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**Random**number generation is a process by which, often by means of a**random**number**generator**(RNG), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated. This means that the particular outcome sequence will contain some patterns detectable in hindsight but impossible to foresee.**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.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.A cryptographically secure

**pseudorandom**number**generator**(CSPRNG) or cryptographic**pseudorandom**number**generator**(CPRNG) is a**pseudorandom**number**generator**(PRNG) with properties that make it suitable for use in cryptography. It is also referred to as a cryptographic**random**number**generator**(CRNG).In computing, a hardware

**random**number**generator**(HRNG), true**random**number**generator**(TRNG), non-deterministic**random**bit**generator**(NRBG), or physical**random**number**generator**is a device that generates**random**numbers from a physical process capable of producing entropy (in other words, the device always has access to a physical entropy source ...A

**pseudo**-**noise**code (PN code) or**pseudo**-**random**-**noise**code (PRN code) is one that has a spectrum similar to a random sequence of bits but is deterministically generated. The most commonly used sequences in direct-sequence spread spectrum systems are maximal length sequences , Gold codes , Kasami codes , and Barker codes .**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.Random.org (stylized as RANDOM.ORG) is a website that produces random numbers based on atmospheric noise. In addition to

**generating****random**numbers in a specified range and subject to a specified probability distribution , which is the most commonly done activity on the site, it has free tools to simulate events such as flipping coins, shuffling ...A counter-based

**random**number**generation**(CBRNG, also known as a counter-based**pseudo**-**random**number**generator**, or CBPRNG) is a kind of**pseudorandom**number**generator**that uses only an integer counter as its internal state. They are generally used for generating pseudorandom numbers for large parallel computations.The CRAY

**random**number**generator**RANF is a Lehmer RNG with the power-of-two modulus m = 2 48 and a = 44,485,709,377,909. The GNU Scientific Library includes several**random**number**generators**of the Lehmer form, including MINSTD, RANF, and the infamous IBM**random****number****generator****RANDU**.