The StdRandom class provides static methods for generating random number from various discrete and continuous distributions, including uniform, Bernoulli, geometric, Gaussian, exponential, Pareto, Poisson, and Cauchy. It also provides method for shuffling an array or subarray and generating random permutations.

Generates random bytes and places them into a user-supplied byte array.

Below is the syntax highlighted version of StdRandom.java from § Standard Libraries. Here is the Javadoc.

* *****/ import java.util.Random; /** * The {@code StdRandom} class provides static methods for generating * random number from various discrete and continuous distributions, * including uniform, Bernoulli, geometric, Gaussian, exponential, Pareto, * Poisson, and Cauchy.

This class provides methods for generating random number from various distributions. For additional documentation, see Section 2.2 of Introduction to Programming in Java: An Interdisciplinary Approach by Robert Sedgewick and Kevin Wayne.

Feb 25, 2014 · The short answer is that between 0 and N-1 does not create a uniformly random distribution. When designing a shuffle, you want to make sure that all possible random combinations of value placement are equally likely, and the 0 to N-1 makes some outcomes more likely than others.

Nov 5, 2023 · Java’s Random API, part of the java.util package, provides a foundation for introducing this randomness in a controlled and predictable manner. Let's explore how this API works, understand...

May 7, 2019 · Random class is used to generate pseudo-random numbers in java. An instance of this class is thread-safe. The instance of this class is however cryptographically insecure. This class provides various method calls to generate different random data types such as float, double, int. Constructors: Declaration: extends Object. implements Serializable.

* - Relies on randomness of nextDouble() method in java.util.Random * to generate pseudorandom numbers in [0, 1). * - This library allows you to set and get the pseudorandom number seed.

nextGaussian() will draw samples from a normal distribution with mean 0 and std-deviation 1, so if you want mean 1 hour and std-deviation 15 minutes you'll need to call it as nextGaussian()*15+60. From the docs for Random.nextGaussian(): UPDATE for Java 17. nextGaussian(mean, stdev) is available since Java 17.