c++ uniform_real_distribution get same result
To generate the same result using the uniform_real_distribution
in C++, you would follow these steps:
Include the necessary header files: Begin by including the necessary header files in your C++ code. For the
uniform_real_distribution
class, you will need to include the<random>
header.Create a random number generator: Declare and initialize a random number generator object. C++ provides several random number generators, such as
std::default_random_engine
andstd::mt19937
. You can choose the one that suits your needs.Create a distribution: Create an instance of the
uniform_real_distribution
class. This class represents a distribution that produces random floating-point numbers in a specified range.Set the range: Set the range of the distribution by specifying the minimum and maximum values. The
uniform_real_distribution
constructor takes the minimum and maximum values as parameters.Generate random numbers: Use the random number generator and the distribution to generate random numbers. You can do this by calling the
operator()
function on the distribution object, passing the random number generator as an argument.Use the generated numbers: You can use the generated random numbers in your code as needed.
Here's an example code snippet that demonstrates these steps:
#include <random>
int main() {
// Step 2: Create a random number generator
std::default_random_engine generator;
// Step 3: Create a distribution
std::uniform_real_distribution<double> distribution(0.0, 1.0);
// Step 5: Generate random numbers
for (int i = 0; i < 5; i++) {
double random_number = distribution(generator);
// Step 6: Use the generated numbers
// Do something with the random number
}
return 0;
}
In this example, the uniform_real_distribution
is used to generate 5 random numbers between 0.0 and 1.0. The default_random_engine
is used as the random number generator. You can modify the code to suit your specific needs, such as changing the range or the number of random numbers generated.