1.1 --- /dev/null	Thu Jan 01 00:00:00 1970 +0000
     1.2 +++ b/epoc32/include/stdapis/boost/random/lognormal_distribution.hpp	Tue Mar 16 16:12:26 2010 +0000
     1.3 @@ -0,0 +1,114 @@
     1.4 +/* boost random/lognormal_distribution.hpp header file
     1.5 + *
     1.6 + * Copyright Jens Maurer 2000-2001
     1.7 + * Distributed under the Boost Software License, Version 1.0. (See
     1.8 + * accompanying file LICENSE_1_0.txt or copy at
     1.9 + * http://www.boost.org/LICENSE_1_0.txt)
    1.10 + *
    1.11 + * See http://www.boost.org for most recent version including documentation.
    1.12 + *
    1.13 + * $Id: lognormal_distribution.hpp,v 1.16 2004/07/27 03:43:32 dgregor Exp $
    1.14 + *
    1.15 + * Revision history
    1.16 + *  2001-02-18  moved to individual header files
    1.17 + */
    1.18 +
    1.19 +#ifndef BOOST_RANDOM_LOGNORMAL_DISTRIBUTION_HPP
    1.20 +#define BOOST_RANDOM_LOGNORMAL_DISTRIBUTION_HPP
    1.21 +
    1.22 +#include <cmath>      // std::exp, std::sqrt
    1.23 +#include <cassert>
    1.24 +#include <iostream>
    1.25 +#include <boost/limits.hpp>
    1.26 +#include <boost/static_assert.hpp>
    1.27 +#include <boost/random/normal_distribution.hpp>
    1.28 +
    1.29 +#ifdef BOOST_NO_STDC_NAMESPACE
    1.30 +namespace std {
    1.31 +  using ::log;
    1.32 +  using ::sqrt;
    1.33 +}
    1.34 +#endif
    1.35 +
    1.36 +namespace boost {
    1.37 +
    1.38 +#if defined(__GNUC__) && (__GNUC__ < 3)
    1.39 +// Special gcc workaround: gcc 2.95.x ignores using-declarations
    1.40 +// in template classes (confirmed by gcc author Martin v. Loewis)
    1.41 +  using std::sqrt;
    1.42 +  using std::exp;
    1.43 +#endif
    1.44 +
    1.45 +template<class RealType = double>
    1.46 +class lognormal_distribution
    1.47 +{
    1.48 +public:
    1.49 +  typedef typename normal_distribution<RealType>::input_type input_type;
    1.50 +  typedef RealType result_type;
    1.51 +
    1.52 +#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
    1.53 +    BOOST_STATIC_ASSERT(!std::numeric_limits<RealType>::is_integer);
    1.54 +#endif
    1.55 +
    1.56 +  explicit lognormal_distribution(result_type mean = result_type(1),
    1.57 +                                  result_type sigma = result_type(1))
    1.58 +    : _mean(mean), _sigma(sigma)
    1.59 +  { 
    1.60 +    assert(mean > result_type(0));
    1.61 +    init();
    1.62 +  }
    1.63 +
    1.64 +  // compiler-generated copy ctor and assignment operator are fine
    1.65 +
    1.66 +  RealType& mean() const { return _mean; }
    1.67 +  RealType& sigma() const { return _sigma; }
    1.68 +  void reset() { _normal.reset(); }
    1.69 +
    1.70 +  template<class Engine>
    1.71 +  result_type operator()(Engine& eng)
    1.72 +  {
    1.73 +#ifndef BOOST_NO_STDC_NAMESPACE
    1.74 +    // allow for Koenig lookup
    1.75 +    using std::exp;
    1.76 +#endif
    1.77 +    return exp(_normal(eng) * _nsigma + _nmean);
    1.78 +  }
    1.79 +
    1.80 +#if !defined(BOOST_NO_OPERATORS_IN_NAMESPACE) && !defined(BOOST_NO_MEMBER_TEMPLATE_FRIENDS)
    1.81 +  template<class CharT, class Traits>
    1.82 +  friend std::basic_ostream<CharT,Traits>&
    1.83 +  operator<<(std::basic_ostream<CharT,Traits>& os, const lognormal_distribution& ld)
    1.84 +  {
    1.85 +    os << ld._normal << " " << ld._mean << " " << ld._sigma;
    1.86 +    return os;
    1.87 +  }
    1.88 +
    1.89 +  template<class CharT, class Traits>
    1.90 +  friend std::basic_istream<CharT,Traits>&
    1.91 +  operator>>(std::basic_istream<CharT,Traits>& is, lognormal_distribution& ld)
    1.92 +  {
    1.93 +    is >> std::ws >> ld._normal >> std::ws >> ld._mean >> std::ws >> ld._sigma;
    1.94 +    ld.init();
    1.95 +    return is;
    1.96 +  }
    1.97 +#endif
    1.98 +
    1.99 +private:
   1.100 +  void init()
   1.101 +  {
   1.102 +#ifndef BOOST_NO_STDC_NAMESPACE
   1.103 +    // allow for Koenig lookup
   1.104 +    using std::exp; using std::log; using std::sqrt;
   1.105 +#endif
   1.106 +    _nmean = log(_mean*_mean/sqrt(_sigma*_sigma + _mean*_mean));
   1.107 +    _nsigma = sqrt(log(_sigma*_sigma/_mean/_mean+result_type(1)));
   1.108 +  }
   1.109 +
   1.110 +  RealType _mean, _sigma;
   1.111 +  RealType _nmean, _nsigma;
   1.112 +  normal_distribution<result_type> _normal;
   1.113 +};
   1.114 +
   1.115 +} // namespace boost
   1.116 +
   1.117 +#endif // BOOST_RANDOM_LOGNORMAL_DISTRIBUTION_HPP