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/usr/include/boost/random

Name	Size	Mode	Actions
detail/	-	0755	rm
additive_combine.hpp	8826	0644	edit dl rm
bernoulli_distribution.hpp	5608	0644	edit dl rm
beta_distribution.hpp	5900	0644	edit dl rm
binomial_distribution.hpp	12985	0644	edit dl rm
cauchy_distribution.hpp	6528	0644	edit dl rm
chi_squared_distribution.hpp	6322	0644	edit dl rm
discard_block.hpp	7991	0644	edit dl rm
discrete_distribution.hpp	21137	0644	edit dl rm
exponential_distribution.hpp	20895	0644	edit dl rm
extreme_value_distribution.hpp	5611	0644	edit dl rm
faure.hpp	11474	0644	edit dl rm
fisher_f_distribution.hpp	5924	0644	edit dl rm
gamma_distribution.hpp	9166	0644	edit dl rm
generate_canonical.hpp	2954	0644	edit dl rm
geometric_distribution.hpp	7339	0644	edit dl rm
hyperexponential_distribution.hpp	36980	0644	edit dl rm
independent_bits.hpp	9117	0644	edit dl rm
inversive_congruential.hpp	9550	0644	edit dl rm
lagged_fibonacci.hpp	18256	0644	edit dl rm
laplace_distribution.hpp	5743	0644	edit dl rm
linear_congruential.hpp	16214	0644	edit dl rm
linear_feedback_shift.hpp	7162	0644	edit dl rm
lognormal_distribution.hpp	8051	0644	edit dl rm
mersenne_twister.hpp	24094	0644	edit dl rm
negative_binomial_distribution.hpp	6911	0644	edit dl rm
niederreiter_base2.hpp	11736	0644	edit dl rm
non_central_chi_squared_distribution.hpp	7724	0644	edit dl rm
normal_distribution.hpp	17441	0644	edit dl rm
piecewise_constant_distribution.hpp	17186	0644	edit dl rm
piecewise_linear_distribution.hpp	18802	0644	edit dl rm
poisson_distribution.hpp	10145	0644	edit dl rm
random_device.hpp	5032	0644	edit dl rm
random_number_generator.hpp	1958	0644	edit dl rm
ranlux.hpp	3292	0644	edit dl rm
seed_seq.hpp	3792	0644	edit dl rm
shuffle_order.hpp	9181	0644	edit dl rm
shuffle_output.hpp	1352	0644	edit dl rm
sobol.hpp	7704	0644	edit dl rm
student_t_distribution.hpp	5633	0644	edit dl rm
subtract_with_carry.hpp	21590	0644	edit dl rm
taus88.hpp	1164	0644	edit dl rm
traits.hpp	4165	0644	edit dl rm
triangle_distribution.hpp	7033	0644	edit dl rm
uniform_01.hpp	7538	0644	edit dl rm
uniform_int.hpp	2909	0644	edit dl rm
uniform_int_distribution.hpp	16199	0644	edit dl rm
uniform_on_sphere.hpp	8812	0644	edit dl rm
uniform_real.hpp	2449	0644	edit dl rm
uniform_real_distribution.hpp	7726	0644	edit dl rm
uniform_smallint.hpp	12230	0644	edit dl rm
variate_generator.hpp	3708	0644	edit dl rm
weibull_distribution.hpp	5524	0644	edit dl rm
xor_combine.hpp	7049	0644	edit dl rm

Edit: /usr/include/boost/random/fisher_f_distribution.hpp (5924B)

/* boost random/fisher_f_distribution.hpp header file
 *
 * Copyright Steven Watanabe 2011
 * 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.
 *
 * $Id$
 */

#ifndef BOOST_RANDOM_FISHER_F_DISTRIBUTION_HPP
#define BOOST_RANDOM_FISHER_F_DISTRIBUTION_HPP

#include <iosfwd>
#include <istream>
#include <boost/config.hpp>
#include <boost/limits.hpp>
#include <boost/random/detail/operators.hpp>
#include <boost/random/chi_squared_distribution.hpp>

namespace boost {
namespace random {

/**
 * The Fisher F distribution is a real valued distribution with two
 * parameters m and n.
 *
 * It has \f$\displaystyle p(x) =
 *   \frac{\Gamma((m+n)/2)}{\Gamma(m/2)\Gamma(n/2)}
 *   \left(\frac{m}{n}\right)^{m/2}
 *   x^{(m/2)-1} \left(1+\frac{mx}{n}\right)^{-(m+n)/2}
 * \f$.
 */
template<class RealType = double>
class fisher_f_distribution {
public:
    typedef RealType result_type;
    typedef RealType input_type;

class param_type {
    public:
        typedef fisher_f_distribution distribution_type;

/**
         * Constructs a @c param_type from the "m" and "n" parameters
         * of the distribution.
         *
         * Requires: m > 0 and n > 0
         */
        explicit param_type(RealType m_arg = RealType(1.0),
                            RealType n_arg = RealType(1.0))
          : _m(m_arg), _n(n_arg)
        {}

/** Returns the "m" parameter of the distribtuion. */
        RealType m() const { return _m; }
        /** Returns the "n" parameter of the distribution. */
        RealType n() const { return _n; }

/** Writes a @c param_type to a @c std::ostream. */
        BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm)
        { os << parm._m << ' ' << parm._n; return os; }

/** Reads a @c param_type from a @c std::istream. */
        BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm)
        { is >> parm._m >> std::ws >> parm._n; return is; }

/** Returns true if the two sets of parameters are the same. */
        BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs)
        { return lhs._m == rhs._m && lhs._n == rhs._n; }
        
        /** Returns true if the two sets of parameters are the different. */
        BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type)

private:
        RealType _m;
        RealType _n;
    };

/**
     * Constructs a @c fisher_f_distribution from its "m" and "n" parameters.
     *
     * Requires: m > 0 and n > 0
     */
    explicit fisher_f_distribution(RealType m_arg = RealType(1.0),
                                   RealType n_arg = RealType(1.0))
      : _impl_m(m_arg), _impl_n(n_arg)
    {}
    /** Constructs an @c fisher_f_distribution from its parameters. */
    explicit fisher_f_distribution(const param_type& parm)
      : _impl_m(parm.m()), _impl_n(parm.n())
    {}

/**
     * Returns a random variate distributed according to the
     * F distribution.
     */
    template<class URNG>
    RealType operator()(URNG& urng)
    {
        return (_impl_m(urng) * n()) / (_impl_n(urng) * m());
    }

/**
     * Returns a random variate distributed according to the
     * F distribution with parameters specified by @c param.
     */
    template<class URNG>
    RealType operator()(URNG& urng, const param_type& parm) const
    {
        return fisher_f_distribution(parm)(urng);
    }

/** Returns the "m" parameter of the distribution. */
    RealType m() const { return _impl_m.n(); }
    /** Returns the "n" parameter of the distribution. */
    RealType n() const { return _impl_n.n(); }

/** Returns the smallest value that the distribution can produce. */
    RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return 0; }
    /** Returns the largest value that the distribution can produce. */
    RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const
    { return std::numeric_limits<RealType>::infinity(); }

/** Returns the parameters of the distribution. */
    param_type param() const { return param_type(m(), n()); }
    /** Sets the parameters of the distribution. */
    void param(const param_type& parm)
    {
        typedef chi_squared_distribution<RealType> impl_type;
        typename impl_type::param_type m_param(parm.m());
        _impl_m.param(m_param);
        typename impl_type::param_type n_param(parm.n());
        _impl_n.param(n_param);
    }

/**
     * Effects: Subsequent uses of the distribution do not depend
     * on values produced by any engine prior to invoking reset.
     */
    void reset() { }

/** Writes an @c fisher_f_distribution to a @c std::ostream. */
    BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, fisher_f_distribution, fd)
    {
        os << fd.param();
        return os;
    }

/** Reads an @c fisher_f_distribution from a @c std::istream. */
    BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, fisher_f_distribution, fd)
    {
        param_type parm;
        if(is >> parm) {
            fd.param(parm);
        }
        return is;
    }

/**
     * Returns true if the two instances of @c fisher_f_distribution will
     * return identical sequences of values given equal generators.
     */
    BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(fisher_f_distribution, lhs, rhs)
    { return lhs._impl_m == rhs._impl_m && lhs._impl_n == rhs._impl_n; }
    
    /**
     * Returns true if the two instances of @c fisher_f_distribution will
     * return different sequences of values given equal generators.
     */
    BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(fisher_f_distribution)

private:
    chi_squared_distribution<RealType> _impl_m;
    chi_squared_distribution<RealType> _impl_n;
};

} // namespace random
} // namespace boost

#endif // BOOST_RANDOM_EXTREME_VALUE_DISTRIBUTION_HPP

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