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  1. Class StdRandom - Princeton University

    The StdRandom class provides static methods for generating random number from various discrete and continuous distributions, including uniform, Bernoulli, geometric, Gaussian, …

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  2. Random (Java Platform SE 8 ) - Oracle

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

  3. StdRandom.java - Princeton University

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

  4. Introduction to Programming in Java · Computer Science

    * *****/ import java.util.Random; /** * The {@code StdRandom} class provides static methods for generating * random number from various discrete and continuous distributions, * including …

  5. StdRandom (Growing Tree API) - Princeton University

    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 …

  6. java - How stdrandom shuffle method works - Stack Overflow

    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 …

  7. Complete Java Random API Deep Dive - Medium

    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 …

  8. Java.util.Random class in Java - GeeksforGeeks

    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 …

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  9. AlgorithmsSedgewick/StdLib/StdRandom.java at master - GitHub

    * - 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 …

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  10. random - Java normal distribution - Stack Overflow

    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 …

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