Linear congruential generators are one of the oldest and simplest methods: seed = (a * seed + c) % m; return seed; Only a few instruction with basic arithmetic operations, that's all you need. Mind that this algorithm works fine only if a, c and m are chosen in a particular way!

Oct 13, 2010 · In your head you can do "semantic" random number generation :-) Like taking random word, and calculating some metric out of it, repeat until you'll get number with reasonable length. For example, word "exercise" might get converted to 10100101b (you can see my conversion idea here).

Cipher algorithms and cryptographic hashes can be used as very high-quality pseudorandom number generators. However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators.

May 22, 2013 · If you just need a reasonably random generator - for example to make things appear random in a game - you can use the classic "Linear Congruent Generator" which is trivial to write and produces pretty random looking output.

This project provides simplerandom, simple pseudo-random number generators. Features: Main API functions: Seed; Generate "next" random value "Discard" also known as "jumpahead" to skip the generator ahead by 'n' samples. Mix real random data into the generator state; Simple algorithms that are easily ported to different languages. Safe seeding.

Jan 30, 2019 · In this article I’ll show you how to generate random numbers using four different algorithms: the Lehmer algorithm, the linear congruential algorithm, the Wichmann-Hill algorithm and the lagged Fibonacci algorithm.

Oct 26, 2020 · Let's consider two principal methods used to generate random numbers. The first method is based on a physical process, and harvests the source of randomness from some physical phenomenon that is expected to be random. …

PCG is a family of simple fast space-efficient statistically good algorithms for random number generation. Unlike many general-purpose RNGs, they are also hard to predict.

Aug 26, 2024 · A pseudo-random number generator (PRNG) is an algorithm that generates a sequence of numbers whose properties simulate a sequence of random numbers. It’s easy to write a basic PRNG algorithm. Here’s a short PRNG example that generates 100 16-bit pseudo-random numbers:

THIS IS THE BEST KNOWN RANDOM NUMBER GENERATOR AVAILABLE. It passes ALL of the tests for random number generators and has a period of 2^144, is completely portable (gives bit identical results on all machines with at least 24 …