<div class="t-tr-text">C + +: conceitos<div class="t-tr-dropdown"><div><div><div class="t-tr-dropdown-arrow-border"></div><div class="t-tr-dropdown-arrow"></div><div class="t-tr-dropdown-h">Original:</div><div class="t-tr-dropdown-orig">C++ concepts:</div><div class="t-tr-dropdown-notes">The text has been machine-translated via [http://translate.google.com Google Translate].<br/> You can help to correct and verify the translation. Click [http://en.cppreference.com/w/Cppreference:MachineTranslations here] for instructions.</div></div></div></div></div> RandomNumberDistribution

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A RandomNumberDistribution é um objeto função retornando números aleatórios de acordo com um função densidade de probabilidade p(x) ou um distribuição de probabilidade discreta P(x
i).

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Requisitos

D é uma classe que satisfaça os requisitos RandomNumberDistribution. Ele deve também satisfazer a CopyConstructible e requisitos CopyAssignable.
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D is a class meeting the RandomNumberDistribution requirements. It shall also satisfy the CopyConstructible and CopyAssignable requirements.
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T é o result_type associado.
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T is the associated result_type.
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P é o param_type associado. Ele deve satisfazer os CopyConstructible, CopyAssignable, requisitos e EqualityComparable.
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d é um objeto de D e x, y são objetos potencialmente const de D.
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d is an object of D and x,y are potentially const objects of D.
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p é um valor constante de possivelmente P.
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p is a possibly constant value of P.
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g, g1, g2 são lvalues atender o conceito UniformRandomNumberGenerator.
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os é um lvalue de std::basic_ostream.
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os is an lvalue of std::basic_ostream.
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is é um lvalue de std::basic_istream.
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is is an lvalue of std::basic_istream.
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Expression	Type	Notes	Complexity
`D::result_type`	`T`	An arithmetic type	compile-time
`D::param_type`	`P`		compile-time
`D()`			constant
`D(p)`			Same as `p`'s construction
`d.reset()`	`void`	Resets the internal state of the distribution object. After a call to this function, the next call to `operator()` on the distribution object will not be dependent on previous calls to `operator()`.	constant
`x.param()`	`P`		No worse than `D(p)`
`d.param(p)`	`void`		No worse than `D(p)`
`d(g)`	`T`	`d(g, d.param())`	Same as `d(g, d.param())`
`d(g,p)`	`T`	When called with the same `g` and `p` parameter it returns a sequence of numbers distributed according to p(x;`p`) or P(x i;`p`)	Amortized constant number of incovations of `g`
`x.min()`	`T`	The greatest lower bound returned by `operator()`	constant
`x.max()`	`T`	The least upper bound returned by `operator()`	constant
`x == y`	`bool`		constant
`y != y`	`bool`	`!(x == y)`	constant
`os << x`	Reference to the type of `os`	Writes a textual representation of the distribution parameters and internal state to `os` as textual representation. The formatting flags and fill character of `os` are unchanged.
`is >> d`	Reference to the type of `is`	Restores the distribution parameters and internal state with data read from `is`. The formatting flags of `is` are unchanged. The data must have been written using a stream with the same locale, `CharT` and `Traits` template parameters, otherwise the behavior is undefined. If bad input is encountered, `is.setstate(std::ios::failbit)` is called, which may throw std::ios_base::failure. `d` is unchanged in that case.