From Jason Turner

[rand.dist.samp.plinear]

C++14 → C++17 1.5 KB 19 lines
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Archived: C++14 | C++17
Markdown: C++14 | C++17
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  1. tmp/tmpu3j24z74/{from.md → to.md} +7 -8
tmp/tmpu3j24z74/{from.md → to.md} RENAMED
@@ -22,16 +22,15 @@ relation shall hold: $$%
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  \cdot \sum_{k=0}^{n-1} (w_k + w_{k+1}) \cdot (b_{k+1} - b_k)
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  \; \mbox{.}$$
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  ``` cpp
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  template<class RealType = double>
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- class piecewise_linear_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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  piecewise_linear_distribution();
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  template<class InputIteratorB, class InputIteratorW>
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  piecewise_linear_distribution(InputIteratorB firstB, InputIteratorB lastB,
@@ -42,14 +41,14 @@ public:
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  piecewise_linear_distribution(size_t nw, RealType xmin, RealType xmax, UnaryOperation fw);
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  explicit piecewise_linear_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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  vector<result_type> intervals() const;
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  vector<result_type> densities() const;
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  param_type param() const;
 
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  \cdot \sum_{k=0}^{n-1} (w_k + w_{k+1}) \cdot (b_{k+1} - b_k)
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  \; \mbox{.}$$
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  ``` cpp
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  template<class RealType = double>
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+ class piecewise_linear_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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  piecewise_linear_distribution();
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  template<class InputIteratorB, class InputIteratorW>
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  piecewise_linear_distribution(InputIteratorB firstB, InputIteratorB lastB,
 
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  piecewise_linear_distribution(size_t nw, RealType xmin, RealType xmax, UnaryOperation fw);
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  explicit piecewise_linear_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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  vector<result_type> intervals() const;
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  vector<result_type> densities() const;
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  param_type param() const;