OpenCV 4.10.0-dev
Open Source Computer Vision
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cv::RNG_MT19937 Class Reference

Mersenne Twister random number generator. More...

#include <opencv2/core.hpp>

Collaboration diagram for cv::RNG_MT19937:

Public Member Functions

 RNG_MT19937 ()
 
 RNG_MT19937 (unsigned s)
 
unsigned next ()
 
 operator double ()
 
 operator float ()
 
 operator unsigned ()
 
unsigned operator() ()
 
unsigned operator() (unsigned N)
 
void seed (unsigned s)
 
double uniform (double a, double b)
 returns uniformly distributed double-precision floating-point random number from [a,b) range
 
float uniform (float a, float b)
 returns uniformly distributed floating-point random number from [a,b) range
 
int uniform (int a, int b)
 returns uniformly distributed integer random number from [a,b) range
 

Detailed Description

Mersenne Twister random number generator.

Inspired by http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/MT2002/CODES/mt19937ar.c

Todo
document

Constructor & Destructor Documentation

◆ RNG_MT19937() [1/2]

cv::RNG_MT19937::RNG_MT19937 ( )

◆ RNG_MT19937() [2/2]

cv::RNG_MT19937::RNG_MT19937 ( unsigned s)

Member Function Documentation

◆ next()

unsigned cv::RNG_MT19937::next ( )

◆ operator double()

cv::RNG_MT19937::operator double ( )

◆ operator float()

cv::RNG_MT19937::operator float ( )

◆ operator unsigned()

cv::RNG_MT19937::operator unsigned ( )

◆ operator()() [1/2]

unsigned cv::RNG_MT19937::operator() ( )

◆ operator()() [2/2]

unsigned cv::RNG_MT19937::operator() ( unsigned N)

◆ seed()

void cv::RNG_MT19937::seed ( unsigned s)

◆ uniform() [1/3]

double cv::RNG_MT19937::uniform ( double a,
double b )

returns uniformly distributed double-precision floating-point random number from [a,b) range

◆ uniform() [2/3]

float cv::RNG_MT19937::uniform ( float a,
float b )

returns uniformly distributed floating-point random number from [a,b) range

◆ uniform() [3/3]

int cv::RNG_MT19937::uniform ( int a,
int b )

returns uniformly distributed integer random number from [a,b) range


The documentation for this class was generated from the following file: