1 | #ifndef BOOST_RANDOM_BETA_DISTRIBUTION_HPP
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2 | #define BOOST_RANDOM_BETA_DISTRIBUTION_HPP
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3 |
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4 | #include <istream>
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5 | #include <iosfwd>
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6 | #include <boost/assert.hpp>
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7 | #include <boost/static_assert.hpp>
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8 | #include <boost/random/detail/config.hpp>
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9 | #include <boost/random/detail/operators.hpp>
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10 | #include <boost/random/gamma_distribution.hpp>
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11 |
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12 | namespace boost { namespace random {
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13 |
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14 | /**
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15 | * Instantiations of class template beta_distribution model a
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16 | * \random_distribiton. Such a distribution produces random numbers @c x
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17 | * distributed with probability density function
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18 | * \f$\displaystyle p(x) =
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19 | * \frac{1}{B(\alpha,\beta)}x^{\alpha-1}(1-x)^{\beta-1}
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20 | * \f$,
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21 | * where shape1 and shape2 are the paramters of the distributions.
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22 | */
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23 | template <typename RealType = double>
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24 | class beta_distribution
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25 | {
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26 | public :
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27 |
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28 | typedef RealType input_type;
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29 | typedef RealType result_type;
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30 |
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31 | class param_type
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32 | {
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33 | public :
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34 |
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35 | typedef beta_distribution distribution_type;
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36 |
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37 | /**
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38 | * Constructs a @c param_type with a given shape1 and shape2.
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39 | *
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40 | * Requires: shape1 > 0 && shape2 > 0
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41 | */
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42 | explicit param_type (
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43 | RealType shape1_arg = RealType(1.0),
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44 | RealType shape2_arg = RealType(1.0)) :
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45 | _shape1(shape1_arg), _shape2(shape2_arg) {}
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46 |
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47 | /** Returns the shape1 of the distribution. */
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48 | RealType shape1 () const {return _shape1;}
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49 |
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50 | /** Returns the shape2 of the distribution. */
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51 | RealType shape2 () const {return _shape2;}
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52 |
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53 | /** Writes a @c param_type to a @c std::ostream. */
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54 | BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm)
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55 | { os << parm._shape1 << " " << parm._shape2 ; return os; }
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56 |
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57 | /** Reads a @c param_type from a @c std::istream. */
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58 | BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm)
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59 | { is >> parm._shape1 >> std::ws >> parm._shape2; return is; }
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60 |
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61 | /** Returns true if the two sets of parameters are the same. */
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62 | BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs)
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63 | { return lhs._shape1 == rhs._shape1 && lhs._shape2 == rhs._shape2; }
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64 |
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65 | /** Returns true if the two sets of parameters are the different. */
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66 | BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type)
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67 | private :
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68 |
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69 | RealType _shape1;
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70 | RealType _shape2;
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71 | }; // class param_type
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72 |
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73 | /**
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74 | * Constructs a @c beta_distribution objet. @c shape1 and @c shape2 are
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75 | * the parameters for the distribution.
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76 | *
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77 | * Requires: shape1 > 0 && shape2 > 0
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78 | */
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79 | explicit beta_distribution (
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80 | const RealType &shape1_arg = RealType(1.0),
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81 | const RealType &shape2_arg = RealType(1.0)) :
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82 | _shape1(shape1_arg), _shape2(shape2_arg)
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83 | {
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84 | BOOST_ASSERT(_shape1 > RealType(0.0));
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85 | BOOST_ASSERT(_shape2 > RealType(0.0));
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86 | }
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87 |
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88 | /**
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89 | * Constructs a @c beta_distribution object from its parameters.
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90 | */
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91 | explicit beta_distribution (const param_type &parm) :
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92 | _shape1(parm.shape1()), _shape2(parm.shape2())
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93 | {
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94 | BOOST_ASSERT(_shape1 > RealType(0.0));
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95 | BOOST_ASSERT(_shape2 > RealType(0.0));
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96 | }
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97 |
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98 | /** Returns the shape1 of the distribution. */
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99 | RealType shape1 () const {return _shape1;}
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100 |
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101 | /** Returns the shape2 of the distribution. */
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102 | RealType shape2 () const {return _shape2;}
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103 |
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104 | /** Returns the smallest value that the distribution can produce. */
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105 | RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const
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106 | {return RealType(0.0);}
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107 |
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108 | /** Returns the largest value that the distribution can produce. */
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109 | RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const
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110 | {return RealType(1.0);}
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111 |
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112 | /** Returns the parameters of the distribution. */
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113 | param_type param () const {return param_type(_shape1, _shape2);}
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114 |
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115 | /** Sets the parameters of the distribution. */
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116 | void param (const param_type &parm)
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117 | {
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118 | _shape1 = parm.shape1();
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119 | _shape2 = parm.shape2();
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120 | }
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121 |
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122 | /**
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123 | * Effects: Subsequent uses of the distribution do not depend
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124 | * on values produced by any engine prior to invoking reset.
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125 | */
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126 | void reset () {}
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127 |
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128 | /** Returns a beta variate. */
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129 | template <typename Engine>
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130 | result_type operator() (Engine &eng)
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131 | {
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132 | RealType x =
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133 | boost::random::gamma_distribution<RealType>(_shape1, 1)(eng);
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134 | RealType y =
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135 | boost::random::gamma_distribution<RealType>(_shape2, 1)(eng);
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136 |
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137 | return x / (x + y);
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138 | }
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139 |
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140 | /** Returns a beta variate with parameters specified by @c param. */
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141 | template <typename URNG>
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142 | result_type operator() (URNG &urng, const param_type &parm)
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143 | {
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144 | return beta_distribution(parm)(urng);
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145 | }
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146 |
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147 | /** Writes a @c beta_distribution to a @c std::ostream. */
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148 | BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, beta_distribution, nd)
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149 | {
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150 | os << nd._shape1 << " " << nd._shape2 << " ";
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151 | return os;
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152 | }
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153 |
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154 | /** Reads a @c beta_distribution from a @c std::istream. */
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155 | BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, beta_distribution, nd)
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156 | {
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157 | is >> std::ws >> nd._shape1 >> std::ws >> nd._shape2;
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158 | return is;
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159 | }
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160 |
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161 | /**
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162 | * Returns true if the two instances of @c beta_distribution will
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163 | * return identical sequences of values given equal generators.
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164 | */
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165 | BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(beta_distribution, lhs, rhs)
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166 | {
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167 | return lhs._shape1 == rhs._shape2 && lhs._shape1 == rhs._shape2;
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168 | }
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169 |
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170 | /**
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171 | * Returns true if the two instances of @c beta_distribution will
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172 | * return different sequences of values given equal generators.
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173 | */
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174 | BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(beta_distribution)
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175 |
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176 | private :
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177 |
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178 | RealType _shape1;
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179 | RealType _shape2;
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180 | }; // class beta_distribution
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181 |
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182 | } // namespace random
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183 |
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184 | using random::beta_distribution;
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185 |
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186 | } // namespace boost
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187 |
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188 | #endif // BOOST_RANDOM_BETA_DISTRIBUTION_HPP
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