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Random number generators are important in many kinds of technical applications, including physics, engineering or mathematical computer studies (e.g., Monte Carlo simulations), cryptography and gambling (on game servers ). This list includes many common types, regardless of quality or applicability to a given use case.
Wikipedia:Random. WP:RAN. On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article.
A pseudorandom number generator (PRNG), also known as a deterministic random bit generator (DRBG), is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers.
"Give me the man and I will give you the case against him" (Polish: Dajcie mi człowieka, a paragraf się znajdzie; translated to English more literally as "give me the man; there'll be a paragraph for him", Russian: Был бы человек, а статья найдется ("If there is a person, there will be an article [in the criminal code]"), also interpreted as "give me the man, and I ...
Random seed. A random seed (or seed state, or just seed) is a number (or vector) used to initialize a pseudorandom number generator . For a seed to be used in a pseudorandom number generator, it does not need to be random.
Pseudorandom generator. In theoretical computer science and cryptography, a pseudorandom generator (PRG) for a class of statistical tests is a deterministic procedure that maps a random seed to a longer pseudorandom string such that no statistical test in the class can distinguish between the output of the generator and the uniform distribution.
Multiplexing. Code-division multiple access ( CDMA) is a channel access method used by various radio communication technologies. CDMA is an example of multiple access, where several transmitters can send information simultaneously over a single communication channel. This allows several users to share a band of frequencies (see bandwidth ).
A random variable is the simplest type of random element. It is a map is a measurable function from the set of possible outcomes to . As a real-valued function, often describes some numerical quantity of a given event. E.g. the number of heads after a certain number of coin flips; the heights of different people.
unsigned uniform (unsigned m); /* Returns a random integer 0 <= uniform(m) <= m-1 with uniform distribution */ void initialize_and_permute (unsigned permutation [], unsigned n) {unsigned i; for (i = 0; i <= n-2; i ++) {unsigned j = i + uniform (n-i); /* A random integer such that i ≤ j < n */ swap (permutation [i], permutation [j]); /* Swap ...
In mathematics, random graph is the general term to refer to probability distributions over graphs. Random graphs may be described simply by a probability distribution, or by a random process which generates them. The theory of random graphs lies at the intersection between graph theory and probability theory.