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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/triangle_distribution.hpp (7033B)

/* boost random/triangle_distribution.hpp header file
 *
 * Copyright Jens Maurer 2000-2001
 * 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.
 *
 * $Id$
 *
 * Revision history
 *  2001-02-18  moved to individual header files
 */

#ifndef BOOST_RANDOM_TRIANGLE_DISTRIBUTION_HPP
#define BOOST_RANDOM_TRIANGLE_DISTRIBUTION_HPP

#include <boost/config/no_tr1/cmath.hpp>
#include <iosfwd>
#include <ios>
#include <istream>
#include <boost/assert.hpp>
#include <boost/random/detail/config.hpp>
#include <boost/random/detail/operators.hpp>
#include <boost/random/uniform_01.hpp>

namespace boost {
namespace random {

/**
 * Instantiations of @c triangle_distribution model a \random_distribution.
 * A @c triangle_distribution has three parameters, @c a, @c b, and @c c,
 * which are the smallest, the most probable and the largest values of
 * the distribution respectively.
 */
template<class RealType = double>
class triangle_distribution
{
public:
    typedef RealType input_type;
    typedef RealType result_type;

class param_type
    {
    public:

typedef triangle_distribution distribution_type;

/** Constructs the parameters of a @c triangle_distribution. */
        explicit param_type(RealType a_arg = RealType(0.0),
                            RealType b_arg = RealType(0.5),
                            RealType c_arg = RealType(1.0))
          : _a(a_arg), _b(b_arg), _c(c_arg)
        {
            BOOST_ASSERT(_a <= _b && _b <= _c);
        }

/** Returns the minimum value of the distribution. */
        RealType a() const { return _a; }
        /** Returns the mode of the distribution. */
        RealType b() const { return _b; }
        /** Returns the maximum value of the distribution. */
        RealType c() const { return _c; }

/** Writes the parameters to a @c std::ostream. */
        BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm)
        {
            os << parm._a << " " << parm._b << " " << parm._c;
            return os;
        }

/** Reads the parameters from a @c std::istream. */
        BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm)
        {
            double a_in, b_in, c_in;
            if(is >> a_in >> std::ws >> b_in >> std::ws >> c_in) {
                if(a_in <= b_in && b_in <= c_in) {
                    parm._a = a_in;
                    parm._b = b_in;
                    parm._c = c_in;
                } else {
                    is.setstate(std::ios_base::failbit);
                }
            }
            return is;
        }

/** Returns true if the two sets of parameters are equal. */
        BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs)
        { return lhs._a == rhs._a && lhs._b == rhs._b && lhs._c == rhs._c; }

/** Returns true if the two sets of parameters are different. */
        BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type)

private:
        RealType _a;
        RealType _b;
        RealType _c;
    };

/**
     * Constructs a @c triangle_distribution with the parameters
     * @c a, @c b, and @c c.
     *
     * Preconditions: a <= b <= c.
     */
    explicit triangle_distribution(RealType a_arg = RealType(0.0),
                                   RealType b_arg = RealType(0.5),
                                   RealType c_arg = RealType(1.0))
      : _a(a_arg), _b(b_arg), _c(c_arg)
    {
        BOOST_ASSERT(_a <= _b && _b <= _c);
        init();
    }

/** Constructs a @c triangle_distribution from its parameters. */
    explicit triangle_distribution(const param_type& parm)
      : _a(parm.a()), _b(parm.b()), _c(parm.c())
    {
        init();
    }

// compiler-generated copy ctor and assignment operator are fine

/** Returns the @c a parameter of the distribution */
    result_type a() const { return _a; }
    /** Returns the @c b parameter of the distribution */
    result_type b() const { return _b; }
    /** Returns the @c c parameter of the distribution */
    result_type c() const { return _c; }

/** Returns the smallest value that the distribution can produce. */
    RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _a; }
    /** Returns the largest value that the distribution can produce. */
    RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return _c; }

/** Returns the parameters of the distribution. */
    param_type param() const { return param_type(_a, _b, _c); }
    /** Sets the parameters of the distribution. */
    void param(const param_type& parm)
    {
        _a = parm.a();
        _b = parm.b();
        _c = parm.c();
        init();
    }

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

/**
     * Returns a random variate distributed according to the
     * triangle distribution.
     */
    template<class Engine>
    result_type operator()(Engine& eng)
    {
        using std::sqrt;
        result_type u = uniform_01<result_type>()(eng);
        if( u <= q1 )
            return _a + p1*sqrt(u);
        else
        return _c - d3*sqrt(d2*u-d1);
    }

/**
     * Returns a random variate distributed according to the
     * triangle distribution with parameters specified by param.
     */
    template<class Engine>
    result_type operator()(Engine& eng, const param_type& parm)
    { return triangle_distribution(parm)(eng); }

/** Writes the distribution to a @c std::ostream. */
    BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, triangle_distribution, td)
    {
        os << td.param();
        return os;
    }

/** Reads the distribution from a @c std::istream. */
    BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, triangle_distribution, td)
    {
        param_type parm;
        if(is >> parm) {
            td.param(parm);
        }
        return is;
    }

/**
     * Returns true if the two distributions will produce identical
     * sequences of values given equal generators.
     */
    BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(triangle_distribution, lhs, rhs)
    { return lhs._a == rhs._a && lhs._b == rhs._b && lhs._c == rhs._c; }

/**
     * Returns true if the two distributions may produce different
     * sequences of values given equal generators.
     */
    BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(triangle_distribution)

private:
    /// \cond show_private
    void init()
    {
        using std::sqrt;
        d1 = _b - _a;
        d2 = _c - _a;
        d3 = sqrt(_c - _b);
        q1 = d1 / d2;
        p1 = sqrt(d1 * d2);
    }
    /// \endcond

RealType _a, _b, _c;
    RealType d1, d2, d3, q1, p1;
};

} // namespace random

using random::triangle_distribution;

} // namespace boost

#endif // BOOST_RANDOM_TRIANGLE_DISTRIBUTION_HPP

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