tmp/tmp5lbpthqs/{from.md → to.md}
RENAMED
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##### Class template `cauchy_distribution` <a id="rand.dist.norm.cauchy">[[rand.dist.norm.cauchy]]</a>
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A `cauchy_distribution` random number distribution produces random
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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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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(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 +33,17 @@ 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 cauchy_distribution(RealType a
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```
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*
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*
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-
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``` cpp
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RealType a() const;
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```
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##### Class template `cauchy_distribution` <a id="rand.dist.norm.cauchy">[[rand.dist.norm.cauchy]]</a>
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A `cauchy_distribution` random number distribution produces random
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numbers x distributed according to the probability density function
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$$p(x\,|\,a,b) = \left(\pi b \left(1 + \left(\frac{x-a}{b} \right)^2 \, \right)\right)^{-1} \text{ .}$$
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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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cauchy_distribution() : cauchy_distribution(0.0) {}
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explicit cauchy_distribution(RealType a, 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 max() const;
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};
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```
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``` cpp
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explicit cauchy_distribution(RealType a, RealType b = 1.0);
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```
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*Preconditions:* 0 < `b`.
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*Remarks:* `a` and `b` correspond to the respective parameters of the
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distribution.
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``` cpp
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RealType a() const;
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```
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