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Class template piecewise_constant_distribution

boost::random::piecewise_constant_distribution

Synopsis

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

template<typename RealType = double, typename WeightType = double> 
class piecewise_constant_distribution {
public:
  // types
  typedef std::size_t input_type; 
  typedef RealType    result_type;

  // member classes/structs/unions

  class param_type {
  public:
    // types
    typedef piecewise_constant_distribution distribution_type;

    // construct/copy/destruct
    param_type();
    template<typename IntervalIter, typename WeightIter> 
      param_type(IntervalIter, IntervalIter, WeightIter);
    template<typename T, typename F> 
      param_type(const std::initializer_list< T > &, F);
    template<typename IntervalRange, typename WeightRange> 
      param_type(const IntervalRange &, const WeightRange &);
    template<typename F> param_type(std::size_t, RealType, RealType, F);

    // friend functions
    template<typename CharT, typename Traits> 
      friend std::basic_ostream< CharT, Traits > & 
      operator<<(std::basic_ostream< CharT, Traits > &, const param_type &);
    template<typename CharT, typename Traits> 
      friend std::basic_istream< CharT, Traits > & 
      operator>>(std::basic_istream< CharT, Traits > &, const param_type &);
    friend bool operator==(const param_type &, const param_type &);
    friend bool operator!=(const param_type &, const param_type &);

    // public member functions
    std::vector< RealType > intervals() const;
    std::vector< RealType > densities() const;
  };

  // construct/copy/destruct
  piecewise_constant_distribution();
  template<typename IntervalIter, typename WeightIter> 
    piecewise_constant_distribution(IntervalIter, IntervalIter, WeightIter);
  template<typename T, typename F> 
    piecewise_constant_distribution(std::initializer_list< T >, F);
  template<typename IntervalsRange, typename WeightsRange> 
    piecewise_constant_distribution(const IntervalsRange &, 
                                    const WeightsRange &);
  template<typename F> 
    piecewise_constant_distribution(std::size_t, RealType, RealType, F);
  explicit piecewise_constant_distribution(const param_type &);

  // public member functions
  template<typename URNG> RealType operator()(URNG &) const;
  template<typename URNG> 
    RealType operator()(URNG &, const param_type &) const;
  result_type min() const;
  result_type max() const;
  std::vector< RealType > densities() const;
  std::vector< RealType > intervals() const;
  param_type param() const;
  void param(const param_type &);
  void reset();

  // friend functions
  template<typename CharT, typename Traits> 
    friend std::basic_ostream< CharT, Traits > & 
    operator<<(std::basic_ostream< CharT, Traits > &, 
               const piecewise_constant_distribution &);
  template<typename CharT, typename Traits> 
    friend std::basic_istream< CharT, Traits > & 
    operator>>(std::basic_istream< CharT, Traits > &, 
               const piecewise_constant_distribution &);
  friend bool operator==(const piecewise_constant_distribution &, 
                         const piecewise_constant_distribution &);
  friend bool operator!=(const piecewise_constant_distribution &, 
                         const piecewise_constant_distribution &);
};

Description

The class piecewise_constant_distribution models a random distribution .

piecewise_constant_distribution public construct/copy/destruct

  1. piecewise_constant_distribution();

    Creates a new piecewise_constant_distribution with a single interval, [0, 1).

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

    Constructs a piecewise_constant_distribution from two iterator ranges containing the interval boundaries and the interval weights. If there are less than two boundaries, then this is equivalent to the default constructor and creates a single interval, [0, 1).

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

    For example,

    * double intervals[] = { 0.0, 1.0, 4.0 };
    * double weights[] = { 1.0, 1.0 };
    * piecewise_constant_distribution<> dist(
    *     &intervals[0], &intervals[0] + 3, &weights[0]);
    * 
    

    The distribution has a 50% chance of producing a value between 0 and 1 and a 50% chance of producing a value between 1 and 4.

  3. template<typename T, typename F> 
      piecewise_constant_distribution(std::initializer_list< T > il, F f);

    Constructs a piecewise_constant_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 midpoint of the corresponding interval.

    If the initializer_list contains less 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> 
      piecewise_constant_distribution(const IntervalsRange & intervals_arg, 
                                      const WeightsRange & weights_arg);

    Constructs a piecewise_constant_distribution from Boost.Range ranges holding the interval boundaries and the weights. If there are less 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 one less than the number of interval boundaries.

  5. template<typename F> 
      piecewise_constant_distribution(std::size_t nw, RealType xmin, 
                                      RealType xmax, F f);

    Constructs a piecewise_constant_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 midpoints of the intervals.

  6. explicit piecewise_constant_distribution(const param_type & param);

    Constructs a piecewise_constant_distribution from its parameters.

piecewise_constant_distribution public member functions

  1. template<typename URNG> RealType operator()(URNG & urng) const;

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

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

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

  3. result_type min() const;

    Returns the smallest value that the distribution can produce.

  4. result_type max() const;

    Returns the largest value that the distribution can produce.

  5. std::vector< RealType > densities() const;

    Returns a vector containing the probability density over each interval.

  6. std::vector< RealType > intervals() const;

    Returns a vector containing the interval boundaries.

  7. param_type param() const;

    Returns the parameters of the distribution.

  8. void param(const param_type & param);

    Sets the parameters of the distribution.

  9. void reset();

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

piecewise_constant_distribution friend functions

  1. template<typename CharT, typename Traits> 
      friend std::basic_ostream< CharT, Traits > & 
      operator<<(std::basic_ostream< CharT, Traits > & os, 
                 const piecewise_constant_distribution & pcd);

    Writes a distribution to a std::ostream.

  2. template<typename CharT, typename Traits> 
      friend std::basic_istream< CharT, Traits > & 
      operator>>(std::basic_istream< CharT, Traits > & is, 
                 const piecewise_constant_distribution & pcd);

    Reads a distribution from a std::istream

  3. friend bool operator==(const piecewise_constant_distribution & lhs, 
                           const piecewise_constant_distribution & rhs);

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

  4. friend bool operator!=(const piecewise_constant_distribution & lhs, 
                           const piecewise_constant_distribution & rhs);

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


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