Java uses Colt Random number generation, Normal distribution, uniform distribution
Colt is a class library for Java data analysis and scientific computing, which contains various methods and distribution models for Random number generation. Colt can be managed through Maven for dependencies, and by adding the following dependencies to the pom.xml file, Colt can be introduced:
<dependency>
<groupId>colt</groupId>
<artifactId>colt</artifactId>
<version>1.2.0</version>
</dependency>
The core class of Colt is the Random class in the cern.jet.random package, which provides methods for generating random numbers of various distributions. Specifically, the cern.get.random package provides multiple Random number generation methods such as Normal distribution and Uniform.
The following is a complete Java code example that uses Colt to generate Normal distribution and uniformly distributed random numbers:
import cern.jet.random.Gaussian;
import cern.jet.random.Uniform;
public class RandomNumberGenerator {
public static void main(String[] args) {
//Generate random number of Normal distribution
Double mean=0.0// mean value
Double stdDev=1.0// standard deviation
Gaussian gaussian = new Gaussian(mean, stdDev, null);
double normalRandomNumber = gaussian.nextDouble();
//Generate uniformly distributed random numbers
Double min=0.0// minimum value
Double max=1.0// Maximum value
Uniform uniform = new Uniform(min, max, null);
double uniformRandomNumber = uniform.nextDouble();
//Print Results
System.out.println("Normal random number: " + normalRandomNumber);
System.out.println("Uniform random number: " + uniformRandomNumber);
}
}
The above code can generate Normal distribution and uniformly distributed random numbers by creating Gaussian and Uniform objects and calling the nextDouble() method. Then print out the generated random numbers.
Summary:
Colt is a powerful Java scientific computing class library, which provides rich Random number generation methods and distribution models. With Colt, we can easily generate Normal distribution and uniformly distributed random numbers. Colt has strong flexibility and performance, and provides rich mathematical and statistical functions, suitable for various scientific computing and data analysis tasks.