From Jason Turner

[rand.dist.norm.cauchy]

C++14 → C++17 1.3 KB 18 lines
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Archived: C++14 | C++17
Markdown: C++14 | C++17
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  1. tmp/tmpvcm32xzo/{from.md → to.md} +7 -8
tmp/tmpvcm32xzo/{from.md → to.md} RENAMED
@@ -6,27 +6,26 @@ numbers x distributed according to the probability density function $$%
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  = \left( \pi b \left( 1 + \left( \frac{x-a}{b} \right)^2 \;\right)\right)^{-1}
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  \; \mbox{.}$$
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  ``` cpp
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  template<class RealType = double>
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- class cauchy_distribution
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- {
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  public:
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  // types
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- typedef RealType result_type;
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- typedef unspecified param_type;
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  // constructor and reset functions
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  explicit cauchy_distribution(RealType a = 0.0, RealType b = 1.0);
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  explicit cauchy_distribution(const param_type& parm);
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  void reset();
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  // generating functions
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- template<class URNG>
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- result_type operator()(URNG& g);
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- template<class URNG>
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- result_type operator()(URNG& g, const param_type& parm);
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  // property functions
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  RealType a() const;
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  RealType b() const;
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  param_type param() const;
 
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  = \left( \pi b \left( 1 + \left( \frac{x-a}{b} \right)^2 \;\right)\right)^{-1}
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  \; \mbox{.}$$
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  ``` cpp
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  template<class RealType = double>
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+ class cauchy_distribution {
 
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  public:
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  // types
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+ using result_type = RealType;
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+ using param_type = unspecified;
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  // constructor and reset functions
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  explicit cauchy_distribution(RealType a = 0.0, RealType b = 1.0);
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  explicit cauchy_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 operator()(URBG& g);
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+ template<class URBG>
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+ result_type operator()(URBG& g, const param_type& parm);
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  // property functions
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  RealType a() const;
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  RealType b() const;
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  param_type param() const;