) & wordmask) >> (k-s);
+    const UIntType mask = ( (~static_cast<UIntType>(0)) << (w-k) ) & wordmask;
+    value = ((value & mask) << s) ^ b;
+    return value;
+  }
+  static bool validation(result_type x) { return val == x; }
+
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, linear_feedback_shift x)
+  { os << x.value; return os; }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, linear_feedback_shift& x)
+  { is >> x.value; return is; }
+#endif
+
+  friend bool operator==(linear_feedback_shift x, linear_feedback_shift y)
+  { return x.value == y.value; }
+  friend bool operator!=(linear_feedback_shift x, linear_feedback_shift y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(linear_feedback_shift rhs) const
+  { return value == rhs.value; }
+  bool operator!=(linear_feedback_shift rhs) const
+  { return !(*this == rhs); }
+#endif
+
+private:
+  UIntType wordmask; // avoid "left shift count >= width of type" warnings
+  UIntType value;
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class UIntType, int w, int k, int q, int s, UIntType val>
+const bool linear_feedback_shift<UIntType, w, k, q, s, val>::has_fixed_range;
+template<class UIntType, int w, int k, int q, int s, UIntType val>
+const int linear_feedback_shift<UIntType, w, k, q, s, val>::word_size;
+template<class UIntType, int w, int k, int q, int s, UIntType val>
+const int linear_feedback_shift<UIntType, w, k, q, s, val>::exponent1;
+template<class UIntType, int w, int k, int q, int s, UIntType val>
+const int linear_feedback_shift<UIntType, w, k, q, s, val>::exponent2;
+template<class UIntType, int w, int k, int q, int s, UIntType val>
+const int linear_feedback_shift<UIntType, w, k, q, s, val>::step_size;
+#endif
+
+} // namespace random
+} // namespace boost
+
+#endif // BOOST_RANDOM_LINEAR_FEEDBACK_SHIFT_HPP

Boost/boost/random/lognormal_distribution.hpp

@@ -0,0 +1,129 @@
+/* boost random/lognormal_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: lognormal_distribution.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_LOGNORMAL_DISTRIBUTION_HPP
+#define BOOST_RANDOM_LOGNORMAL_DISTRIBUTION_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>      // std::exp, std::sqrt
+#include <cassert>
+#include <iostream>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/normal_distribution.hpp>
+
+#ifdef BOOST_NO_STDC_NAMESPACE
+namespace std {
+  using ::log;
+  using ::sqrt;
+}
+#endif
+
+namespace boost {
+
+#if defined(__GNUC__) && (__GNUC__ < 3)
+// Special gcc workaround: gcc 2.95.x ignores using-declarations
+// in template classes (confirmed by gcc author Martin v. Loewis)
+  using std::sqrt;
+  using std::exp;
+#endif
+
+/**
+ * Instantiations of class template lognormal_distribution model a
+ * \random_distribution. Such a distribution produces random numbers
+ * with \f$p(x) = \frac{1}{x \sigma_N \sqrt{2\pi}} e^{\frac{-\left(\log(x)-\mu_N\right)^2}{2\sigma_N^2}}\f$
+ * for x > 0, where \f$\mu_N = \log\left(\frac{\mu^2}{\sqrt{\sigma^2 + \mu^2}}\right)\f$ and
+ * \f$\sigma_N = \sqrt{\log\left(1 + \frac{\sigma^2}{\mu^2}\right)}\f$.
+ */
+template<class RealType = double>
+class lognormal_distribution
+{
+public:
+  typedef typename normal_distribution<RealType>::input_type input_type;
+  typedef RealType result_type;
+
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    BOOST_STATIC_ASSERT(!std::numeric_limits<RealType>::is_integer);
+#endif
+
+  /**
+   * Constructs a lognormal_distribution. @c mean and @c sigma are the
+   * mean and standard deviation of the lognormal distribution.
+   */
+  explicit lognormal_distribution(result_type mean_arg = result_type(1),
+                                  result_type sigma_arg = result_type(1))
+    : _mean(mean_arg), _sigma(sigma_arg)
+  { 
+    assert(_mean > result_type(0));
+    init();
+  }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  RealType mean() const { return _mean; }
+  RealType sigma() const { return _sigma; }
+  void reset() { _normal.reset(); }
+
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::exp;
+#endif
+    return exp(_normal(eng) * _nsigma + _nmean);
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const lognormal_distribution& ld)
+  {
+    os << ld._normal << " " << ld._mean << " " << ld._sigma;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, lognormal_distribution& ld)
+  {
+    is >> std::ws >> ld._normal >> std::ws >> ld._mean >> std::ws >> ld._sigma;
+    ld.init();
+    return is;
+  }
+#endif
+
+private:
+
+  /// \cond hide_private_members
+  void init()
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::exp; using std::log; using std::sqrt;
+#endif
+    _nmean = log(_mean*_mean/sqrt(_sigma*_sigma + _mean*_mean));
+    _nsigma = sqrt(log(_sigma*_sigma/_mean/_mean+result_type(1)));
+  }
+  /// \endcond
+
+  RealType _mean, _sigma;
+  RealType _nmean, _nsigma;
+  normal_distribution<result_type> _normal;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_LOGNORMAL_DISTRIBUTION_HPP

Boost/boost/random/mersenne_twister.hpp

@@ -0,0 +1,367 @@
+/* boost random/mersenne_twister.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: mersenne_twister.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_MERSENNE_TWISTER_HPP
+#define BOOST_RANDOM_MERSENNE_TWISTER_HPP
+
+#include <iostream>
+#include <algorithm>     // std::copy
+#include <stdexcept>
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/integer_traits.hpp>
+#include <boost/cstdint.hpp>
+#include <boost/random/linear_congruential.hpp>
+#include <boost/detail/workaround.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/detail/ptr_helper.hpp>
+#include <boost/random/detail/seed.hpp>
+
+namespace boost {
+namespace random {
+
+/**
+ * Instantiations of class template mersenne_twister model a
+ * \pseudo_random_number_generator. It uses the algorithm described in
+ *
+ *  @blockquote
+ *  "Mersenne Twister: A 623-dimensionally equidistributed uniform
+ *  pseudo-random number generator", Makoto Matsumoto and Takuji Nishimura,
+ *  ACM Transactions on Modeling and Computer Simulation: Special Issue on
+ *  Uniform Random Number Generation, Vol. 8, No. 1, January 1998, pp. 3-30. 
+ *  @endblockquote
+ *
+ * @xmlnote
+ * The boost variant has been implemented from scratch and does not
+ * derive from or use mt19937.c provided on the above WWW site. However, it
+ * was verified that both produce identical output.
+ * @endxmlnote
+ *
+ * The seeding from an integer was changed in April 2005 to address a
+ * <a href="http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/MT2002/emt19937ar.html">weakness</a>.
+ * 
+ * The quality of the generator crucially depends on the choice of the
+ * parameters.  User code should employ one of the sensibly parameterized
+ * generators such as \mt19937 instead.
+ *
+ * The generator requires considerable amounts of memory for the storage of
+ * its state array. For example, \mt11213b requires about 1408 bytes and
+ * \mt19937 requires about 2496 bytes.
+ */
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+class mersenne_twister
+{
+public:
+  typedef UIntType result_type;
+  BOOST_STATIC_CONSTANT(int, word_size = w);
+  BOOST_STATIC_CONSTANT(int, state_size = n);
+  BOOST_STATIC_CONSTANT(int, shift_size = m);
+  BOOST_STATIC_CONSTANT(int, mask_bits = r);
+  BOOST_STATIC_CONSTANT(UIntType, parameter_a = a);
+  BOOST_STATIC_CONSTANT(int, output_u = u);
+  BOOST_STATIC_CONSTANT(int, output_s = s);
+  BOOST_STATIC_CONSTANT(UIntType, output_b = b);
+  BOOST_STATIC_CONSTANT(int, output_t = t);
+  BOOST_STATIC_CONSTANT(UIntType, output_c = c);
+  BOOST_STATIC_CONSTANT(int, output_l = l);
+
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+  
+  /**
+   * Constructs a @c mersenne_twister and calls @c seed().
+   */
+  mersenne_twister() { seed(); }
+
+  /**
+   * Constructs a @c mersenne_twister and calls @c seed(value).
+   */
+  BOOST_RANDOM_DETAIL_ARITHMETIC_CONSTRUCTOR(mersenne_twister, UIntType, value)
+  { seed(value); }
+  template<class It> mersenne_twister(It& first, It last) { seed(first,last); }
+
+  /**
+   * Constructs a mersenne_twister and calls @c seed(gen).
+   *
+   * @xmlnote
+   * The copy constructor will always be preferred over
+   * the templated constructor.
+   * @endxmlnote
+   */
+  BOOST_RANDOM_DETAIL_GENERATOR_CONSTRUCTOR(mersenne_twister, Generator, gen)
+  { seed(gen); }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  /** Calls @c seed(result_type(5489)). */
+  void seed() { seed(UIntType(5489)); }
+
+  /**
+   * Sets the state x(0) to v mod 2w. Then, iteratively,
+   * sets x(i) to (i + 1812433253 * (x(i-1) xor (x(i-1) rshift w-2))) mod 2<sup>w</sup>
+   * for i = 1 .. n-1. x(n) is the first value to be returned by operator().
+   */
+  BOOST_RANDOM_DETAIL_ARITHMETIC_SEED(mersenne_twister, UIntType, value)
+  {
+    // New seeding algorithm from 
+    // http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/MT2002/emt19937ar.html
+    // In the previous versions, MSBs of the seed affected only MSBs of the
+    // state x[].
+    const UIntType mask = ~0u;
+    x[0] = value & mask;
+    for (i = 1; i < n; i++) {
+      // See Knuth "The Art of Computer Programming" Vol. 2, 3rd ed., page 106
+      x[i] = (1812433253UL * (x[i-1] ^ (x[i-1] >> (w-2))) + i) & mask;
+    }
+  }
+
+  /**
+   * Sets the state of this mersenne_twister to the values
+   * returned by n invocations of gen.
+   *
+   * Complexity: Exactly n invocations of gen.
+   */
+  BOOST_RANDOM_DETAIL_GENERATOR_SEED(mersenne_twister, Generator, gen)
+  {
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    BOOST_STATIC_ASSERT(!std::numeric_limits<result_type>::is_signed);
+#endif
+    // I could have used std::generate_n, but it takes "gen" by value
+    for(int j = 0; j < n; j++)
+      x[j] = gen();
+    i = n;
+  }
+
+  template<class It>
+  void seed(It& first, It last)
+  {
+    int j;
+    for(j = 0; j < n && first != last; ++j, ++first)
+      x[j] = *first;
+    i = n;
+    if(first == last && j < n)
+      throw std::invalid_argument("mersenne_twister::seed");
+  }
+  
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return 0; }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const
+  {
+    // avoid "left shift count >= with of type" warning
+    result_type res = 0;
+    for(int j = 0; j < w; ++j)
+      res |= (1u << j);
+    return res;
+  }
+
+  result_type operator()();
+  static bool validation(result_type v) { return val == v; }
+
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const mersenne_twister& mt)
+  {
+    for(int j = 0; j < mt.state_size; ++j)
+      os << mt.compute(j) << " ";
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, mersenne_twister& mt)
+  {
+    for(int j = 0; j < mt.state_size; ++j)
+      is >> mt.x[j] >> std::ws;
+    // MSVC (up to 7.1) and Borland (up to 5.64) don't handle the template
+    // value parameter "n" available from the class template scope, so use
+    // the static constant with the same value
+    mt.i = mt.state_size;
+    return is;
+  }
+#endif
+
+  friend bool operator==(const mersenne_twister& x, const mersenne_twister& y)
+  {
+    for(int j = 0; j < state_size; ++j)
+      if(x.compute(j) != y.compute(j))
+        return false;
+    return true;
+  }
+
+  friend bool operator!=(const mersenne_twister& x, const mersenne_twister& y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const mersenne_twister& rhs) const
+  {
+    for(int j = 0; j < state_size; ++j)
+      if(compute(j) != rhs.compute(j))
+        return false;
+    return true;
+  }
+
+  bool operator!=(const mersenne_twister& rhs) const
+  { return !(*this == rhs); }
+#endif
+
+private:
+  /// \cond hide_private_members
+  // returns x(i-n+index), where index is in 0..n-1
+  UIntType compute(unsigned int index) const
+  {
+    // equivalent to (i-n+index) % 2n, but doesn't produce negative numbers
+    return x[ (i + n + index) % (2*n) ];
+  }
+  void twist(int block);
+  /// \endcond
+
+  // state representation: next output is o(x(i))
+  //   x[0]  ... x[k] x[k+1] ... x[n-1]     x[n]     ... x[2*n-1]   represents
+  //  x(i-k) ... x(i) x(i+1) ... x(i-k+n-1) x(i-k-n) ... x[i(i-k-1)]
+  // The goal is to always have x(i-n) ... x(i-1) available for
+  // operator== and save/restore.
+
+  UIntType x[2*n]; 
+  int i;
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const bool mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::has_fixed_range;
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::state_size;
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::shift_size;
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::mask_bits;
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const UIntType mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::parameter_a;
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_u;
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_s;
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const UIntType mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_b;
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_t;
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const UIntType mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_c;
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_l;
+#endif
+
+/// \cond hide_private_members
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+void mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::twist(int block)
+{
+  const UIntType upper_mask = (~0u) << r;
+  const UIntType lower_mask = ~upper_mask;
+
+  if(block == 0) {
+    for(int j = n; j < 2*n; j++) {
+      UIntType y = (x[j-n] & upper_mask) | (x[j-(n-1)] & lower_mask);
+      x[j] = x[j-(n-m)] ^ (y >> 1) ^ (y&1 ? a : 0);
+    }
+  } else if (block == 1) {
+    // split loop to avoid costly modulo operations
+    {  // extra scope for MSVC brokenness w.r.t. for scope
+      for(int j = 0; j < n-m; j++) {
+        UIntType y = (x[j+n] & upper_mask) | (x[j+n+1] & lower_mask);
+        x[j] = x[j+n+m] ^ (y >> 1) ^ (y&1 ? a : 0);
+      }
+    }
+    
+    for(int j = n-m; j < n-1; j++) {
+      UIntType y = (x[j+n] & upper_mask) | (x[j+n+1] & lower_mask);
+      x[j] = x[j-(n-m)] ^ (y >> 1) ^ (y&1 ? a : 0);
+    }
+    // last iteration
+    UIntType y = (x[2*n-1] & upper_mask) | (x[0] & lower_mask);
+    x[n-1] = x[m-1] ^ (y >> 1) ^ (y&1 ? a : 0);
+    i = 0;
+  }
+}
+/// \endcond
+
+template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
+  int s, UIntType b, int t, UIntType c, int l, UIntType val>
+inline typename mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::result_type
+mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::operator()()
+{
+  if(i == n)
+    twist(0);
+  else if(i >= 2*n)
+    twist(1);
+  // Step 4
+  UIntType z = x[i];
+  ++i;
+  z ^= (z >> u);
+  z ^= ((z << s) & b);
+  z ^= ((z << t) & c);
+  z ^= (z >> l);
+  return z;
+}
+
+} // namespace random
+
+/**
+ * The specializations \mt11213b and \mt19937 are from
+ *
+ *  @blockquote
+ *  "Mersenne Twister: A 623-dimensionally equidistributed
+ *  uniform pseudo-random number generator", Makoto Matsumoto
+ *  and Takuji Nishimura, ACM Transactions on Modeling and
+ *  Computer Simulation: Special Issue on Uniform Random Number
+ *  Generation, Vol. 8, No. 1, January 1998, pp. 3-30. 
+ *  @endblockquote
+ */
+typedef random::mersenne_twister<uint32_t,32,351,175,19,0xccab8ee7,11,
+  7,0x31b6ab00,15,0xffe50000,17, 0xa37d3c92> mt11213b;
+
+/**
+ * The specializations \mt11213b and \mt19937 are from
+ *
+ *  @blockquote
+ *  "Mersenne Twister: A 623-dimensionally equidistributed
+ *  uniform pseudo-random number generator", Makoto Matsumoto
+ *  and Takuji Nishimura, ACM Transactions on Modeling and
+ *  Computer Simulation: Special Issue on Uniform Random Number
+ *  Generation, Vol. 8, No. 1, January 1998, pp. 3-30. 
+ *  @endblockquote
+ */
+typedef random::mersenne_twister<uint32_t,32,624,397,31,0x9908b0df,11,
+  7,0x9d2c5680,15,0xefc60000,18, 3346425566U> mt19937;
+
+} // namespace boost
+
+BOOST_RANDOM_PTR_HELPER_SPEC(boost::mt19937)
+
+#endif // BOOST_RANDOM_MERSENNE_TWISTER_HPP

Boost/boost/random/normal_distribution.hpp

@@ -0,0 +1,131 @@
+/* boost random/normal_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: normal_distribution.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_NORMAL_DISTRIBUTION_HPP
+#define BOOST_RANDOM_NORMAL_DISTRIBUTION_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>
+#include <cassert>
+#include <iostream>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+
+namespace boost {
+
+/**
+ * Instantiations of class template normal_distribution model a
+ * \random_distribution. Such a distribution produces random numbers
+ * @c x distributed with probability density function
+ * \f$p(x) = \frac{1}{\sqrt{2\pi\sigma}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}\f$,
+ * where mean and sigma are the parameters of the distribution.
+ */
+// deterministic Box-Muller method, uses trigonometric functions
+template<class RealType = double>
+class normal_distribution
+{
+public:
+  typedef RealType input_type;
+  typedef RealType result_type;
+
+#if !defined(BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS) && !(defined(BOOST_MSVC) && BOOST_MSVC <= 1300)
+    BOOST_STATIC_ASSERT(!std::numeric_limits<RealType>::is_integer);
+#endif
+
+  /**
+   * Constructs a normal_distribution object. @c mean and @c sigma are
+   * the parameters for the distribution.
+   *
+   * Requires: sigma > 0
+   */
+  explicit normal_distribution(const result_type& mean_arg = result_type(0),
+                               const result_type& sigma_arg = result_type(1))
+    : _mean(mean_arg), _sigma(sigma_arg), _valid(false)
+  {
+    assert(_sigma >= result_type(0));
+  }
+
+  // compiler-generated copy constructor is NOT fine, need to purge cache
+  normal_distribution(const normal_distribution& other)
+    : _mean(other._mean), _sigma(other._sigma), _valid(false)
+  {
+  }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  /**
+   * Returns: The "mean" parameter of the distribution.
+   */
+  RealType mean() const { return _mean; }
+  /**
+   * Returns: The "sigma" parameter of the distribution.
+   */
+  RealType sigma() const { return _sigma; }
+
+  void reset() { _valid = false; }
+
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::sqrt; using std::log; using std::sin; using std::cos;
+#endif
+    if(!_valid) {
+      _r1 = eng();
+      _r2 = eng();
+      _cached_rho = sqrt(-result_type(2) * log(result_type(1)-_r2));
+      _valid = true;
+    } else {
+      _valid = false;
+    }
+    // Can we have a boost::mathconst please?
+    const result_type pi = result_type(3.14159265358979323846);
+    
+    return _cached_rho * (_valid ?
+                          cos(result_type(2)*pi*_r1) :
+                          sin(result_type(2)*pi*_r1))
+      * _sigma + _mean;
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const normal_distribution& nd)
+  {
+    os << nd._mean << " " << nd._sigma << " "
+       << nd._valid << " " << nd._cached_rho << " " << nd._r1;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, normal_distribution& nd)
+  {
+    is >> std::ws >> nd._mean >> std::ws >> nd._sigma
+       >> std::ws >> nd._valid >> std::ws >> nd._cached_rho
+       >> std::ws >> nd._r1;
+    return is;
+  }
+#endif
+private:
+  result_type _mean, _sigma;
+  result_type _r1, _r2, _cached_rho;
+  bool _valid;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_NORMAL_DISTRIBUTION_HPP

Boost/boost/random/poisson_distribution.hpp

@@ -0,0 +1,116 @@
+/* boost random/poisson_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2002
+ * 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: poisson_distribution.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ */
+
+#ifndef BOOST_RANDOM_POISSON_DISTRIBUTION_HPP
+#define BOOST_RANDOM_POISSON_DISTRIBUTION_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>
+#include <cassert>
+#include <iostream>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+
+namespace boost {
+
+// Knuth
+
+/**
+ * An instantiation of the class template @c poisson_distribution is a
+ * model of \random_distribution.  The poisson distribution has
+ * \f$p(i) = \frac{e^{-\lambda}\lambda^i}{i!}\f$
+ */
+template<class IntType = int, class RealType = double>
+class poisson_distribution
+{
+public:
+  typedef RealType input_type;
+  typedef IntType result_type;
+
+  /**
+   * Constructs a @c poisson_distribution with the parameter @c mean.
+   *
+   * Requires: mean > 0
+   */
+  explicit poisson_distribution(const RealType& mean_arg = RealType(1))
+    : _mean(mean_arg)
+  {
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    // MSVC fails BOOST_STATIC_ASSERT with std::numeric_limits at class scope
+    BOOST_STATIC_ASSERT(std::numeric_limits<IntType>::is_integer);
+    BOOST_STATIC_ASSERT(!std::numeric_limits<RealType>::is_integer);
+#endif
+
+    assert(_mean > RealType(0));
+    init();
+  }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  /**
+   * Returns: the "mean" parameter of the distribution.
+   */
+  RealType mean() const { return _mean; }
+  void reset() { }
+
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+    // TODO: This is O(_mean), but it should be O(log(_mean)) for large _mean
+    RealType product = RealType(1);
+    for(result_type m = 0; ; ++m) {
+      product *= eng();
+      if(product <= _exp_mean)
+        return m;
+    }
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const poisson_distribution& pd)
+  {
+    os << pd._mean;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, poisson_distribution& pd)
+  {
+    is >> std::ws >> pd._mean;
+    pd.init();
+    return is;
+  }
+#endif
+
+private:
+  /// \cond hide_private_members
+  void init()
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::exp;
+#endif
+    _exp_mean = exp(-_mean);
+  }
+  /// \endcond
+
+  RealType _mean;
+  // some precomputed data from the parameters
+  RealType _exp_mean;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_POISSON_DISTRIBUTION_HPP

Boost/boost/random/random_number_generator.hpp

@@ -0,0 +1,71 @@
+/* boost random/random_number_generator.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: random_number_generator.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_RANDOM_NUMBER_GENERATOR_HPP
+#define BOOST_RANDOM_RANDOM_NUMBER_GENERATOR_HPP
+
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/uniform_int.hpp>
+#include <boost/random/variate_generator.hpp>
+
+namespace boost {
+
+/**
+ * Instantiations of class template random_number_generator model a
+ * RandomNumberGenerator (std:25.2.11 [lib.alg.random.shuffle]). On
+ * each invocation, it returns a uniformly distributed integer in
+ * the range [0..n).
+ *
+ * The template parameter IntType shall denote some integer-like value type.
+ */
+template<class UniformRandomNumberGenerator, class IntType = long>
+class random_number_generator
+{
+public:
+  typedef UniformRandomNumberGenerator base_type;
+  typedef IntType argument_type;
+  typedef IntType result_type;
+  /**
+   * Constructs a random_number_generator functor with the given
+   * \uniform_random_number_generator as the underlying source of
+   * random numbers.
+   */
+  random_number_generator(base_type& rng) : _rng(rng)
+  { 
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    BOOST_STATIC_ASSERT(std::numeric_limits<result_type>::is_integer);
+#endif
+  }
+  // compiler-generated copy ctor is fine
+  // assignment is disallowed because there is a reference member
+
+  /**
+   * Returns a value in the range [0, n)
+   */
+  result_type operator()(argument_type n)
+  {
+    typedef uniform_int<IntType> dist_type;
+    return variate_generator<base_type&, dist_type>(_rng, dist_type(0, n-1))();
+  }
+
+private:
+  base_type& _rng;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_RANDOM_NUMBER_GENERATOR_HPP

Boost/boost/random/ranlux.hpp

@@ -0,0 +1,81 @@
+/* boost random/ranlux.hpp header file
+ *
+ * Copyright Jens Maurer 2002
+ * 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: ranlux.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  created
+ */
+
+#ifndef BOOST_RANDOM_RANLUX_HPP
+#define BOOST_RANDOM_RANLUX_HPP
+
+#include <boost/config.hpp>
+#include <boost/random/subtract_with_carry.hpp>
+#include <boost/random/discard_block.hpp>
+
+namespace boost {
+
+namespace random {
+  typedef subtract_with_carry<int, (1<<24), 10, 24, 0> ranlux_base;
+  typedef subtract_with_carry_01<float, 24, 10, 24> ranlux_base_01;
+  typedef subtract_with_carry_01<double, 48, 10, 24> ranlux64_base_01;
+}
+
+namespace random {
+namespace detail {
+/**
+ * The ranlux family of generators are described in
+ *
+ *  @blockquote
+ *  "A portable high-quality random number generator for lattice field theory
+ *  calculations", M. Luescher, Computer Physics Communications, 79 (1994)
+ *  pp 100-110. 
+ *  @endblockquote
+ *
+ * The levels are given in
+ * 
+ *  @blockquote
+ *  "RANLUX: A Fortran implementation ofthe high-quality
+ *  pseudorandom number generator of Luescher", F. James,
+ *  Computer Physics Communications 79 (1994) 111-114
+ *  @endblockquote
+ */
+class ranlux_documentation {};
+}
+}
+
+/** @copydoc boost::random::detail::ranlux_documentation */
+typedef random::discard_block<random::ranlux_base, 223, 24> ranlux3;
+/** @copydoc boost::random::detail::ranlux_documentation */
+typedef random::discard_block<random::ranlux_base, 389, 24> ranlux4;
+
+/** @copydoc boost::random::detail::ranlux_documentation */
+typedef random::discard_block<random::ranlux_base_01, 223, 24> ranlux3_01;
+/** @copydoc boost::random::detail::ranlux_documentation */
+typedef random::discard_block<random::ranlux_base_01, 389, 24> ranlux4_01;
+
+/** @copydoc boost::random::detail::ranlux_documentation */
+typedef random::discard_block<random::ranlux64_base_01, 223, 24> ranlux64_3_01;
+/** @copydoc boost::random::detail::ranlux_documentation */
+typedef random::discard_block<random::ranlux64_base_01, 389, 24> ranlux64_4_01;
+
+#if !defined(BOOST_NO_INT64_T) && !defined(BOOST_NO_INTEGRAL_INT64_T)
+namespace random {
+  typedef random::subtract_with_carry<int64_t, (int64_t(1)<<48), 10, 24, 0> ranlux64_base;
+}
+/** @copydoc boost::random::detail::ranlux_documentation */
+typedef random::discard_block<random::ranlux64_base, 223, 24> ranlux64_3;
+/** @copydoc boost::random::detail::ranlux_documentation */
+typedef random::discard_block<random::ranlux64_base, 389, 24> ranlux64_4;
+#endif /* !BOOST_NO_INT64_T && !BOOST_NO_INTEGRAL_INT64_T */
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_LINEAR_CONGRUENTIAL_HPP

Boost/boost/random/shuffle_output.hpp

@@ -0,0 +1,234 @@
+/* boost random/shuffle_output.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: shuffle_output.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_SHUFFLE_OUTPUT_HPP
+#define BOOST_RANDOM_SHUFFLE_OUTPUT_HPP
+
+#include <iostream>
+#include <algorithm>     // std::copy
+#include <cassert>
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/cstdint.hpp>
+#include <boost/random/linear_congruential.hpp>
+
+namespace boost {
+namespace random {
+
+/**
+ * Instatiations of class template shuffle_output model a
+ * \pseudo_random_number_generator. It mixes the output
+ * of some (usually \linear_congruential) \uniform_random_number_generator
+ * to get better statistical properties.
+ * The algorithm is described in
+ *
+ *  @blockquote
+ *  "Improving a poor random number generator", Carter Bays
+ *  and S.D. Durham, ACM Transactions on Mathematical Software,
+ *  Vol 2, No. 1, March 1976, pp. 59-64.
+ *  http://doi.acm.org/10.1145/355666.355670
+ *  @endblockquote
+ *
+ * The output of the base generator is buffered in an array of
+ * length k. Every output X(n) has a second role: It gives an
+ * index into the array where X(n+1) will be retrieved. Used
+ * array elements are replaced with fresh output from the base
+ * generator.
+ *
+ * Template parameters are the base generator and the array
+ * length k, which should be around 100. The template parameter
+ * val is the validation value checked by validation.
+ */
+template<class UniformRandomNumberGenerator, int k,
+#ifndef BOOST_NO_DEPENDENT_TYPES_IN_TEMPLATE_VALUE_PARAMETERS
+  typename UniformRandomNumberGenerator::result_type 
+#else
+  uint32_t
+#endif
+  val = 0>
+class shuffle_output
+{
+public:
+  typedef UniformRandomNumberGenerator base_type;
+  typedef typename base_type::result_type result_type;
+
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+  BOOST_STATIC_CONSTANT(int, buffer_size = k);
+
+  /**
+   * Constructs a @c shuffle_output generator by invoking the
+   * default constructor of the base generator.
+   *
+   * Complexity: Exactly k+1 invocations of the base generator.
+   */
+  shuffle_output() : _rng() { init(); }
+#if defined(BOOST_MSVC) && _MSC_VER < 1300
+  // MSVC does not implicitly generate the copy constructor here
+  shuffle_output(const shuffle_output & x)
+    : _rng(x._rng), y(x.y) { std::copy(x.v, x.v+k, v); }
+#endif
+  /**
+   * Constructs a shuffle_output generator by invoking the one-argument
+   * constructor of the base generator with the parameter seed.
+   *
+   * Complexity: Exactly k+1 invocations of the base generator.
+   */
+  template<class T>
+  explicit shuffle_output(T s) : _rng(s) { init(); }
+  /**
+   * Constructs a shuffle_output generator by using a copy
+   * of the provided generator.
+   *
+   * Precondition: The template argument UniformRandomNumberGenerator
+   * shall denote a CopyConstructible type.
+   *
+   * Complexity: Exactly k+1 invocations of the base generator.
+   */
+  explicit shuffle_output(const base_type & rng) : _rng(rng) { init(); }
+  template<class It> shuffle_output(It& first, It last)
+    : _rng(first, last) { init(); }
+  void seed() { _rng.seed(); init(); }
+  /**
+   * Invokes the one-argument seed method of the base generator
+   * with the parameter seed and re-initializes the internal buffer array.
+   *
+   * Complexity: Exactly k+1 invocations of the base generator.
+   */
+  template<class T>
+  void seed(T s) { _rng.seed(s); init(); }
+  template<class It> void seed(It& first, It last)
+  {
+    _rng.seed(first, last);
+    init();
+  }
+
+  const base_type& base() const { return _rng; }
+
+  result_type operator()() {
+    // calculating the range every time may seem wasteful.  However, this
+    // makes the information locally available for the optimizer.
+    result_type range = (max)()-(min)()+1;
+    int j = k*(y-(min)())/range;
+    // assert(0 <= j && j < k);
+    y = v[j];
+    v[j] = _rng();
+    return y;
+  }
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (_rng.min)(); }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (_rng.max)(); }
+  static bool validation(result_type x) { return val == x; }
+
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const shuffle_output& s)
+  {
+    os << s._rng << " " << s.y << " ";
+    for(int i = 0; i < s.buffer_size; ++i)
+      os << s.v[i] << " ";
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, shuffle_output& s)
+  {
+    is >> s._rng >> std::ws >> s.y >> std::ws;
+    for(int i = 0; i < s.buffer_size; ++i)
+      is >> s.v[i] >> std::ws;
+    return is;
+  }
+#endif
+
+  friend bool operator==(const shuffle_output& x, const shuffle_output& y)
+  { return x._rng == y._rng && x.y == y.y && std::equal(x.v, x.v+k, y.v); }
+  friend bool operator!=(const shuffle_output& x, const shuffle_output& y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const shuffle_output& rhs) const
+  { return _rng == rhs._rng && y == rhs.y && std::equal(v, v+k, rhs.v); }
+  bool operator!=(const shuffle_output& rhs) const
+  { return !(*this == rhs); }
+#endif
+private:
+  void init()
+  {
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    BOOST_STATIC_ASSERT(std::numeric_limits<result_type>::is_integer);
+#endif
+    result_type range = (max)()-(min)();
+    assert(range > 0);      // otherwise there would be little choice
+    if(static_cast<unsigned long>(k * range) < 
+       static_cast<unsigned long>(range))  // not a sufficient condition
+      // likely overflow with bucket number computation
+      assert(!"overflow will occur");
+
+    // we cannot use std::generate, because it uses pass-by-value for _rng
+    for(result_type * p = v; p != v+k; ++p)
+      *p = _rng();
+    y = _rng();
+  }
+
+  base_type _rng;
+  result_type v[k];
+  result_type y;
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class UniformRandomNumberGenerator, int k, 
+#ifndef BOOST_NO_DEPENDENT_TYPES_IN_TEMPLATE_VALUE_PARAMETERS
+  typename UniformRandomNumberGenerator::result_type 
+#else
+  uint32_t
+#endif
+  val>
+const bool shuffle_output<UniformRandomNumberGenerator, k, val>::has_fixed_range;
+
+template<class UniformRandomNumberGenerator, int k, 
+#ifndef BOOST_NO_DEPENDENT_TYPES_IN_TEMPLATE_VALUE_PARAMETERS
+  typename UniformRandomNumberGenerator::result_type 
+#else
+  uint32_t
+#endif
+  val>
+const int shuffle_output<UniformRandomNumberGenerator, k, val>::buffer_size;
+#endif
+
+} // namespace random
+
+// validation by experiment from Harry Erwin's generator.h (private e-mail)
+/**
+ * According to Harry Erwin (private e-mail), the specialization
+ * @c kreutzer1986 was suggested in:
+ *
+ * @blockquote
+ * "System Simulation: Programming Styles and Languages (International
+ * Computer Science Series)", Wolfgang Kreutzer, Addison-Wesley, December 1986.
+ * @endblockquote
+ */
+typedef random::shuffle_output<
+    random::linear_congruential<uint32_t, 1366, 150889, 714025, 0>,
+  97, 139726> kreutzer1986;
+
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_SHUFFLE_OUTPUT_HPP

Boost/boost/random/subtract_with_carry.hpp

@@ -0,0 +1,465 @@
+/* boost random/subtract_with_carry.hpp header file
+ *
+ * Copyright Jens Maurer 2002
+ * 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: subtract_with_carry.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2002-03-02  created
+ */
+
+#ifndef BOOST_RANDOM_SUBTRACT_WITH_CARRY_HPP
+#define BOOST_RANDOM_SUBTRACT_WITH_CARRY_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>
+#include <iostream>
+#include <algorithm>     // std::equal
+#include <stdexcept>
+#include <boost/config/no_tr1/cmath.hpp>         // std::pow
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/cstdint.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/detail/workaround.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/detail/seed.hpp>
+#include <boost/random/linear_congruential.hpp>
+
+
+namespace boost {
+namespace random {
+
+#if BOOST_WORKAROUND(_MSC_FULL_VER, BOOST_TESTED_AT(13102292)) && BOOST_MSVC > 1300
+#  define BOOST_RANDOM_EXTRACT_SWC_01
+#endif
+
+#if defined(__APPLE_CC__) && defined(__GNUC__) && (__GNUC__ == 3) && (__GNUC_MINOR__ <= 3)
+#  define BOOST_RANDOM_EXTRACT_SWC_01
+#endif
+
+# ifdef BOOST_RANDOM_EXTRACT_SWC_01
+namespace detail
+{
+  template <class IStream, class SubtractWithCarry, class RealType>
+  void extract_subtract_with_carry_01(
+      IStream& is
+      , SubtractWithCarry& f
+      , RealType& carry
+      , RealType* x
+      , RealType modulus)
+  {
+    RealType value;
+    for(unsigned int j = 0; j < f.long_lag; ++j) {
+      is >> value >> std::ws;
+      x[j] = value / modulus;
+    }
+    is >> value >> std::ws;
+    carry = value / modulus;
+  }
+}
+# endif
+
+/**
+ * Instantiations of @c subtract_with_carry model a
+ * \pseudo_random_number_generator.  The algorithm is
+ * described in
+ *
+ *  @blockquote
+ *  "A New Class of Random Number Generators", George
+ *  Marsaglia and Arif Zaman, Annals of Applied Probability,
+ *  Volume 1, Number 3 (1991), 462-480.
+ *  @endblockquote
+ */
+template<class IntType, IntType m, unsigned int s, unsigned int r,
+  IntType val>
+class subtract_with_carry
+{
+public:
+  typedef IntType result_type;
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = true);
+  BOOST_STATIC_CONSTANT(result_type, min_value = 0);
+  BOOST_STATIC_CONSTANT(result_type, max_value = m-1);
+  BOOST_STATIC_CONSTANT(result_type, modulus = m);
+  BOOST_STATIC_CONSTANT(unsigned int, long_lag = r);
+  BOOST_STATIC_CONSTANT(unsigned int, short_lag = s);
+
+  subtract_with_carry() {
+    // MSVC fails BOOST_STATIC_ASSERT with std::numeric_limits at class scope
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    BOOST_STATIC_ASSERT(std::numeric_limits<result_type>::is_signed);
+    BOOST_STATIC_ASSERT(std::numeric_limits<result_type>::is_integer);
+#endif
+    seed();
+  }
+  BOOST_RANDOM_DETAIL_ARITHMETIC_CONSTRUCTOR(subtract_with_carry, uint32_t, value)
+  { seed(value); }
+  BOOST_RANDOM_DETAIL_GENERATOR_CONSTRUCTOR(subtract_with_carry, Generator, gen)
+  { seed(gen); }
+  template<class It> subtract_with_carry(It& first, It last) { seed(first,last); }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  void seed() { seed(19780503u); }
+  BOOST_RANDOM_DETAIL_ARITHMETIC_SEED(subtract_with_carry, uint32_t, value)
+  {
+    random::linear_congruential<int32_t, 40014, 0, 2147483563, 0> intgen(value);
+    seed(intgen);
+  }
+
+  // For GCC, moving this function out-of-line prevents inlining, which may
+  // reduce overall object code size.  However, MSVC does not grok
+  // out-of-line template member functions.
+  BOOST_RANDOM_DETAIL_GENERATOR_SEED(subtract_with_carry, Generator, gen)
+  {
+    // I could have used std::generate_n, but it takes "gen" by value
+    for(unsigned int j = 0; j < long_lag; ++j)
+      x[j] = gen() % modulus;
+    carry = (x[long_lag-1] == 0);
+    k = 0;
+  }
+
+  template<class It>
+  void seed(It& first, It last)
+  {
+    unsigned int j;
+    for(j = 0; j < long_lag && first != last; ++j, ++first)
+      x[j] = *first % modulus;
+    if(first == last && j < long_lag)
+      throw std::invalid_argument("subtract_with_carry::seed");
+    carry = (x[long_lag-1] == 0);
+    k = 0;
+   }
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return min_value; }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return max_value; }
+
+  result_type operator()()
+  {
+    int short_index = k - short_lag;
+    if(short_index < 0)
+      short_index += long_lag;
+    IntType delta;
+    if (x[short_index] >= x[k] + carry) {
+      // x(n) >= 0
+      delta =  x[short_index] - (x[k] + carry);
+      carry = 0;
+    } else {
+      // x(n) < 0
+      delta = modulus - x[k] - carry + x[short_index];
+      carry = 1;
+    }
+    x[k] = delta;
+    ++k;
+    if(k >= long_lag)
+      k = 0;
+    return delta;
+  }
+
+public:
+  static bool validation(result_type x) { return x == val; }
+  
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os,
+             const subtract_with_carry& f)
+  {
+    for(unsigned int j = 0; j < f.long_lag; ++j)
+      os << f.compute(j) << " ";
+    os << f.carry << " ";
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, subtract_with_carry& f)
+  {
+    for(unsigned int j = 0; j < f.long_lag; ++j)
+      is >> f.x[j] >> std::ws;
+    is >> f.carry >> std::ws;
+    f.k = 0;
+    return is;
+  }
+#endif
+
+  friend bool operator==(const subtract_with_carry& x, const subtract_with_carry& y)
+  {
+    for(unsigned int j = 0; j < r; ++j)
+      if(x.compute(j) != y.compute(j))
+        return false;
+    return true;
+  }
+
+  friend bool operator!=(const subtract_with_carry& x, const subtract_with_carry& y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const subtract_with_carry& rhs) const
+  {
+    for(unsigned int j = 0; j < r; ++j)
+      if(compute(j) != rhs.compute(j))
+        return false;
+    return true;
+  }
+
+  bool operator!=(const subtract_with_carry& rhs) const
+  { return !(*this == rhs); }
+#endif
+
+private:
+  /// \cond hide_private_members
+  // returns x(i-r+index), where index is in 0..r-1
+  IntType compute(unsigned int index) const
+  {
+    return x[(k+index) % long_lag];
+  }
+  /// \endcond
+
+  // state representation; next output (state) is x(i)
+  //   x[0]  ... x[k] x[k+1] ... x[long_lag-1]     represents
+  //  x(i-k) ... x(i) x(i+1) ... x(i-k+long_lag-1)
+  // speed: base: 20-25 nsec
+  // ranlux_4: 230 nsec, ranlux_7: 430 nsec, ranlux_14: 810 nsec
+  // This state representation makes operator== and save/restore more
+  // difficult, because we've already computed "too much" and thus
+  // have to undo some steps to get at x(i-r) etc.
+
+  // state representation: next output (state) is x(i)
+  //   x[0]  ... x[k] x[k+1]          ... x[long_lag-1]     represents
+  //  x(i-k) ... x(i) x(i-long_lag+1) ... x(i-k-1)
+  // speed: base 28 nsec
+  // ranlux_4: 370 nsec, ranlux_7: 688 nsec, ranlux_14: 1343 nsec
+  IntType x[long_lag];
+  unsigned int k;
+  int carry;
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class IntType, IntType m, unsigned int s, unsigned int r, IntType val>
+const bool subtract_with_carry<IntType, m, s, r, val>::has_fixed_range;
+template<class IntType, IntType m, unsigned int s, unsigned int r, IntType val>
+const IntType subtract_with_carry<IntType, m, s, r, val>::min_value;
+template<class IntType, IntType m, unsigned int s, unsigned int r, IntType val>
+const IntType subtract_with_carry<IntType, m, s, r, val>::max_value;
+template<class IntType, IntType m, unsigned int s, unsigned int r, IntType val>
+const IntType subtract_with_carry<IntType, m, s, r, val>::modulus;
+template<class IntType, IntType m, unsigned int s, unsigned int r, IntType val>
+const unsigned int subtract_with_carry<IntType, m, s, r, val>::long_lag;
+template<class IntType, IntType m, unsigned int s, unsigned int r, IntType val>
+const unsigned int subtract_with_carry<IntType, m, s, r, val>::short_lag;
+#endif
+
+
+// use a floating-point representation to produce values in [0..1)
+/** @copydoc boost::random::subtract_with_carry */
+template<class RealType, int w, unsigned int s, unsigned int r, int val=0>
+class subtract_with_carry_01
+{
+public:
+  typedef RealType result_type;
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+  BOOST_STATIC_CONSTANT(int, word_size = w);
+  BOOST_STATIC_CONSTANT(unsigned int, long_lag = r);
+  BOOST_STATIC_CONSTANT(unsigned int, short_lag = s);
+
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+  BOOST_STATIC_ASSERT(!std::numeric_limits<result_type>::is_integer);
+#endif
+
+  subtract_with_carry_01() { init_modulus(); seed(); }
+  explicit subtract_with_carry_01(uint32_t value)
+  { init_modulus(); seed(value);   }
+  template<class It> subtract_with_carry_01(It& first, It last)
+  { init_modulus(); seed(first,last); }
+
+private:
+  /// \cond hide_private_members
+  void init_modulus()
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::pow;
+#endif
+    _modulus = pow(RealType(2), word_size);
+  }
+  /// \endcond hide_private_members
+
+public:
+  // compiler-generated copy ctor and assignment operator are fine
+
+  void seed(uint32_t value = 19780503u)
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::fmod;
+#endif
+    random::linear_congruential<int32_t, 40014, 0, 2147483563, 0> gen(value);
+    unsigned long array[(w+31)/32 * long_lag];
+    for(unsigned int j = 0; j < sizeof(array)/sizeof(unsigned long); ++j)
+      array[j] = gen();
+    unsigned long * start = array;
+    seed(start, array + sizeof(array)/sizeof(unsigned long));
+  }
+
+  template<class It>
+  void seed(It& first, It last)
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::fmod;
+    using std::pow;
+#endif
+    unsigned long mask = ~((~0u) << (w%32));   // now lowest (w%32) bits set
+    RealType two32 = pow(RealType(2), 32);
+    unsigned int j;
+    for(j = 0; j < long_lag && first != last; ++j) {
+      x[j] = RealType(0);
+      for(int i = 0; i < w/32 && first != last; ++i, ++first)
+        x[j] += *first / pow(two32,i+1);
+      if(first != last && mask != 0) {
+        x[j] += fmod((*first & mask) / _modulus, RealType(1));
+        ++first;
+      }
+    }
+    if(first == last && j < long_lag)
+      throw std::invalid_argument("subtract_with_carry_01::seed");
+    carry = (x[long_lag-1] ? 0 : 1 / _modulus);
+    k = 0;
+  }
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return result_type(0); }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return result_type(1); }
+
+  result_type operator()()
+  {
+    int short_index = k - short_lag;
+    if(short_index < 0)
+      short_index += long_lag;
+    RealType delta = x[short_index] - x[k] - carry;
+    if(delta < 0) {
+      delta += RealType(1);
+      carry = RealType(1)/_modulus;
+    } else {
+      carry = 0;
+    }
+    x[k] = delta;
+    ++k;
+    if(k >= long_lag)
+      k = 0;
+    return delta;
+  }
+
+  static bool validation(result_type x)
+  { return x == val/pow(RealType(2), word_size); }
+  
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os,
+             const subtract_with_carry_01& f)
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    // allow for Koenig lookup
+    using std::pow;
+#endif
+    std::ios_base::fmtflags oldflags = os.flags(os.dec | os.fixed | os.left); 
+    for(unsigned int j = 0; j < f.long_lag; ++j)
+      os << (f.compute(j) * f._modulus) << " ";
+    os << (f.carry * f._modulus);
+    os.flags(oldflags);
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, subtract_with_carry_01& f)
+  {
+# ifdef BOOST_RANDOM_EXTRACT_SWC_01
+      detail::extract_subtract_with_carry_01(is, f, f.carry, f.x, f._modulus);
+# else
+    // MSVC (up to 7.1) and Borland (up to 5.64) don't handle the template type
+    // parameter "RealType" available from the class template scope, so use
+    // the member typedef
+    typename subtract_with_carry_01::result_type value;
+    for(unsigned int j = 0; j < long_lag; ++j) {
+      is >> value >> std::ws;
+      f.x[j] = value / f._modulus;
+    }
+    is >> value >> std::ws;
+    f.carry = value / f._modulus;
+# endif 
+    f.k = 0;
+    return is;
+  }
+#endif
+
+  friend bool operator==(const subtract_with_carry_01& x,
+                         const subtract_with_carry_01& y)
+  {
+    for(unsigned int j = 0; j < r; ++j)
+      if(x.compute(j) != y.compute(j))
+        return false;
+    return true;
+  }
+
+  friend bool operator!=(const subtract_with_carry_01& x,
+                         const subtract_with_carry_01& y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const subtract_with_carry_01& rhs) const
+  { 
+    for(unsigned int j = 0; j < r; ++j)
+      if(compute(j) != rhs.compute(j))
+        return false;
+    return true;
+  }
+
+  bool operator!=(const subtract_with_carry_01& rhs) const
+  { return !(*this == rhs); }
+#endif
+
+private:
+  /// \cond hide_private_members
+  RealType compute(unsigned int index) const;
+  /// \endcond
+  unsigned int k;
+  RealType carry;
+  RealType x[long_lag];
+  RealType _modulus;
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class RealType, int w, unsigned int s, unsigned int r, int val>
+const bool subtract_with_carry_01<RealType, w, s, r, val>::has_fixed_range;
+template<class RealType, int w, unsigned int s, unsigned int r, int val>
+const int subtract_with_carry_01<RealType, w, s, r, val>::word_size;
+template<class RealType, int w, unsigned int s, unsigned int r, int val>
+const unsigned int subtract_with_carry_01<RealType, w, s, r, val>::long_lag;
+template<class RealType, int w, unsigned int s, unsigned int r, int val>
+const unsigned int subtract_with_carry_01<RealType, w, s, r, val>::short_lag;
+#endif
+
+/// \cond hide_private_members
+template<class RealType, int w, unsigned int s, unsigned int r, int val>
+RealType subtract_with_carry_01<RealType, w, s, r, val>::compute(unsigned int index) const
+{
+  return x[(k+index) % long_lag];
+}
+/// \endcond
+
+} // namespace random
+} // namespace boost
+
+#endif // BOOST_RANDOM_SUBTRACT_WITH_CARRY_HPP

Boost/boost/random/triangle_distribution.hpp

@@ -0,0 +1,118 @@
+/* boost random/triangle_distribution.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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: triangle_distribution.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_TRIANGLE_DISTRIBUTION_HPP
+#define BOOST_RANDOM_TRIANGLE_DISTRIBUTION_HPP
+
+#include <boost/config/no_tr1/cmath.hpp>
+#include <cassert>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/uniform_01.hpp>
+
+namespace boost {
+
+/**
+ * Instantiations of @c triangle_distribution model a \random_distribution.
+ * A @c triangle_distribution has three parameters, @c a, @c b, and @c c,
+ * which are the smallest, the most probable and the largest values of
+ * the distribution respectively.
+ */
+template<class RealType = double>
+class triangle_distribution
+{
+public:
+  typedef RealType input_type;
+  typedef RealType result_type;
+
+  /**
+   * Constructs a @c triangle_distribution with the parameters
+   * @c a, @c b, and @c c.
+   *
+   * Preconditions: a <= b <= c.
+   */
+  explicit triangle_distribution(result_type a_arg = result_type(0),
+                                 result_type b_arg = result_type(0.5),
+                                 result_type c_arg = result_type(1))
+    : _a(a_arg), _b(b_arg), _c(c_arg)
+  {
+    assert(_a <= _b && _b <= _c);
+    init();
+  }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  /** Returns the @c a parameter of the distribution */
+  result_type a() const { return _a; }
+  /** Returns the @c b parameter of the distribution */
+  result_type b() const { return _b; }
+  /** Returns the @c c parameter of the distribution */
+  result_type c() const { return _c; }
+
+  void reset() { }
+
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    using std::sqrt;
+#endif
+    result_type u = eng();
+    if( u <= q1 )
+      return _a + p1*sqrt(u);
+    else
+      return _c - d3*sqrt(d2*u-d1);
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const triangle_distribution& td)
+  {
+    os << td._a << " " << td._b << " " << td._c;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, triangle_distribution& td)
+  {
+    is >> std::ws >> td._a >> std::ws >> td._b >> std::ws >> td._c;
+    td.init();
+    return is;
+  }
+#endif
+
+private:
+  /// \cond hide_private_members
+  void init()
+  {
+#ifndef BOOST_NO_STDC_NAMESPACE
+    using std::sqrt;
+#endif
+    d1 = _b - _a;
+    d2 = _c - _a;
+    d3 = sqrt(_c - _b);
+    q1 = d1 / d2;
+    p1 = sqrt(d1 * d2);
+  }
+  /// \endcond
+
+  result_type _a, _b, _c;
+  result_type d1, d2, d3, q1, p1;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_TRIANGLE_DISTRIBUTION_HPP

Boost/boost/random/uniform_01.hpp

@@ -0,0 +1,273 @@
+/* boost random/uniform_01.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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_01.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_UNIFORM_01_HPP
+#define BOOST_RANDOM_UNIFORM_01_HPP
+
+#include <iostream>
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/detail/pass_through_engine.hpp>
+
+#include <boost/random/detail/disable_warnings.hpp>
+
+namespace boost {
+
+#ifdef BOOST_RANDOM_DOXYGEN
+
+/**
+ * The distribution function uniform_01 models a \random_distribution.
+ * On each invocation, it returns a random floating-point value
+ * uniformly distributed in the range [0..1).
+ *
+ * The template parameter RealType shall denote a float-like value type
+ * with support for binary operators +, -, and /.
+ *
+ * Note: The current implementation is buggy, because it may not fill
+ * all of the mantissa with random bits. I'm unsure how to fill a
+ * (to-be-invented) @c boost::bigfloat class with random bits efficiently.
+ * It's probably time for a traits class.
+ */
+template<class RealType = double>
+class uniform_01
+{
+public:
+  typedef RealType input_type;
+  typedef RealType result_type;
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const;
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const;
+  void reset();
+
+  template<class Engine>
+  result_type operator()(Engine& eng);
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const new_uniform_01&)
+  {
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, new_uniform_01&)
+  {
+    return is;
+  }
+#endif
+};
+
+#else
+
+namespace detail {
+
+template<class RealType>
+class new_uniform_01
+{
+public:
+  typedef RealType input_type;
+  typedef RealType result_type;
+  // compiler-generated copy ctor and copy assignment are fine
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return result_type(0); }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return result_type(1); }
+  void reset() { }
+
+  template<class Engine>
+  result_type operator()(Engine& eng) {
+    for (;;) {
+      typedef typename Engine::result_type base_result;
+      result_type factor = result_type(1) /
+              (result_type((eng.max)()-(eng.min)()) +
+               result_type(std::numeric_limits<base_result>::is_integer ? 1 : 0));
+      result_type result = result_type(eng() - (eng.min)()) * factor;
+      if (result < result_type(1))
+        return result;
+    }
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const new_uniform_01&)
+  {
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, new_uniform_01&)
+  {
+    return is;
+  }
+#endif
+};
+
+template<class UniformRandomNumberGenerator, class RealType>
+class backward_compatible_uniform_01
+{
+  typedef boost::random::detail::ptr_helper<UniformRandomNumberGenerator> traits;
+  typedef boost::random::detail::pass_through_engine<UniformRandomNumberGenerator> internal_engine_type;
+public:
+  typedef UniformRandomNumberGenerator base_type;
+  typedef RealType result_type;
+
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+
+#if !defined(BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS) && !(defined(BOOST_MSVC) && BOOST_MSVC <= 1300)
+  BOOST_STATIC_ASSERT(!std::numeric_limits<RealType>::is_integer);
+#endif
+
+  explicit backward_compatible_uniform_01(typename traits::rvalue_type rng)
+    : _rng(rng),
+      _factor(result_type(1) /
+              (result_type((_rng.max)()-(_rng.min)()) +
+               result_type(std::numeric_limits<base_result>::is_integer ? 1 : 0)))
+  {
+  }
+  // compiler-generated copy ctor and copy assignment are fine
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return result_type(0); }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return result_type(1); }
+  typename traits::value_type& base() { return _rng.base(); }
+  const typename traits::value_type& base() const { return _rng.base(); }
+  void reset() { }
+
+  result_type operator()() {
+    for (;;) {
+      result_type result = result_type(_rng() - (_rng.min)()) * _factor;
+      if (result < result_type(1))
+        return result;
+    }
+  }
+
+#if !defined(BOOST_NO_OPERATORS_IN_NAMESPACE) && !defined(BOOST_NO_MEMBER_TEMPLATE_FRIENDS)
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const backward_compatible_uniform_01& u)
+  {
+    os << u._rng;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, backward_compatible_uniform_01& u)
+  {
+    is >> u._rng;
+    return is;
+  }
+#endif
+
+private:
+  typedef typename internal_engine_type::result_type base_result;
+  internal_engine_type _rng;
+  result_type _factor;
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class UniformRandomNumberGenerator, class RealType>
+const bool backward_compatible_uniform_01<UniformRandomNumberGenerator, RealType>::has_fixed_range;
+#endif
+
+template<class UniformRandomNumberGenerator>
+struct select_uniform_01
+{
+  template<class RealType>
+  struct apply
+  {
+    typedef backward_compatible_uniform_01<UniformRandomNumberGenerator, RealType> type;
+  };
+};
+
+template<>
+struct select_uniform_01<float>
+{
+  template<class RealType>
+  struct apply
+  {
+    typedef new_uniform_01<float> type;
+  };
+};
+
+template<>
+struct select_uniform_01<double>
+{
+  template<class RealType>
+  struct apply
+  {
+    typedef new_uniform_01<double> type;
+  };
+};
+
+template<>
+struct select_uniform_01<long double>
+{
+  template<class RealType>
+  struct apply
+  {
+    typedef new_uniform_01<long double> type;
+  };
+};
+
+}
+
+// Because it is so commonly used: uniform distribution on the real [0..1)
+// range.  This allows for specializations to avoid a costly int -> float
+// conversion plus float multiplication
+template<class UniformRandomNumberGenerator = double, class RealType = double>
+class uniform_01
+  : public detail::select_uniform_01<UniformRandomNumberGenerator>::BOOST_NESTED_TEMPLATE apply<RealType>::type
+{
+  typedef typename detail::select_uniform_01<UniformRandomNumberGenerator>::BOOST_NESTED_TEMPLATE apply<RealType>::type impl_type;
+  typedef boost::random::detail::ptr_helper<UniformRandomNumberGenerator> traits;
+public:
+
+  uniform_01() {}
+
+  explicit uniform_01(typename traits::rvalue_type rng)
+    : impl_type(rng)
+  {
+  }
+
+#if !defined(BOOST_NO_OPERATORS_IN_NAMESPACE) && !defined(BOOST_NO_MEMBER_TEMPLATE_FRIENDS)
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const uniform_01& u)
+  {
+    os << static_cast<const impl_type&>(u);
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, uniform_01& u)
+  {
+    is >> static_cast<impl_type&>(u);
+    return is;
+  }
+#endif
+};
+
+#endif
+
+} // namespace boost
+
+#include <boost/random/detail/enable_warnings.hpp>
+
+#endif // BOOST_RANDOM_UNIFORM_01_HPP

Boost/boost/random/uniform_int.hpp

@@ -0,0 +1,300 @@
+/* boost random/uniform_int.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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_int.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-04-08  added min<max assertion (N. Becker)
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_UNIFORM_INT_HPP
+#define BOOST_RANDOM_UNIFORM_INT_HPP
+
+#include <cassert>
+#include <iostream>
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/detail/workaround.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/detail/signed_unsigned_tools.hpp>
+#include <boost/type_traits/make_unsigned.hpp>
+
+namespace boost {
+
+/**
+ * The distribution function uniform_int models a \random_distribution.
+ * On each invocation, it returns a random integer value uniformly
+ * distributed in the set of integer numbers {min, min+1, min+2, ..., max}.
+ *
+ * The template parameter IntType shall denote an integer-like value type.
+ */
+template<class IntType = int>
+class uniform_int
+{
+public:
+  typedef IntType input_type;
+  typedef IntType result_type;
+
+  /// \cond hide_private_members
+  typedef typename make_unsigned<result_type>::type range_type;
+  /// \endcond
+
+  /**
+   * Constructs a uniform_int object. @c min and @c max are
+   * the parameters of the distribution.
+   *
+   * Requires: min <= max
+   */
+  explicit uniform_int(IntType min_arg = 0, IntType max_arg = 9)
+    : _min(min_arg), _max(max_arg)
+  {
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    // MSVC fails BOOST_STATIC_ASSERT with std::numeric_limits at class scope
+    BOOST_STATIC_ASSERT(std::numeric_limits<IntType>::is_integer);
+#endif
+    assert(min_arg <= max_arg);
+    init();
+  }
+
+  /**
+   * Returns: The "min" parameter of the distribution
+   */
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _min; }
+  /**
+   * Returns: The "max" parameter of the distribution
+   */
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _max; }
+  void reset() { }
+  
+  // can't have member function templates out-of-line due to MSVC bugs
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+      return generate(eng, _min, _max, _range);
+  }
+
+  template<class Engine>
+  result_type operator()(Engine& eng, result_type n)
+  {
+      assert(n > 0);
+
+      if (n == 1)
+      {
+        return 0;
+      }
+
+      return generate(eng, 0, n - 1, n - 1);
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const uniform_int& ud)
+  {
+    os << ud._min << " " << ud._max;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, uniform_int& ud)
+  {
+    is >> std::ws >> ud._min >> std::ws >> ud._max;
+    ud.init();
+    return is;
+  }
+#endif
+
+private:
+
+#ifdef BOOST_MSVC
+#pragma warning(push)
+// disable division by zero warning, since we can't
+// actually divide by zero.
+#pragma warning(disable:4723)
+#endif
+
+  /// \cond hide_private_members
+  template<class Engine>
+  static result_type generate(Engine& eng, result_type min_value, result_type /*max_value*/, range_type range)
+  {
+    typedef typename Engine::result_type base_result;
+    // ranges are always unsigned
+    typedef typename make_unsigned<base_result>::type base_unsigned;
+    const base_result bmin = (eng.min)();
+    const base_unsigned brange =
+      random::detail::subtract<base_result>()((eng.max)(), (eng.min)());
+
+    if(range == 0) {
+      return min_value;    
+    } else if(brange == range) {
+      // this will probably never happen in real life
+      // basically nothing to do; just take care we don't overflow / underflow
+      base_unsigned v = random::detail::subtract<base_result>()(eng(), bmin);
+      return random::detail::add<base_unsigned, result_type>()(v, min_value);
+    } else if(brange < range) {
+      // use rejection method to handle things like 0..3 --> 0..4
+      for(;;) {
+        // concatenate several invocations of the base RNG
+        // take extra care to avoid overflows
+
+        //  limit == floor((range+1)/(brange+1))
+        //  Therefore limit*(brange+1) <= range+1
+        range_type limit;
+        if(range == (std::numeric_limits<range_type>::max)()) {
+          limit = range/(range_type(brange)+1);
+          if(range % (range_type(brange)+1) == range_type(brange))
+            ++limit;
+        } else {
+          limit = (range+1)/(range_type(brange)+1);
+        }
+
+        // We consider "result" as expressed to base (brange+1):
+        // For every power of (brange+1), we determine a random factor
+        range_type result = range_type(0);
+        range_type mult = range_type(1);
+
+        // loop invariants:
+        //  result < mult
+        //  mult <= range
+        while(mult <= limit) {
+          // Postcondition: result <= range, thus no overflow
+          //
+          // limit*(brange+1)<=range+1                   def. of limit       (1)
+          // eng()-bmin<=brange                          eng() post.         (2)
+          // and mult<=limit.                            loop condition      (3)
+          // Therefore mult*(eng()-bmin+1)<=range+1      by (1),(2),(3)      (4)
+          // Therefore mult*(eng()-bmin)+mult<=range+1   rearranging (4)     (5)
+          // result<mult                                 loop invariant      (6)
+          // Therefore result+mult*(eng()-bmin)<range+1  by (5), (6)         (7)
+          //
+          // Postcondition: result < mult*(brange+1)
+          //
+          // result<mult                                 loop invariant      (1)
+          // eng()-bmin<=brange                          eng() post.         (2)
+          // Therefore result+mult*(eng()-bmin) <
+          //           mult+mult*(eng()-bmin)            by (1)              (3)
+          // Therefore result+(eng()-bmin)*mult <
+          //           mult+mult*brange                  by (2), (3)         (4)
+          // Therefore result+(eng()-bmin)*mult <
+          //           mult*(brange+1)                   by (4)
+          result += static_cast<range_type>(random::detail::subtract<base_result>()(eng(), bmin) * mult);
+
+          // equivalent to (mult * (brange+1)) == range+1, but avoids overflow.
+          if(mult * range_type(brange) == range - mult + 1) {
+              // The destination range is an integer power of
+              // the generator's range.
+              return(result);
+          }
+
+          // Postcondition: mult <= range
+          // 
+          // limit*(brange+1)<=range+1                   def. of limit       (1)
+          // mult<=limit                                 loop condition      (2)
+          // Therefore mult*(brange+1)<=range+1          by (1), (2)         (3)
+          // mult*(brange+1)!=range+1                    preceding if        (4)
+          // Therefore mult*(brange+1)<range+1           by (3), (4)         (5)
+          // 
+          // Postcondition: result < mult
+          //
+          // See the second postcondition on the change to result. 
+          mult *= range_type(brange)+range_type(1);
+        }
+        // loop postcondition: range/mult < brange+1
+        //
+        // mult > limit                                  loop condition      (1)
+        // Suppose range/mult >= brange+1                Assumption          (2)
+        // range >= mult*(brange+1)                      by (2)              (3)
+        // range+1 > mult*(brange+1)                     by (3)              (4)
+        // range+1 > (limit+1)*(brange+1)                by (1), (4)         (5)
+        // (range+1)/(brange+1) > limit+1                by (5)              (6)
+        // limit < floor((range+1)/(brange+1))           by (6)              (7)
+        // limit==floor((range+1)/(brange+1))            def. of limit       (8)
+        // not (2)                                       reductio            (9)
+        //
+        // loop postcondition: (range/mult)*mult+(mult-1) >= range
+        //
+        // (range/mult)*mult + range%mult == range       identity            (1)
+        // range%mult < mult                             def. of %           (2)
+        // (range/mult)*mult+mult > range                by (1), (2)         (3)
+        // (range/mult)*mult+(mult-1) >= range           by (3)              (4)
+        //
+        // Note that the maximum value of result at this point is (mult-1),
+        // so after this final step, we generate numbers that can be
+        // at least as large as range.  We have to really careful to avoid
+        // overflow in this final addition and in the rejection.  Anything
+        // that overflows is larger than range and can thus be rejected.
+
+        // range/mult < brange+1  -> no endless loop
+        range_type result_increment = uniform_int<range_type>(0, range/mult)(eng);
+        if((std::numeric_limits<range_type>::max)() / mult < result_increment) {
+          // The multiplcation would overflow.  Reject immediately.
+          continue;
+        }
+        result_increment *= mult;
+        // unsigned integers are guaranteed to wrap on overflow.
+        result += result_increment;
+        if(result < result_increment) {
+          // The addition overflowed.  Reject.
+          continue;
+        }
+        if(result > range) {
+          // Too big.  Reject.
+          continue;
+        }
+        return random::detail::add<range_type, result_type>()(result, min_value);
+      }
+    } else {                   // brange > range
+      base_unsigned bucket_size;
+      // it's safe to add 1 to range, as long as we cast it first,
+      // because we know that it is less than brange.  However,
+      // we do need to be careful not to cause overflow by adding 1
+      // to brange.
+      if(brange == (std::numeric_limits<base_unsigned>::max)()) {
+        bucket_size = brange / (static_cast<base_unsigned>(range)+1);
+        if(brange % (static_cast<base_unsigned>(range)+1) == static_cast<base_unsigned>(range)) {
+          ++bucket_size;
+        }
+      } else {
+        bucket_size = (brange+1) / (static_cast<base_unsigned>(range)+1);
+      }
+      for(;;) {
+        base_unsigned result =
+          random::detail::subtract<base_result>()(eng(), bmin);
+        result /= bucket_size;
+        // result and range are non-negative, and result is possibly larger
+        // than range, so the cast is safe
+        if(result <= static_cast<base_unsigned>(range))
+          return random::detail::add<base_unsigned, result_type>()(result, min_value);
+      }
+    }
+  }
+
+#ifdef BOOST_MSVC
+#pragma warning(pop)
+#endif
+
+  void init()
+  {
+    _range = random::detail::subtract<result_type>()(_max, _min);
+  }
+
+  /// \endcond
+
+  // The result_type may be signed or unsigned, but the _range is always
+  // unsigned.
+  result_type _min, _max;
+  range_type _range;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_UNIFORM_INT_HPP

Boost/boost/random/uniform_on_sphere.hpp

@@ -0,0 +1,101 @@
+/* boost random/uniform_on_sphere.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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_on_sphere.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_UNIFORM_ON_SPHERE_HPP
+#define BOOST_RANDOM_UNIFORM_ON_SPHERE_HPP
+
+#include <vector>
+#include <algorithm>     // std::transform
+#include <functional>    // std::bind2nd, std::divides
+#include <boost/random/detail/config.hpp>
+#include <boost/random/normal_distribution.hpp>
+
+namespace boost {
+
+/**
+ * Instantiations of class template uniform_on_sphere model a
+ * \random_distribution. Such a distribution produces random
+ * numbers uniformly distributed on the unit sphere of arbitrary
+ * dimension @c dim. The @c Cont template parameter must be a STL-like
+ * container type with begin and end operations returning non-const
+ * ForwardIterators of type @c Cont::iterator. Each invocation of the
+ * @c UniformRandomNumberGenerator shall result in a floating-point
+ * value in the range [0,1). 
+ */
+template<class RealType = double, class Cont = std::vector<RealType> >
+class uniform_on_sphere
+{
+public:
+  typedef RealType input_type;
+  typedef Cont result_type;
+
+  /**
+   * Constructs a @c uniform_on_sphere distribution.
+   * @c dim is the dimension of the sphere.
+   */
+  explicit uniform_on_sphere(int dim = 2) : _container(dim), _dim(dim) { }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  void reset() { _normal.reset(); }
+
+  template<class Engine>
+  const result_type & operator()(Engine& eng)
+  {
+    RealType sqsum = 0;
+    for(typename Cont::iterator it = _container.begin();
+        it != _container.end();
+        ++it) {
+      RealType val = _normal(eng);
+      *it = val;
+      sqsum += val * val;
+    }
+#ifndef BOOST_NO_STDC_NAMESPACE
+    using std::sqrt;
+#endif
+    // for all i: result[i] /= sqrt(sqsum)
+    std::transform(_container.begin(), _container.end(), _container.begin(),
+                   std::bind2nd(std::divides<RealType>(), sqrt(sqsum)));
+    return _container;
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const uniform_on_sphere& sd)
+  {
+    os << sd._dim;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, uniform_on_sphere& sd)
+  {
+    is >> std::ws >> sd._dim;
+    sd._container.resize(sd._dim);
+    return is;
+  }
+#endif
+
+private:
+  normal_distribution<RealType> _normal;
+  result_type _container;
+  int _dim;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_UNIFORM_ON_SPHERE_HPP

Boost/boost/random/uniform_real.hpp

@@ -0,0 +1,108 @@
+/* boost random/uniform_real.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-04-08  added min<max assertion (N. Becker)
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_UNIFORM_REAL_HPP
+#define BOOST_RANDOM_UNIFORM_REAL_HPP
+
+#include <cassert>
+#include <iostream>
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+
+namespace boost {
+
+/**
+ * The distribution function uniform_real models a random distribution.
+ * On each invocation, it returns a random floating-point value uniformly
+ * distributed in the range [min..max). The value is computed using
+ * std::numeric_limits<RealType>::digits random binary digits, i.e.
+ * the mantissa of the floating-point value is completely filled with
+ * random bits.
+ *
+ * Note: The current implementation is buggy, because it may not fill
+ * all of the mantissa with random bits.
+ */
+template<class RealType = double>
+class uniform_real
+{
+public:
+  typedef RealType input_type;
+  typedef RealType result_type;
+
+  /**
+   * Constructs a uniform_real object. @c min and @c max are the
+   * parameters of the distribution.
+   *
+   * Requires: min <= max
+   */
+  explicit uniform_real(RealType min_arg = RealType(0),
+                        RealType max_arg = RealType(1))
+    : _min(min_arg), _max(max_arg)
+  {
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    BOOST_STATIC_ASSERT(!std::numeric_limits<RealType>::is_integer);
+#endif
+    assert(min_arg <= max_arg);
+  }
+
+  // compiler-generated copy ctor and assignment operator are fine
+
+  /**
+   * Returns: The "min" parameter of the distribution
+   */
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _min; }
+  /**
+   * Returns: The "max" parameter of the distribution
+   */
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _max; }
+  void reset() { }
+
+  template<class Engine>
+  result_type operator()(Engine& eng) {
+    result_type numerator = static_cast<result_type>(eng() - eng.min BOOST_PREVENT_MACRO_SUBSTITUTION());
+    result_type divisor = static_cast<result_type>(eng.max BOOST_PREVENT_MACRO_SUBSTITUTION() - eng.min BOOST_PREVENT_MACRO_SUBSTITUTION());
+    assert(divisor > 0);
+    assert(numerator >= 0 && numerator <= divisor);
+    return numerator / divisor * (_max - _min) + _min;
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const uniform_real& ud)
+  {
+    os << ud._min << " " << ud._max;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, uniform_real& ud)
+  {
+    is >> std::ws >> ud._min >> std::ws >> ud._max;
+    return is;
+  }
+#endif
+
+private:
+  RealType _min, _max;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_UNIFORM_REAL_HPP

Boost/boost/random/uniform_smallint.hpp

@@ -0,0 +1,158 @@
+/* boost random/uniform_smallint.hpp header file
+ *
+ * Copyright Jens Maurer 2000-2001
+ * 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_smallint.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ * Revision history
+ *  2001-04-08  added min<max assertion (N. Becker)
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_UNIFORM_SMALLINT_HPP
+#define BOOST_RANDOM_UNIFORM_SMALLINT_HPP
+
+#include <cassert>
+#include <iostream>
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/random/detail/config.hpp>
+#include <boost/random/uniform_01.hpp>
+#include <boost/detail/workaround.hpp>
+
+namespace boost {
+
+// uniform integer distribution on a small range [min, max]
+
+/**
+ * The distribution function uniform_smallint models a \random_distribution.
+ * On each invocation, it returns a random integer value uniformly distributed
+ * in the set of integer numbers {min, min+1, min+2, ..., max}. It assumes
+ * that the desired range (max-min+1) is small compared to the range of the
+ * underlying source of random numbers and thus makes no attempt to limit
+ * quantization errors.
+ *
+ * Let r<sub>out</sub>=(max-min+1) the desired range of integer numbers, and
+ * let r<sub>base</sub> be the range of the underlying source of random
+ * numbers. Then, for the uniform distribution, the theoretical probability
+ * for any number i in the range r<sub>out</sub> will be p<sub>out</sub>(i) =
+ * 1/r<sub>out</sub>. Likewise, assume a uniform distribution on r<sub>base</sub> for
+ * the underlying source of random numbers, i.e. p<sub>base</sub>(i) =
+ * 1/r<sub>base</sub>. Let p<sub>out_s</sub>(i) denote the random
+ * distribution generated by @c uniform_smallint. Then the sum over all
+ * i in r<sub>out</sub> of (p<sub>out_s</sub>(i)/p<sub>out</sub>(i) - 1)<sup>2</sup>
+ * shall not exceed r<sub>out</sub>/r<sub>base</sub><sup>2</sup>
+ * (r<sub>base</sub> mod r<sub>out</sub>)(r<sub>out</sub> -
+ * r<sub>base</sub> mod r<sub>out</sub>).
+ *
+ * The template parameter IntType shall denote an integer-like value type.
+ *
+ * Note: The property above is the square sum of the relative differences
+ * in probabilities between the desired uniform distribution
+ * p<sub>out</sub>(i) and the generated distribution p<sub>out_s</sub>(i).
+ * The property can be fulfilled with the calculation
+ * (base_rng mod r<sub>out</sub>), as follows: Let r = r<sub>base</sub> mod
+ * r<sub>out</sub>. The base distribution on r<sub>base</sub> is folded onto the
+ * range r<sub>out</sub>. The numbers i < r have assigned (r<sub>base</sub>
+ * div r<sub>out</sub>)+1 numbers of the base distribution, the rest has
+ * only (r<sub>base</sub> div r<sub>out</sub>). Therefore,
+ * p<sub>out_s</sub>(i) = ((r<sub>base</sub> div r<sub>out</sub>)+1) /
+ * r<sub>base</sub> for i < r and p<sub>out_s</sub>(i) = (r<sub>base</sub>
+ * div r<sub>out</sub>)/r<sub>base</sub> otherwise. Substituting this in the
+ * above sum formula leads to the desired result.
+ *
+ * Note: The upper bound for (r<sub>base</sub> mod r<sub>out</sub>)
+ * (r<sub>out</sub> - r<sub>base</sub> mod r<sub>out</sub>) is
+ * r<sub>out</sub><sup>2</sup>/4.  Regarding the upper bound for the
+ * square sum of the relative quantization error of
+ * r<sub>out</sub><sup>3</sup>/(4*r<sub>base</sub><sup>2</sup>), it
+ * seems wise to either choose r<sub>base</sub> so that r<sub>base</sub> >
+ * 10*r<sub>out</sub><sup>2</sup> or ensure that r<sub>base</sub> is
+ * divisible by r<sub>out</sub>.
+ */
+template<class IntType = int>
+class uniform_smallint
+{
+public:
+  typedef IntType input_type;
+  typedef IntType result_type;
+
+  /**
+   * Constructs a @c uniform_smallint. @c min and @c max are the
+   * lower and upper bounds of the output range, respectively.
+   */
+  explicit uniform_smallint(IntType min_arg = 0, IntType max_arg = 9)
+    : _min(min_arg), _max(max_arg)
+  {
+#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
+    // MSVC fails BOOST_STATIC_ASSERT with std::numeric_limits at class scope
+    BOOST_STATIC_ASSERT(std::numeric_limits<IntType>::is_integer);
+#endif
+ }
+
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _min; }
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _max; }
+  void reset() { }
+
+  template<class Engine>
+  result_type operator()(Engine& eng)
+  {
+    typedef typename Engine::result_type base_result;
+    base_result _range = static_cast<base_result>(_max-_min)+1;
+    base_result _factor = 1;
+    
+    // LCGs get bad when only taking the low bits.
+    // (probably put this logic into a partial template specialization)
+    // Check how many low bits we can ignore before we get too much
+    // quantization error.
+    base_result r_base = (eng.max)() - (eng.min)();
+    if(r_base == (std::numeric_limits<base_result>::max)()) {
+      _factor = 2;
+      r_base /= 2;
+    }
+    r_base += 1;
+    if(r_base % _range == 0) {
+      // No quantization effects, good
+      _factor = r_base / _range;
+    } else {
+      // carefully avoid overflow; pessimizing here
+      for( ; r_base/_range/32 >= _range; _factor *= 2)
+        r_base /= 2;
+    }
+
+    return static_cast<result_type>(((eng() - (eng.min)()) / _factor) % _range + _min);
+  }
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const uniform_smallint& ud)
+  {
+    os << ud._min << " " << ud._max;
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, uniform_smallint& ud)
+  {
+    is >> std::ws >> ud._min >> std::ws >> ud._max;
+    return is;
+  }
+#endif
+
+private:
+
+  result_type _min;
+  result_type _max;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_UNIFORM_SMALLINT_HPP

Boost/boost/random/variate_generator.hpp

@@ -0,0 +1,220 @@
+/* boost random/variate_generator.hpp header file
+ *
+ * Copyright Jens Maurer 2002
+ * 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: variate_generator.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ */
+
+#ifndef BOOST_RANDOM_RANDOM_GENERATOR_HPP
+#define BOOST_RANDOM_RANDOM_GENERATOR_HPP
+
+#include <boost/config.hpp>
+
+// implementation details
+#include <boost/detail/workaround.hpp>
+#include <boost/random/uniform_01.hpp>
+#include <boost/random/detail/pass_through_engine.hpp>
+#include <boost/random/detail/uniform_int_float.hpp>
+#include <boost/random/detail/ptr_helper.hpp>
+
+// Borland C++ 5.6.0 has problems using its numeric_limits traits as
+// template parameters
+#if BOOST_WORKAROUND(__BORLANDC__, <= 0x564)
+#include <boost/type_traits/is_integral.hpp>
+#endif
+
+#include <boost/random/detail/disable_warnings.hpp>
+
+namespace boost {
+
+/// \cond hide_private_members
+
+namespace random {
+namespace detail {
+
+template<bool have_int, bool want_int>
+struct engine_helper;
+
+// for consistency, always have two levels of decorations
+template<>
+struct engine_helper<true, true>
+{
+  template<class Engine, class DistInputType>
+  struct impl
+  {
+    typedef pass_through_engine<Engine> type;
+  };
+};
+
+template<>
+struct engine_helper<false, false>
+{
+  template<class Engine, class DistInputType>
+  struct impl
+  {
+    typedef uniform_01<Engine, DistInputType> type;
+  };
+};
+
+template<>
+struct engine_helper<true, false>
+{
+  template<class Engine, class DistInputType>
+  struct impl
+  {
+    typedef uniform_01<Engine, DistInputType> type;
+  };
+};
+
+template<>
+struct engine_helper<false, true>
+{
+  template<class Engine, class DistInputType>
+  struct impl
+  {
+    typedef uniform_int_float<Engine, unsigned long> type;
+  };
+};
+
+} // namespace detail
+} // namespace random
+
+///\endcond
+
+/**
+ * A random variate generator is used to join a random number
+ * generator together with a random number distribution.
+ * Boost.Random provides a vast choice of \generators as well
+ * as \distributions.
+ *
+ * Instantations of class template @c variate_generator model
+ * a \number_generator.
+ *
+ * The argument for the template parameter Engine shall be of
+ * the form U, U&, or U*, where U models a
+ * \uniform_random_number_generator.  Then, the member
+ * engine_value_type names U (not the pointer or reference to U).
+ *
+ * Specializations of @c variate_generator satisfy the
+ * requirements of CopyConstructible. They also satisfy the
+ * requirements of Assignable unless the template parameter
+ * Engine is of the form U&.
+ *
+ * The complexity of all functions specified in this section
+ * is constant. No function described in this section except
+ * the constructor throws an exception.
+ */
+template<class Engine, class Distribution>
+class variate_generator
+{
+private:
+  typedef random::detail::pass_through_engine<Engine> decorated_engine;
+
+public:
+  typedef typename decorated_engine::base_type engine_value_type;
+  typedef Engine engine_type;
+  typedef Distribution distribution_type;
+  typedef typename Distribution::result_type result_type;
+
+  /**
+   * Constructs a @c variate_generator object with the associated
+   * \uniform_random_number_generator eng and the associated
+   * \random_distribution d.
+   *
+   * Throws: If and what the copy constructor of Engine or
+   * Distribution throws.
+   */
+  variate_generator(Engine e, Distribution d)
+    : _eng(decorated_engine(e)), _dist(d) { }
+
+  /**
+   * Returns: distribution()(e)
+   *
+   * Notes: The sequence of numbers produced by the
+   * \uniform_random_number_generator e, s<sub>e</sub>, is
+   * obtained from the sequence of numbers produced by the
+   * associated \uniform_random_number_generator eng, s<sub>eng</sub>,
+   * as follows: Consider the values of @c numeric_limits<T>::is_integer
+   * for @c T both @c Distribution::input_type and
+   * @c engine_value_type::result_type. If the values for both types are
+   * true, then se is identical to s<sub>eng</sub>. Otherwise, if the
+   * values for both types are false, then the numbers in s<sub>eng</sub>
+   * are divided by engine().max()-engine().min() to obtain the numbers
+   * in s<sub>e</sub>. Otherwise, if the value for
+   * @c engine_value_type::result_type is true and the value for
+   * @c Distribution::input_type is false, then the numbers in s<sub>eng</sub>
+   * are divided by engine().max()-engine().min()+1 to obtain the numbers in
+   * s<sub>e</sub>. Otherwise, the mapping from s<sub>eng</sub> to
+   * s<sub>e</sub> is implementation-defined. In all cases, an
+   * implicit conversion from @c engine_value_type::result_type to
+   * @c Distribution::input_type is performed. If such a conversion does
+   * not exist, the program is ill-formed.
+   */
+  result_type operator()() { return _dist(_eng); }
+  /**
+   * Returns: distribution()(e, value).
+   * For the semantics of e, see the description of operator()().
+   */
+  template<class T>
+  result_type operator()(T value) { return _dist(_eng, value); }
+
+  /**
+   * Returns: A reference to the associated uniform random number generator.
+   */
+  engine_value_type& engine() { return _eng.base().base(); }
+  /**
+   * Returns: A reference to the associated uniform random number generator.
+   */
+  const engine_value_type& engine() const { return _eng.base().base(); }
+
+  /**
+   * Returns: A reference to the associated random distribution.
+   */
+  distribution_type& distribution() { return _dist; }
+  /**
+   * Returns: A reference to the associated random distribution.
+   */
+  const distribution_type& distribution() const { return _dist; }
+
+  /**
+   * Precondition: distribution().min() is well-formed
+   *
+   * Returns: distribution().min()
+   */
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (distribution().min)(); }
+  /**
+   * Precondition: distribution().max() is well-formed
+   *
+   * Returns: distribution().max()
+   */
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (distribution().max)(); }
+
+private:
+#if BOOST_WORKAROUND(__BORLANDC__, <= 0x564)
+  typedef typename random::detail::engine_helper<
+    ::boost::is_integral<typename decorated_engine::result_type>::value,
+    ::boost::is_integral<typename Distribution::input_type>::value
+    >::BOOST_NESTED_TEMPLATE impl<decorated_engine, typename Distribution::input_type>::type internal_engine_type;
+#else
+  enum {
+    have_int = std::numeric_limits<typename decorated_engine::result_type>::is_integer,
+    want_int = std::numeric_limits<typename Distribution::input_type>::is_integer
+  };
+  typedef typename random::detail::engine_helper<have_int, want_int>::BOOST_NESTED_TEMPLATE impl<decorated_engine, typename Distribution::input_type>::type internal_engine_type;
+#endif
+
+  internal_engine_type _eng;
+  distribution_type _dist;
+};
+
+} // namespace boost
+
+#include <boost/random/detail/disable_warnings.hpp>
+
+#endif // BOOST_RANDOM_RANDOM_GENERATOR_HPP

Boost/boost/random/xor_combine.hpp

@@ -0,0 +1,184 @@
+/* boost random/xor_combine.hpp header file
+ *
+ * Copyright Jens Maurer 2002
+ * 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: xor_combine.hpp 60755 2010-03-22 00:45:06Z steven_watanabe $
+ *
+ */
+
+#ifndef BOOST_RANDOM_XOR_COMBINE_HPP
+#define BOOST_RANDOM_XOR_COMBINE_HPP
+
+#include <iostream>
+#include <cassert>
+#include <algorithm> // for std::min and std::max
+#include <boost/config.hpp>
+#include <boost/limits.hpp>
+#include <boost/static_assert.hpp>
+#include <boost/cstdint.hpp>     // uint32_t
+#include <boost/random/detail/config.hpp>
+
+
+namespace boost {
+namespace random {
+
+/// \cond hide_private_members
+#ifndef BOOST_NO_DEPENDENT_TYPES_IN_TEMPLATE_VALUE_PARAMETERS
+  #define BOOST_RANDOM_VAL_TYPE typename URNG1::result_type 
+#else
+  #define BOOST_RANDOM_VAL_TYPE uint32_t
+#endif
+/// \endcond
+
+/**
+ * Instantiations of @c xor_combine model a \pseudo_random_number_generator.
+ * To produce its output it invokes each of the base generators, shifts
+ * their results and xors them together.
+ */
+template<class URNG1, int s1, class URNG2, int s2
+#ifndef BOOST_RANDOM_DOXYGEN
+, BOOST_RANDOM_VAL_TYPE val = 0
+#endif
+>
+class xor_combine
+{
+public:
+  typedef URNG1 base1_type;
+  typedef URNG2 base2_type;
+  typedef typename base1_type::result_type result_type;
+
+  BOOST_STATIC_CONSTANT(bool, has_fixed_range = false);
+  BOOST_STATIC_CONSTANT(int, shift1 = s1);
+  BOOST_STATIC_CONSTANT(int, shift2 = s2);
+
+  /**
+   * Constructors a @c xor_combine by default constructing
+   * both base generators.
+   */
+  xor_combine() : _rng1(), _rng2()
+  { }
+  /**
+   * Constructs a @c xor_combine by copying two base generators.
+   */
+  xor_combine(const base1_type & rng1, const base2_type & rng2)
+    : _rng1(rng1), _rng2(rng2) { }
+  /**
+   * Constructs a @c xor_combine, seeding both base generators
+   * with @c v.
+   */
+  xor_combine(const result_type & v)
+    : _rng1(v), _rng2(v) { }
+  /**
+   * Constructs a @c xor_combine, seeding both base generators
+   * with values from the iterator range [first, last) and changes
+   * first to point to the element after the last one used.  If there
+   * are not enough elements in the range to seed both generators,
+   * throws @c std::invalid_argument.
+   */
+  template<class It> xor_combine(It& first, It last)
+    : _rng1(first, last), _rng2( /* advanced by other call */ first, last) { }
+  /**
+   * Calls @c seed() for both base generators.
+   */
+  void seed() { _rng1.seed(); _rng2.seed(); }
+  /**
+   * @c seeds both base generators with @c v.
+   */
+  void seed(const result_type & v) { _rng1.seed(v); _rng2.seed(v); }
+  /**
+   * seeds both base generators with values from the iterator
+   * range [first, last) and changes first to point to the element
+   * after the last one used.  If there are not enough elements in
+   * the range to seed both generators, throws @c std::invalid_argument.
+   */
+  template<class It> void seed(It& first, It last)
+  {
+    _rng1.seed(first, last);
+    _rng2.seed(first, last);
+  }
+
+  /** Returns the first base generator. */
+  const base1_type& base1() { return _rng1; }
+  /** Returns the second base generator. */
+  const base2_type& base2() { return _rng2; }
+
+  /** Returns the next value of the generator. */
+  result_type operator()()
+  {
+    // MSVC fails BOOST_STATIC_ASSERT with std::numeric_limits at class scope
+#if !defined(BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS) && !(defined(BOOST_MSVC) && BOOST_MSVC <= 1300)
+    BOOST_STATIC_ASSERT(std::numeric_limits<typename base1_type::result_type>::is_integer);
+    BOOST_STATIC_ASSERT(std::numeric_limits<typename base2_type::result_type>::is_integer);
+    BOOST_STATIC_ASSERT(std::numeric_limits<typename base1_type::result_type>::digits >= std::numeric_limits<typename base2_type::result_type>::digits);
+#endif
+    return (_rng1() << s1) ^ (_rng2() << s2);
+  }
+
+  /**
+   * Returns the smallest value that the generator can produce.
+   */
+  result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return std::min BOOST_PREVENT_MACRO_SUBSTITUTION((_rng1.min)(), (_rng2.min)()); }
+  /**
+   * Returns the largest value that the generator can produce.
+   */
+  result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return std::max BOOST_PREVENT_MACRO_SUBSTITUTION((_rng1.min)(), (_rng2.max)()); }
+  static bool validation(result_type x) { return val == x; }
+
+#ifndef BOOST_NO_OPERATORS_IN_NAMESPACE
+
+#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
+  template<class CharT, class Traits>
+  friend std::basic_ostream<CharT,Traits>&
+  operator<<(std::basic_ostream<CharT,Traits>& os, const xor_combine& s)
+  {
+    os << s._rng1 << " " << s._rng2 << " ";
+    return os;
+  }
+
+  template<class CharT, class Traits>
+  friend std::basic_istream<CharT,Traits>&
+  operator>>(std::basic_istream<CharT,Traits>& is, xor_combine& s)
+  {
+    is >> s._rng1 >> std::ws >> s._rng2 >> std::ws;
+    return is;
+  }
+#endif
+
+  friend bool operator==(const xor_combine& x, const xor_combine& y)
+  { return x._rng1 == y._rng1 && x._rng2 == y._rng2; }
+  friend bool operator!=(const xor_combine& x, const xor_combine& y)
+  { return !(x == y); }
+#else
+  // Use a member function; Streamable concept not supported.
+  bool operator==(const xor_combine& rhs) const
+  { return _rng1 == rhs._rng1 && _rng2 == rhs._rng2; }
+  bool operator!=(const xor_combine& rhs) const
+  { return !(*this == rhs); }
+#endif
+
+private:
+  base1_type _rng1;
+  base2_type _rng2;
+};
+
+#ifndef BOOST_NO_INCLASS_MEMBER_INITIALIZATION
+//  A definition is required even for integral static constants
+template<class URNG1, int s1, class URNG2, int s2, BOOST_RANDOM_VAL_TYPE val>
+const bool xor_combine<URNG1, s1, URNG2, s2, val>::has_fixed_range;
+template<class URNG1, int s1, class URNG2, int s2, BOOST_RANDOM_VAL_TYPE val>
+const int xor_combine<URNG1, s1, URNG2, s2, val>::shift1;
+template<class URNG1, int s1, class URNG2, int s2, BOOST_RANDOM_VAL_TYPE val>
+const int xor_combine<URNG1, s1, URNG2, s2, val>::shift2;
+#endif
+
+#undef BOOST_RANDOM_VAL_TYPE
+
+} // namespace random
+} // namespace boost
+
+#endif // BOOST_RANDOM_XOR_COMBINE_HPP