tmp/tmpd8hk34o4/{from.md → to.md}
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##### Class template `gamma_distribution` <a id="rand.dist.pois.gamma">[[rand.dist.pois.gamma]]</a>
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A `gamma_distribution` random number distribution produces random
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numbers x > 0 distributed according to the probability density function
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$$
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\, \cdot \, x^{\, \alpha-1}
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\; \mbox{.}$$
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``` cpp
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template<class RealType = double>
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class gamma_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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// constructors and reset functions
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-
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explicit gamma_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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@@ -36,17 +35,17 @@ template<class RealType = double>
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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 gamma_distribution(RealType alpha
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```
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*
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*
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``` cpp
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RealType alpha() const;
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```
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##### Class template `gamma_distribution` <a id="rand.dist.pois.gamma">[[rand.dist.pois.gamma]]</a>
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A `gamma_distribution` random number distribution produces random
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numbers x > 0 distributed according to the probability density function
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$$p(x\,|\,\alpha,\beta) =
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\frac{e^{-x/\beta}}{\beta^{\alpha} \cdot \Gamma(\alpha)} \, \cdot \, x^{\, \alpha-1}
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\text{ .}$$
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``` cpp
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template<class RealType = double>
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class gamma_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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// constructors and reset functions
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gamma_distribution() : gamma_distribution(1.0) {}
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explicit gamma_distribution(RealType alpha, RealType beta = 1.0);
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explicit gamma_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 gamma_distribution(RealType alpha, RealType beta = 1.0);
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```
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*Preconditions:* 0 < `alpha` and 0 < `beta`.
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*Remarks:* `alpha` and `beta` correspond to the parameters of the
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distribution.
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``` cpp
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RealType alpha() const;
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```
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