[081e5d] | 1 | /*
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| 2 | * Project: MoleCuilder
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| 3 | * Description: creates and alters molecular systems
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[0aa122] | 4 | * Copyright (C) 2010-2012 University of Bonn. All rights reserved.
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[94d5ac6] | 5 | *
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| 6 | *
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| 7 | * This file is part of MoleCuilder.
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| 8 | *
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| 9 | * MoleCuilder is free software: you can redistribute it and/or modify
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| 10 | * it under the terms of the GNU General Public License as published by
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| 11 | * the Free Software Foundation, either version 2 of the License, or
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| 12 | * (at your option) any later version.
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| 13 | *
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| 14 | * MoleCuilder is distributed in the hope that it will be useful,
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| 15 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 16 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 17 | * GNU General Public License for more details.
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| 18 | *
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| 19 | * You should have received a copy of the GNU General Public License
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| 20 | * along with MoleCuilder. If not, see <http://www.gnu.org/licenses/>.
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[081e5d] | 21 | */
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| 22 |
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| 23 | /*
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| 24 | * \file RandomNumberDistribution_Encapsulation_impl.hpp
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| 25 | *
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| 26 | * Herein we place specializations of specific functions for specific distributions.
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| 27 | *
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| 28 | * Created on: Jan 5, 2011
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| 29 | * Author: heber
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| 30 | */
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| 31 |
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| 32 | // include config.h
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| 33 | #ifdef HAVE_CONFIG_H
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| 34 | #include <config.h>
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| 35 | #endif
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| 36 |
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[9eb71b3] | 37 | //#include "CodePatterns/MemDebug.hpp"
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[081e5d] | 38 |
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[ecb6c5] | 39 | #include <limits>
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| 40 |
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[081e5d] | 41 | #include "RandomNumberDistribution_Encapsulation.hpp"
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| 42 |
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[0275ad] | 43 | /* ========= manipulatedclone() ================ */
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| 44 |
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| 45 | template <>
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| 46 | RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::
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| 47 | RandomNumberDistribution_Encapsulation (const RandomNumberDistribution_Parameters&_params) :
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| 48 | distribution_type(_params.min, _params.max)
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| 49 | {}
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| 50 |
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| 51 | template <>
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| 52 | RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::
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| 53 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 54 | distribution_type(_params.min, _params.max)
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| 55 | {}
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| 56 |
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| 57 | template <>
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| 58 | RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::
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| 59 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 60 | distribution_type(_params.min, _params.max)
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| 61 | {}
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| 62 |
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| 63 | template <>
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| 64 | RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::
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| 65 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 66 | distribution_type(_params.p)
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| 67 | {}
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| 68 |
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| 69 | template <>
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| 70 | RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::
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| 71 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 72 | distribution_type((int)_params.t, _params.p)
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| 73 | {}
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| 74 |
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| 75 | template <>
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| 76 | RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::
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| 77 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 78 | distribution_type(_params.median, _params.sigma)
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| 79 | {}
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| 80 |
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| 81 | template <>
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| 82 | RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::
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| 83 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 84 | distribution_type(_params.alpha)
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| 85 | {}
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| 86 |
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| 87 | template <>
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| 88 | RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::
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| 89 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 90 | distribution_type(_params.mean)
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| 91 | {}
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| 92 |
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| 93 | template <>
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| 94 | RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::
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| 95 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 96 | distribution_type(_params.p)
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| 97 | {}
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| 98 |
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| 99 | template <>
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| 100 | RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::
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| 101 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 102 | distribution_type(_params.a, _params.b, _params.c)
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| 103 | {}
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| 104 |
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| 105 | template <>
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| 106 | RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::
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| 107 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 108 | distribution_type(_params.lambda)
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| 109 | {}
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| 110 |
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| 111 | template <>
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| 112 | RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::
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| 113 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 114 | distribution_type(_params.mean, _params.sigma)
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| 115 | {}
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| 116 |
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| 117 | template <>
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| 118 | RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::
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| 119 | RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
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| 120 | distribution_type(_params.mean, _params.sigma)
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| 121 | {}
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[081e5d] | 122 |
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| 123 | /* =============== min() ======================= */
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| 124 |
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| 125 | template <>
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| 126 | double RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::min() const
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| 127 | {
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| 128 | return distribution_type.min();
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| 129 | }
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| 130 |
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| 131 | template <>
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| 132 | double RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::min() const
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| 133 | {
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| 134 | return distribution_type.min();
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| 135 | }
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| 136 |
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| 137 | template <>
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| 138 | double RandomNumberDistribution_Encapsulation< boost::uniform_01<> >::min() const
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| 139 | {
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| 140 | return distribution_type.min();
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| 141 | }
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| 142 |
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| 143 | template <>
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| 144 | double RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::min() const
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| 145 | {
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| 146 | return distribution_type.min();
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| 147 | }
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| 148 |
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[ecb6c5] | 149 | template <>
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| 150 | double RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::min() const
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| 151 | {
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| 152 | return 0.;
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| 153 | }
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| 154 |
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| 155 | template <>
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| 156 | double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::min() const
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| 157 | {
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| 158 | return 0.;
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| 159 | }
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| 160 |
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| 161 | template <>
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| 162 | double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::min() const
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| 163 | {
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| 164 | return std::numeric_limits<double>::min();
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| 165 | }
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| 166 |
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| 167 | template <>
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| 168 | double RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::min() const
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| 169 | {
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| 170 | return 0.;
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| 171 | }
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| 172 |
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| 173 | template <>
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| 174 | double RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::min() const
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| 175 | {
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| 176 | return 0.;
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| 177 | }
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| 178 |
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| 179 | template <>
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| 180 | double RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::min() const
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| 181 | {
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| 182 | return 0.;
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| 183 | }
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| 184 |
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| 185 | template <>
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| 186 | double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::min() const
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| 187 | {
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| 188 | return distribution_type.a();
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| 189 | }
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| 190 |
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| 191 | template <>
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| 192 | double RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::min() const
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| 193 | {
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| 194 | return 0.;
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| 195 | }
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| 196 |
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| 197 | template <>
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| 198 | double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::min() const
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| 199 | {
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| 200 | return std::numeric_limits<double>::min();
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| 201 | }
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[081e5d] | 202 |
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[ecb6c5] | 203 | template <>
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| 204 | double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::min() const
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| 205 | {
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| 206 | return 0.;
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| 207 | }
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[081e5d] | 208 |
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| 209 | /* =============== max() ======================= */
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| 210 |
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| 211 | template <>
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| 212 | double RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::max() const
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| 213 | {
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| 214 | return distribution_type.max();
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| 215 | }
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| 216 |
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| 217 | template <>
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| 218 | double RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::max() const
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| 219 | {
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| 220 | return distribution_type.max();
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| 221 | }
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| 222 |
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| 223 | template <>
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| 224 | double RandomNumberDistribution_Encapsulation< boost::uniform_01<> >::max() const
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| 225 | {
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| 226 | return distribution_type.max();
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| 227 | }
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| 228 |
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| 229 | template <>
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| 230 | double RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::max() const
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| 231 | {
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| 232 | return distribution_type.max();
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| 233 | }
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| 234 |
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[ecb6c5] | 235 | template <>
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| 236 | double RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::max() const
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| 237 | {
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| 238 | return 1.;
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| 239 | }
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| 240 |
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| 241 | template <>
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| 242 | double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::max() const
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| 243 | {
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| 244 | return distribution_type.t();
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| 245 | }
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| 246 |
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| 247 | template <>
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| 248 | double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::max() const
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| 249 | {
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| 250 | return std::numeric_limits<double>::max();
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| 251 | }
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| 252 |
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| 253 | template <>
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| 254 | double RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::max() const
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| 255 | {
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| 256 | return std::numeric_limits<double>::max();
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| 257 | }
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| 258 |
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| 259 | template <>
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| 260 | double RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::max() const
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| 261 | {
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| 262 | return std::numeric_limits<double>::max();
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| 263 | }
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| 264 |
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| 265 | template <>
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| 266 | double RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::max() const
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| 267 | {
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| 268 | return std::numeric_limits<double>::max();
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| 269 | }
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| 270 |
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| 271 | template <>
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| 272 | double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::max() const
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| 273 | {
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| 274 | return distribution_type.c();
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| 275 | }
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| 276 |
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| 277 | template <>
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| 278 | double RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::max() const
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| 279 | {
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| 280 | return std::numeric_limits<double>::max();
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| 281 | }
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| 282 |
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| 283 | template <>
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| 284 | double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::max() const
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| 285 | {
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| 286 | return std::numeric_limits<double>::max();
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| 287 | }
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| 288 |
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| 289 | template <>
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| 290 | double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::max() const
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| 291 | {
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| 292 | return std::numeric_limits<double>::max();
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| 293 | }
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[081e5d] | 294 |
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| 295 | /* =============== p() ======================= */
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| 296 |
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| 297 | template <>
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| 298 | double RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::p() const
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| 299 | {
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| 300 | return distribution_type.p();
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| 301 | }
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| 302 |
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| 303 | template <>
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| 304 | double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::p() const
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| 305 | {
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| 306 | return distribution_type.p();
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| 307 | }
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| 308 |
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| 309 | template <>
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| 310 | double RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::p() const
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| 311 | {
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| 312 | return distribution_type.p();
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| 313 | }
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| 314 |
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| 315 |
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| 316 | /* =============== t() ======================= */
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| 317 |
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| 318 | template <>
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| 319 | double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::t() const
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| 320 | {
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| 321 | return distribution_type.t();
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| 322 | }
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| 323 |
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| 324 | /* =============== median() ======================= */
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| 325 |
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| 326 | template <>
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| 327 | double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::median() const
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| 328 | {
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| 329 | return distribution_type.median();
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| 330 | }
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| 331 |
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| 332 | /* =============== sigma() ======================= */
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| 333 |
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| 334 | template <>
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| 335 | double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::sigma() const
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| 336 | {
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| 337 | return distribution_type.sigma();
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| 338 | }
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| 339 |
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| 340 | template <>
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| 341 | double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::sigma() const
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| 342 | {
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| 343 | return distribution_type.sigma();
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| 344 | }
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| 345 |
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| 346 | template <>
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| 347 | double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::sigma() const
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| 348 | {
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| 349 | return distribution_type.sigma();
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| 350 | }
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| 351 |
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| 352 | /* =============== alpha() ======================= */
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| 353 |
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| 354 | template <>
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| 355 | double RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::alpha() const
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| 356 | {
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| 357 | return distribution_type.alpha();
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| 358 | }
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| 359 |
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| 360 |
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| 361 | /* =============== mean() ======================= */
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| 362 |
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| 363 | template <>
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| 364 | double RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::mean() const
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| 365 | {
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| 366 | return distribution_type.mean();
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| 367 | }
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| 368 |
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| 369 | template <>
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| 370 | double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::mean() const
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| 371 | {
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| 372 | return distribution_type.mean();
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| 373 | }
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| 374 |
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| 375 | template <>
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| 376 | double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::mean() const
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| 377 | {
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| 378 | return distribution_type.mean();
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| 379 | }
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| 380 |
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| 381 | /* =============== a() ======================= */
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| 382 |
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| 383 | template <>
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| 384 | double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::a() const
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| 385 | {
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| 386 | return distribution_type.a();
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| 387 | }
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| 388 |
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| 389 |
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| 390 | /* =============== b() ======================= */
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| 391 |
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| 392 | template <>
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| 393 | double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::b() const
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| 394 | {
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| 395 | return distribution_type.b();
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| 396 | }
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| 397 |
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| 398 |
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| 399 | /* =============== c() ======================= */
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| 400 |
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| 401 | template <>
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| 402 | double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::c() const
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| 403 | {
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| 404 | return distribution_type.c();
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| 405 | }
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| 406 |
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| 407 |
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| 408 | /* =============== lambda() ======================= */
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| 409 |
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| 410 | template <>
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| 411 | double RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::lambda() const
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| 412 | {
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| 413 | return distribution_type.lambda();
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| 414 | }
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| 415 |
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| 416 |
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