185 lines
		
	
	
		
			5.9 KiB
		
	
	
	
		
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			185 lines
		
	
	
		
			5.9 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
/* boost random/beta_distribution.hpp header file
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 *
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 * Copyright Steven Watanabe 2014
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 * Distributed under the Boost Software License, Version 1.0. (See
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 * accompanying file LICENSE_1_0.txt or copy at
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 * http://www.boost.org/LICENSE_1_0.txt)
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 *
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 * See http://www.boost.org for most recent version including documentation.
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 *
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 * $Id$
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 */
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#ifndef BOOST_RANDOM_BETA_DISTRIBUTION_HPP
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#define BOOST_RANDOM_BETA_DISTRIBUTION_HPP
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#include <cassert>
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#include <istream>
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#include <iosfwd>
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#include <boost/random/detail/operators.hpp>
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#include <boost/random/gamma_distribution.hpp>
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namespace boost {
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namespace random {
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/**
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 * The beta distribution is a real-valued distribution which produces
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 * values in the range [0, 1].  It has two parameters, alpha and beta.
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 *
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 * It has \f$\displaystyle p(x) = \frac{x^{\alpha-1}(1-x)^{\beta-1}}{B(\alpha, \beta)}\f$.
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 */
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template<class RealType = double>
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class beta_distribution {
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public:
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    typedef RealType result_type;
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    typedef RealType input_type;
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    class param_type {
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    public:
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        typedef beta_distribution distribution_type;
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        /**
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         * Constructs a @c param_type from the "alpha" and "beta" parameters
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         * of the distribution.
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         *
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         * Requires: alpha > 0, beta > 0
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         */
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        explicit param_type(RealType alpha_arg = RealType(1.0),
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                            RealType beta_arg = RealType(1.0))
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          : _alpha(alpha_arg), _beta(beta_arg)
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        {
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            assert(alpha_arg > 0);
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            assert(beta_arg > 0);
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        }
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        /** Returns the "alpha" parameter of the distribtuion. */
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        RealType alpha() const { return _alpha; }
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        /** Returns the "beta" parameter of the distribution. */
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        RealType beta() const { return _beta; }
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        /** Writes a @c param_type to a @c std::ostream. */
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        BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm)
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        { os << parm._alpha << ' ' << parm._beta; return os; }
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        /** Reads a @c param_type from a @c std::istream. */
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        BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm)
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        { is >> parm._alpha >> std::ws >> parm._beta; return is; }
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        /** Returns true if the two sets of parameters are the same. */
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        BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs)
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        { return lhs._alpha == rhs._alpha && lhs._beta == rhs._beta; }
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        /** Returns true if the two sets of parameters are the different. */
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        BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type)
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    private:
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        RealType _alpha;
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        RealType _beta;
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    };
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    /**
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     * Constructs an @c beta_distribution from its "alpha" and "beta" parameters.
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     *
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     * Requires: alpha > 0, beta > 0
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     */
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    explicit beta_distribution(RealType alpha_arg = RealType(1.0),
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                               RealType beta_arg = RealType(1.0))
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      : _alpha(alpha_arg), _beta(beta_arg)
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    {
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        assert(alpha_arg > 0);
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        assert(beta_arg > 0);
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    }
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    /** Constructs an @c beta_distribution from its parameters. */
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    explicit beta_distribution(const param_type& parm)
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      : _alpha(parm.alpha()), _beta(parm.beta())
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    {}
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    /**
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     * Returns a random variate distributed according to the
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     * beta distribution.
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     */
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    template<class URNG>
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    RealType operator()(URNG& urng) const
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    {
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        RealType a = gamma_distribution<RealType>(_alpha, RealType(1.0))(urng);
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        RealType b = gamma_distribution<RealType>(_beta, RealType(1.0))(urng);
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        return a / (a + b);
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    }
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    /**
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     * Returns a random variate distributed accordint to the beta
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     * distribution with parameters specified by @c param.
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     */
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    template<class URNG>
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    RealType operator()(URNG& urng, const param_type& parm) const
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    {
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        return beta_distribution(parm)(urng);
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    }
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    /** Returns the "alpha" parameter of the distribution. */
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    RealType alpha() const { return _alpha; }
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    /** Returns the "beta" parameter of the distribution. */
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    RealType beta() const { return _beta; }
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    /** Returns the smallest value that the distribution can produce. */
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    RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const
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    { return RealType(0.0); }
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    /** Returns the largest value that the distribution can produce. */
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    RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const
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    { return RealType(1.0); }
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    /** Returns the parameters of the distribution. */
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    param_type param() const { return param_type(_alpha, _beta); }
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    /** Sets the parameters of the distribution. */
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    void param(const param_type& parm)
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    {
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        _alpha = parm.alpha();
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        _beta = parm.beta();
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    }
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    /**
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     * Effects: Subsequent uses of the distribution do not depend
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     * on values produced by any engine prior to invoking reset.
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     */
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    void reset() { }
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    /** Writes an @c beta_distribution to a @c std::ostream. */
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    BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, beta_distribution, wd)
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    {
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        os << wd.param();
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        return os;
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    }
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    /** Reads an @c beta_distribution from a @c std::istream. */
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    BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, beta_distribution, wd)
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    {
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        param_type parm;
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        if(is >> parm) {
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            wd.param(parm);
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        }
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        return is;
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    }
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    /**
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     * Returns true if the two instances of @c beta_distribution will
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     * return identical sequences of values given equal generators.
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     */
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    BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(beta_distribution, lhs, rhs)
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    { return lhs._alpha == rhs._alpha && lhs._beta == rhs._beta; }
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    /**
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     * Returns true if the two instances of @c beta_distribution will
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     * return different sequences of values given equal generators.
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     */
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    BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(beta_distribution)
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private:
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    RealType _alpha;
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    RealType _beta;
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};
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} // namespace random
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} // namespace boost
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#endif // BOOST_RANDOM_BETA_DISTRIBUTION_HPP
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