tmp/tmpnmq0xucx/{from.md → to.md}
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##### Class template `exponential_distribution` <a id="rand.dist.pois.exp">[[rand.dist.pois.exp]]</a>
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An `exponential_distribution` random number distribution produces random
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numbers x > 0 distributed according to the probability density function
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$$
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p(x\,|\,\lambda)
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= \lambda e^{-\lambda x}
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\; \mbox{.}$$
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``` cpp
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template<class RealType = double>
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class exponential_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 exponential_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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@@ -34,17 +32,16 @@ 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 exponential_distribution(RealType lambda
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```
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*
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*
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corresponds to the parameter of the distribution.
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``` cpp
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RealType lambda() const;
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```
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##### Class template `exponential_distribution` <a id="rand.dist.pois.exp">[[rand.dist.pois.exp]]</a>
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An `exponential_distribution` random number distribution produces random
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numbers x > 0 distributed according to the probability density function
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$$p(x\,|\,\lambda) = \lambda e^{-\lambda x} \text{ .}$$
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``` cpp
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template<class RealType = double>
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class exponential_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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exponential_distribution() : exponential_distribution(1.0) {}
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explicit exponential_distribution(RealType lambda);
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explicit exponential_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 exponential_distribution(RealType lambda);
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```
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*Preconditions:* 0 < `lambda`.
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*Remarks:* `lambda` corresponds to the parameter of the distribution.
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``` cpp
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RealType lambda() const;
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```
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