TJUNGBLUT Math: Analysis of the principle of random number generation algorithm in the Java class library

TJUNGBLUT Math: Analysis of the principle of random number generation algorithm in the Java class library The random number has an important application in computer science. The Java class library provides a wealth of random number generating algorithms to meet different needs.This article will explore the principle of random number generation algorithm in the Java library and provide the corresponding Java code example. 1. Common random number generation methods The Java class library provides a variety of common random number generation methods, including pseudo -random number generators and real random number generators. Pseudo -random number generator: This generator is actually obtained through a series of calculations. Although it looks like randomly generated, the same sequence can be generated again through the same seeds.Common pseudo -random number generators in the Java class library include java.util.random class and java.util.concurrent.threadLocalRAndom class. Real random number generator: This generator uses a physical process to generate real random numbers, such as measuring atmospheric noise or radioactive decay.The Java class library provides the SecuriRANDOM class to generate real random numbers. 2. Principles and examples of Random class The Random class in Java is a pseudo -random number generator, which uses a 48 -bit seed to generate random numbers.The principle of the RANDOM class is to calculate the linear algorithm based on the value of the seed.The following is a simple Java code example, demonstrating the use of the Random class: import java.util.Random; public class RandomExample { public static void main(String[] args) { // Create a RANDOM instance Random random = new Random(); // Generate random integer int randomInt = random.nextInt(); // Generate a random integer within the specified range int randomInRange = random.nextInt(100); // Generate random floating points double randomDouble = random.nextDouble(); // Output results System.out.println ("Random integer:" + Randomint); System.out.println ("Random integer within the specified range:" + Randominrange); System.out.println ("Random floating point:" + Randomdouble); } } In the above example, we use the Random class to generate random integer, random integer within the specified range, and random floating point numbers. 3. Principles and examples of the SecurityMom class The Securityom class is a real random number generator in Java, which is based on the random source provided by the operating system.It uses impact algorithms to generate real random numbers.Below is a simple Java code example, demonstrating the use of the SecurityRANDOM class: import java.security.SecureRandom; public class SecureRandomExample { public static void main(String[] args) { // Create a Securerandom instance SecureRandom secureRandom = new SecureRandom(); // Generate random integer int randomInt = secureRandom.nextInt(); // Generate a random integer within the specified range int randomInRange = secureRandom.nextInt(100); // Generate random floating points double randomDouble = secureRandom.nextDouble(); // Output results System.out.println ("Random integer:" + Randomint); System.out.println ("Random integer within the specified range:" + Randominrange); System.out.println ("Random floating point:" + Randomdouble); } } In the above example, we use the SecurityMom class to generate random integer, random integer within the specified range, and random floating points. Summarize: This article discusses the principle of random number generation algorithms in the Java library, and provides code examples of the Random and Security of the Security.By using these classes, we can easily generate random numbers in the Java program to meet different needs.