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Class template piecewise_linear_distribution

boost::random::piecewise_linear_distribution

Synopsis

// In header: <boost/random/piecewise_linear_distribution.hpp>

template<typename RealType> 
class piecewise_linear_distribution {
public:
  // types
  typedef  ; 
  typedef     ;

  // member classes/structs/unions

  class param_type {
  public:
    // types
    typedef piecewise_linear_distribution ;

    // construct/copy/destruct
    ();
    template<typename IntervalIter, typename WeightIter> 
      (, , );
    template<typename T, typename F> 
      (, );
    template<typename IntervalRange, typename WeightRange> 
      (, );
    template<typename F> (, , , );

    // friend functions
    template<typename CharT, typename Traits> 
       
      (, param_type &);
    template<typename CharT, typename Traits> 
       
      (, param_type &);
     (param_type &, param_type &);
     (param_type &, param_type &);

    // public member functions
     () ;
     () ;
  };

  // construct/copy/destruct
  ();
  template<typename IntervalIter, typename WeightIter> 
    (, , );
  template<typename T, typename F> 
    (, );
  template<typename IntervalsRange, typename WeightsRange> 
    (, 
                                  );
  template<typename F> 
    (, , , );
  (param_type &);

  // public member functions
  template<typename URNG>  () ;
  template<typename URNG> 
     (, param_type &) ;
   () ;
   () ;
   () ;
   () ;
  param_type () ;
   (param_type &);
   ();

  // friend functions
  template<typename CharT, typename Traits> 
     
    (, 
               piecewise_linear_distribution &);
  template<typename CharT, typename Traits> 
     
    (, 
               piecewise_linear_distribution &);
   (piecewise_linear_distribution &, 
                  piecewise_linear_distribution &);
   (piecewise_linear_distribution &, 
                  piecewise_linear_distribution &);
};

Description

The class piecewise_linear_distribution models a random distribution .

piecewise_linear_distribution public construct/copy/destruct

  1. ();

    Creates a new piecewise_linear_distribution that produces values uniformly distributed in the range [0, 1).

  2. template<typename IntervalIter, typename WeightIter> 
      ( first_interval, 
                                     last_interval, 
                                     first_weight);

    Constructs a piecewise_linear_distribution from two iterator ranges containing the interval boundaries and the weights at the boundaries. If there are fewer than two boundaries, then this is equivalent to the default constructor and creates a distribution that produces values uniformly distributed in the range [0, 1).

    The values of the interval boundaries must be strictly increasing, and the number of weights must be equal to the number of interval boundaries. If there are extra weights, they are ignored.

    For example,

    produces a triangle distribution.

  3. template<typename T, typename F> 
      ( il,  f);

    Constructs a piecewise_linear_distribution from an initializer_list containing the interval boundaries and a unary function specifying the weights. Each weight is determined by calling the function at the corresponding interval boundary.

    If the initializer_list contains fewer than two elements, this is equivalent to the default constructor and the distribution will produce values uniformly distributed in the range [0, 1).

  4. template<typename IntervalsRange, typename WeightsRange> 
      ( intervals_arg, 
                                     weights_arg);

    Constructs a piecewise_linear_distribution from Boost.Range ranges holding the interval boundaries and the weights. If there are fewer than two interval boundaries, this is equivalent to the default constructor and the distribution will produce values uniformly distributed in the range [0, 1). The number of weights must be equal to the number of interval boundaries.

  5. template<typename F> 
      ( nw,  xmin,  xmax, 
                                     f);

    Constructs a piecewise_linear_distribution that approximates a function. The range of the distribution is [xmin, xmax). This range is divided into nw equally sized intervals and the weights are found by calling the unary function f on the interval boundaries.

  6. (param_type & param);

    Constructs a piecewise_linear_distribution from its parameters.

piecewise_linear_distribution public member functions

  1. template<typename URNG>  ( urng) ;

    Returns a value distributed according to the parameters of the piecewise_linear_distribution.

  2. template<typename URNG> 
       ( urng, param_type & param) ;

    Returns a value distributed according to the parameters specified by param.

  3.  () ;

    Returns the smallest value that the distribution can produce.

  4.  () ;

    Returns the largest value that the distribution can produce.

  5.  () ;

    Returns a vector containing the probability densities at the interval boundaries.

  6.  () ;

    Returns a vector containing the interval boundaries.

  7. param_type () ;

    Returns the parameters of the distribution.

  8.  (param_type & param);

    Sets the parameters of the distribution.

  9.  ();

    Effects: Subsequent uses of the distribution do not depend on values produced by any engine prior to invoking reset.

piecewise_linear_distribution friend functions

  1. template<typename CharT, typename Traits> 
       
      ( os, 
                 piecewise_linear_distribution & pld);

    Writes a distribution to a std::ostream.

  2. template<typename CharT, typename Traits> 
       
      ( is, 
                 piecewise_linear_distribution & pld);

    Reads a distribution from a std::istream

  3.  (piecewise_linear_distribution & lhs, 
                    piecewise_linear_distribution & rhs);

    Returns true if the two distributions will return the same sequence of values, when passed equal generators.

  4.  (piecewise_linear_distribution & lhs, 
                    piecewise_linear_distribution & rhs);

    Returns true if the two distributions may return different sequences of values, when passed equal generators.


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