boost::random::mt19937rng; boost::random::uniform_real_distribution<> uni(-1,1);vector<double> xrand(2* L*dim,1); rng.seed();for(inti =0; i <2* L * dim; i++) { xrand[i] = uni(rng); }map<string, DMatrix> arg; arg["lbx"] =-1; arg["ubx"] =1; arg["x0"] =...
我有一个简单的C++程序,具有意想不到的输出:#include<iostream>#include "boost/random/uniform_int_distribution.hpp" std::cout << sizeof(std::mt19937</em 浏览7提问于2020-08-26得票数 3 回答已采纳 2回答 C++ std::std 19937和rng状态保存/加载和可移植性 、、 我希望能够保存和加载RNG的状态,这...
#include <random>intmain() { std::uniform_int_distribution<int> rng_range( 0, 255 ); std::random_device rd; std::mt19937 rng_mt( rd() );intrandom_number = rng_range( rng_mt ); printf("Random number: %i", random_number );return0; } ...
我被告知这是一个很好的实践，任何随机引擎只需播种一次
Distribution models and data types are available for a random number generator (RNG) using a SYCL device API. 64-bit integer types for uniform distribution 8-bit and 16-bit integer types for Bernoulli distribution Beta and gamma distributions for float and double types SYCL Discrete Fourier Tra...