From Jason Turner

[rand.dist.bern.bernoulli]

C++17 → C++20 1.9 KB 26 lines
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Markdown: C++17 | C++20
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tmp/tmp434szjbg/{from.md → to.md} RENAMED
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  ##### Class `bernoulli_distribution` <a id="rand.dist.bern.bernoulli">[[rand.dist.bern.bernoulli]]</a>
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  A `bernoulli_distribution` random number distribution produces `bool`
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- values b distributed according to the discrete probability function $$%
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- P(b\,|\,p)
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- = \left\{ \begin{array}{lcl}
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- p & \mbox{if} & b = \tcode{true} \\
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- 1-p & \mbox{if} & b = \tcode{false}
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- \end{array}\right.
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- \; \mbox{.}$$
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  ``` cpp
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  class bernoulli_distribution {
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  public:
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  // types
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  using result_type = bool;
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  using param_type = unspecified;
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  // constructors and reset functions
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- explicit bernoulli_distribution(double p = 0.5);
 
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  explicit bernoulli_distribution(const param_type& parm);
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  void reset();
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  // generating functions
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  template<class URBG>
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  result_type max() const;
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  };
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  ```
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  ``` cpp
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- explicit bernoulli_distribution(double p = 0.5);
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  ```
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- *Requires:* 0 ≤ `p` ≤ 1.
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- *Effects:* Constructs a `bernoulli_distribution` object; `p` corresponds
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- to the parameter of the distribution.
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  ``` cpp
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  double p() const;
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  ```
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  ##### Class `bernoulli_distribution` <a id="rand.dist.bern.bernoulli">[[rand.dist.bern.bernoulli]]</a>
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  A `bernoulli_distribution` random number distribution produces `bool`
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+ values b distributed according to the discrete probability function
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+ $$P(b\,|\,p) = \left\{ \begin{array}{ll}
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+ p & \text{ if $b = \tcode{true}$, or} \\
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+ 1 - p & \text{ if $b = \tcode{false}$.}
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+ \end{array}\right.$$
 
 
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  ``` cpp
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  class bernoulli_distribution {
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  public:
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  // types
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  using result_type = bool;
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  using param_type = unspecified;
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  // constructors and reset functions
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+ bernoulli_distribution() : bernoulli_distribution(0.5) {}
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+ explicit bernoulli_distribution(double p);
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  explicit bernoulli_distribution(const param_type& parm);
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  void reset();
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  // generating functions
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  template<class URBG>
 
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  result_type max() const;
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  };
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  ```
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  ``` cpp
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+ explicit bernoulli_distribution(double p);
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  ```
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+ *Preconditions:* 0 ≤ `p` ≤ 1.
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+ *Remarks:* `p` corresponds to the parameter of the distribution.
 
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  ``` cpp
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  double p() const;
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  ```
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