tmp/tmppzjmf4ub/{from.md → to.md}
RENAMED
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##### Class template `lognormal_distribution` <a id="rand.dist.norm.lognormal">[[rand.dist.norm.lognormal]]</a>
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A `lognormal_distribution` random number distribution produces random
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numbers x > 0 distributed according to the probability density function
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$$
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{s x \sqrt{2 \pi}}
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\cdot
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\exp{\left(- \, \frac{(\ln{x} - m)^2}
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{2 s^2}
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\right)
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}
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\; \mbox{.}$$
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``` cpp
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template<class RealType = double>
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class lognormal_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 lognormal_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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@@ -41,17 +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 lognormal_distribution(RealType m
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```
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*
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*
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``` cpp
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RealType m() const;
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```
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##### Class template `lognormal_distribution` <a id="rand.dist.norm.lognormal">[[rand.dist.norm.lognormal]]</a>
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A `lognormal_distribution` random number distribution produces random
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numbers x > 0 distributed according to the probability density function
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$$p(x\,|\,m,s) = \frac{1}{s x \sqrt{2 \pi}}
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\cdot \exp{\left(-\frac{(\ln{x} - m)^2}{2 s^2}\right)}
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\text{ .}$$
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``` cpp
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template<class RealType = double>
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class lognormal_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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lognormal_distribution() : lognormal_distribution(0.0) {}
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explicit lognormal_distribution(RealType m, RealType s = 1.0);
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explicit lognormal_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 lognormal_distribution(RealType m, RealType s = 1.0);
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```
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*Preconditions:* 0 < `s`.
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*Remarks:* `m` and `s` correspond to the respective parameters of the
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distribution.
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``` cpp
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RealType m() const;
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```
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