I need to know a way to have the Gaussian Distribution of 50 numbers. I know of the Boost library, which generates random numbers. In my case, I don\'t need random numbers; I ne
As of C++11 there is a normal (gaussian) distribution available in the standard library:
http://www.cplusplus.com/reference/random/normal_distribution/
The mean value and standard deviation are passed as arguments when creating it. The link above provides a good example:
// normal_distribution
#include
#include
int main()
{
const int nrolls=10000; // number of experiments
const int nstars=100; // maximum number of stars to distribute
std::default_random_engine generator;
std::normal_distribution distribution(5.0,2.0);
int p[10]={};
for (int i=0; i=0.0)&&(number<10.0)) ++p[int(number)];
}
std::cout << "normal_distribution (5.0,2.0):" << std::endl;
for (int i=0; i<10; ++i) {
std::cout << i << "-" << (i+1) << ": ";
std::cout << std::string(p[i]*nstars/nrolls,'*') << std::endl;
}
return 0;
}