I'm working on modernizing Rosetta Code's infrastructure. Starting with communications. Please accept this time-limited open invite to RC's Slack.. --Michael Mol (talk) 20:59, 30 May 2020 (UTC)

Random number generator

A random number generator picks numbers at chance from a distribution.

The most common type is a uniform generator, where each number has an equal chance. If a uniform generator yields decimal digits from 0 to 9, then each digit has a 10% chance. The other type is a weighted or biased generator, where the chances are not equal. A biased generator that yields 0 with 70% chance, yields 1 with 30% chance, would probably yield more zeros than ones.

True random numbers are impossible to predict. Many programs use pseudorandom numbers, which are not as good. A pseudorandom generator uses a formula and a state to calculate a sequence of numbers. Anyone who knows the formula and the state can predict those numbers.

Pseudorandom numbers can also have statistical problems. True random numbers are independent. A pseudorandom sequence may contain patterns where the values of some numbers change the probabilities of other numbers.