C++ concepts: RandomNumberDistribution

 

C++

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Utilities library

Strings library

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Algorithms library

Iterators library

Numerics library

Input/output library

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Regular expressions library (C++11)

Atomic operations library (C++11)

Thread support library (C++11)

Technical Specifications

 

C++ concepts

Basic
DefaultConstructible CopyAssignable CopyConstructible	MoveAssignable (C++11) MoveConstructible (C++11) Destructible
Layout
TrivialType (C++11) TriviallyCopyable (C++11)	StandardLayoutType (C++11) PODType
Library-Wide
EqualityComparable LessThanComparable Swappable (C++11) ValueSwappable (C++11)	NullablePointer (C++11) Hash (C++11) Allocator
Container
Container SequenceContainer ContiguousContainer (C++17) ReversibleContainer	AssociativeContainer AllocatorAwareContainer UnorderedAssociativeContainer (C++11)
Container Elements
DefaultInsertable (C++11) CopyInsertable (C++11) MoveInsertable (C++11)	EmplaceConstructible (C++11) Erasable (C++11)
Iterator
Iterator OutputIterator InputIterator	ForwardIterator BidirectionalIterator RandomAccessIterator ContiguousIterator (C++17)
Stream I/O
FormattedInputFunction UnformattedInputFunction	FormattedOutputFunction UnformattedOutputFunction
Random Numbers
SeedSequence (C++11) RandomNumberEngine (C++11)	RandomNumberDistribution (C++11) UniformRandomNumberGenerator (C++11) RandomNumberEngineAdaptor (C++11)
Concurrency
BasicLockable (C++11) Lockable (C++11) TimedLockable (C++11)	Mutex (C++11) TimedMutex (C++11) SharedMutex (C++17) SharedTimedMutex (C++14)
Other
CharTraits pos_type off_type Clock (C++11) BitmaskType	UnaryTypeTrait (C++11) BinaryTypeTrait (C++11) TransformationTrait (C++11) TrivialClock (C++11) LiteralType (C++11)

 

A RandomNumberDistribution is a function object returning random numbers according to a probability density function p(x) or a discrete probability distribution P(x
i).

Requirements

• D is a class meeting the RandomNumberDistribution requirements. It shall also satisfy the CopyConstructible and CopyAssignable requirements.
• T is the associated result_type.
• P is the associated param_type. It shall satisfy the CopyConstructible, CopyAssignable, and EqualityComparable requirements. It also has constructors that take the same arguments of the same types as the constructors of D and has member functions identical to the parameter-returning getters of D
• d is an object of D and x,y are potentially const objects of D.
• p is a possibly constant value of P.
• g,g1,g2 are lvalues meeting the UniformRandomNumberGenerator concept.
• os is an lvalue of std::basic_ostream.
• is is an lvalue of std::basic_istream.

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
x != 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.

Notes

The parameters of a distribution object may be changed either permanently, by using d.param(p) or just for the duration of a single operator() call, by using d(g,p).