As a workaround to generate values in this range, use uniform_real_distribution.复制 template<class RealType, size_t Bits, class Generator> RealType generate_canonical(Generator& Gen); ParametersRealType The floating point integral type. For possible types, see <random>. Bits The random ...
参数:generate_canonical()函数接受用作统一随机数生成器对象的单个参数g。它用于获取熵。 返回值:该函数返回范围为[0,1)的浮点值。 下面的程序说明了上面的C++模板 程序: // C++ program to illustrate generate_canonical() // function. #include using namespace std; int main() { // Obtain a root fr...
To generate enough entropy, generate_canonical() will call g() exactly kk times, where k=max(1,⌈blog2R⌉)k=max(1,⌈blog2R⌉) and b = std::min(Bits, std::size_t {std::numeric_limits<RealType>::digits}), R = g.max() - g.min() + 1. Parameters...
RealType generate_canonical( Generator& g ); (C++11 起) 生成范围 [0, 1) 中的随机浮点值。 为生成足够的熵, generate_canonical() 将准确调用 g() k 次,其中 k = \text{Max}(1, ⌈ b / log2 R ⌉) 且 b = std::min<std::size_t>(bits, std::numeric_limits<RealType>::digits...
generate_canonical是C++11中的一个随机数生成函数模板,可以生成范围在[0, 1)之间的浮点数。 函数原型 template <class RealType, unsigned int bits, class URNG> RealType generate_canonical(URNG& g); RealType:生成的随机数类型,通常为double或float。 bits:生成的随机数的精度,范围为[1, 64]之间,通常...
std::generate_canonical std::generate_canonical Defined in header <random> template< class RealType, size_t bits, class Generator > RealType generate_canonical( Generator& g ); (since C++11) 生成范围内的随机浮点数。[0;1%29。 为了产生足够的熵,generate_canonical()会打电话g()...
Projects4 Wiki Security Insights Additional navigation options New issue Avoid using wider types ingenerate_canonicalwhen the range of the random generator is a power of 2#4850 Merged StephanTLavavejmerged 1 commit intomicrosoft:mainfromstatementreply:generate_canonical ...
A. Haro, An algorithm to generate canonical transformations: application to normal forms, Physica D 167, 197-217 (2002).A` . Haro. An algorithm to generate canonical transformations: application to normal forms. Phys. D, 167(3-4):197-217, 2002....
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A. Haro, An algorithm to generate canonical transformations: application to normal forms, Physica D 167, 197-217 (2002).A` . Haro. An algorithm to generate canonical transformations: application to normal forms. Phys. D, 167(3-4):197-217, 2002....