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2025-01-17 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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This article will explain in detail how C++ generates random numbers. The editor thinks it is very practical, so I share it with you as a reference. I hope you can get something after reading this article.
C library pseudorandom number generator
Rand
Srand
Most of the time it takes time to generate the seed of the random generator
Int GetRandomNum (int min, int max,int seed)
{
/ / srand ((unsigned) time (NULL)); / / generate seed
Srand (seed)
Return (rand ()% (max-min) + min)
}
Pseudorandom number generator introduced by cymbal 11. Random numbers are abstracted into two parts: random number engine and distribution. The engine is used to generate random numbers, and the distribution produces random numbers with a specific distribution.
The commonly used one is linear uniform distribution.
Uniform_int_distribution
Uniform_real_distribution
Std::random_device rd;// to generate a random number as a seed
Std::uniform_int_distribution uni_dist (0, 9999999); / / Random number generators in a specified range
Std::cout (std::uniform_int_distribution
< unsigned int >(0, maxRand))
Rand0Engine = make_shared (rd ())
Ranlux48Engine = make_shared (rd ())
}
Std::random_device rd
Std::shared_ptr mtEngine;//32-bit Mersenne Twister by Matsumoto and Nishimura, 1998
Std::shared_ptr mtEngine64; / / 64-bit Mersenne Twister by Matsumoto and Nishimura, 2000 (Matset rotation algorithm)
Std::shared_ptr rand0Engine
Std::shared_ptr ranlux48Engine
Std::shared_ptr > dist
}
Int main ()
{
Cout
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