oneapi::mkl::rng::uniform
(Continuous)¶
Generates random numbers with uniform distribution.
Syntax
template<typename Type = float, typename Method = uniform_method::by_default> class uniform { public: using method_type = Method; using result_type = Type; uniform(): uniform(static_cast<Type>(0.0), static_cast<Type>(1.0)); explicit uniform(Type a, Type b); explicit uniform(const param_type& pt); Type a() const; Type b() const; param_type param() const; void param(const param_type& pt); };
Devices supported: Host, CPU, and GPU.
Include Files
oneapi/mkl/rng.hpp
Description
The class object is used in oneapi::mkl::rng::generate function to provide random numbers uniformly distributed over the interval [
a
,b
), wherea
,b
are the left and right bounds of the interval, respectively, anda
,b∈R
;a
<b
.The probability density function is given by:
F_{a, b}(x) = \begin{cases} \frac{1}{b-a}, & x \in [a, b) 1, & x \notin [a, b) \end{cases}, - \infty < x < + \infty
The cumulative distribution function is as follows:
F_{a, b}(x) = \begin{cases} 0, & x < a \\ \frac{x-a}{b-a}, & a \leq x < b \\ 1, & x \geq b \end{cases}, -\infty < x < +\infty
Template Parameters
typename Type = float
Type of the produced values. The specific values are as follows:
float
double
typename Method = oneapi::mkl::rng::uniform_method::by_default
Generation method. The specific values are as follows:
oneapi::mkl::rng::uniform_method::standard
oneapi::mkl::rng::uniform_method::accurate
See brief descriptions of the methods in Distributions Template Parameter Method
Input Parameters
Name
Type
Description
a
Type (float, double)
Left bound
a
b
Type (float, double)
Right bound
b