diff -r 000000000000 -r e4d67989cc36 ossrv_pub/boost_apis/boost/random/lognormal_distribution.hpp
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/ossrv_pub/boost_apis/boost/random/lognormal_distribution.hpp	Tue Feb 02 02:01:42 2010 +0200
@@ -0,0 +1,114 @@
+/* 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,v 1.16 2004/07/27 03:43:32 dgregor Exp $
+ *
+ * Revision history
+ *  2001-02-18  moved to individual header files
+ */
+
+#ifndef BOOST_RANDOM_LOGNORMAL_DISTRIBUTION_HPP
+#define BOOST_RANDOM_LOGNORMAL_DISTRIBUTION_HPP
+
+#include <cmath>      // std::exp, std::sqrt
+#include <cassert>
+#include <iostream>
+#include <boost/limits.hpp>
+#include <boost/static_assert.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
+
+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
+
+  explicit lognormal_distribution(result_type mean = result_type(1),
+                                  result_type sigma = result_type(1))
+    : _mean(mean), _sigma(sigma)
+  { 
+    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);
+  }
+
+#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 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:
+  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)));
+  }
+
+  RealType _mean, _sigma;
+  RealType _nmean, _nsigma;
+  normal_distribution<result_type> _normal;
+};
+
+} // namespace boost
+
+#endif // BOOST_RANDOM_LOGNORMAL_DISTRIBUTION_HPP