pseudo random number generator - meaning and definition. What is pseudo random number generator
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What (who) is pseudo random number generator - definition

ALGORITHM THAT GENERATES A SEQUENCE OF NUMBERS WHOSE PROPERTIES APPROXIMATE THOSE OF SEQUENCES OF TRUE RANDOM NUMBERS
Pseudorandom number sequence; Pseudorandom number generators; Pseudo-random number generator; Pseudorandom sequence; PN sequences; =rand(); Pseudorandom number generation; Pseudo Random Number Generator; Pseudorandom Number Generator; PN sequence; Pseudo random number generator; DRBG; Psuedo-random number generators; Randint; Rand(); Pseudo-random bit generator; Software PRNG; Software random number generator; Pseudo-random number generation

Pseudorandom number generator         
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. The PRNG-generated sequence is not truly random, because it is completely determined by an initial value, called the PRNG's seed (which may include truly random values).
Hardware random number generator         
DEVICE THAT GENERATES RANDOM NUMBERS FROM PHYSICAL PROCESSES, RATHER THAN BY MEANS OF AN SOFTWARE ALGORITHM
True random number generator; Random device; Entropy pool; TRNG; True Random Number Generator; Hardware random-number generator; HRNG; Non-deterministic random number; Non-deterministic random numbers; FieldREG; Hardware randomness; Hardware RNG; Software whitening; NRBG; Random event generator (parapsychology); HWRNG; Quantum random number generator; Quantum RNG; Quantum phone
In computing, a hardware random number generator (HRNG) or true random number generator (TRNG) is a device that generates random numbers from a physical process, rather than by means of an algorithm. Such devices are often based on microscopic phenomena that generate low-level, statistically random "noise" signals, such as thermal noise, the photoelectric effect, involving a beam splitter, and other quantum phenomena.
Pseudo-random number sampling         
GENERATING PSEUDO-RANDOM NUMBERS THAT FOLLOW A PROBABILITY DISTRIBUTION
Non-uniform random numbers; Pseudorandom number sampling; Pseudo random number sampling; Pseudo-random sampling; Pseudo random sampling; Random number sampling; Non-uniform pseudo-random variate generation; Pseudo-random number sampling
Pseudo-random number sampling or non-uniform pseudo-random variate generation is the numerical practice of generating pseudo-random numbers that are distributed according to a given probability distribution.

Wikipedia

Pseudorandom number generator

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. The PRNG-generated sequence is not truly random, because it is completely determined by an initial value, called the PRNG's seed (which may include truly random values). Although sequences that are closer to truly random can be generated using hardware random number generators, pseudorandom number generators are important in practice for their speed in number generation and their reproducibility.

PRNGs are central in applications such as simulations (e.g. for the Monte Carlo method), electronic games (e.g. for procedural generation), and cryptography. Cryptographic applications require the output not to be predictable from earlier outputs, and more elaborate algorithms, which do not inherit the linearity of simpler PRNGs, are needed.

Good statistical properties are a central requirement for the output of a PRNG. In general, careful mathematical analysis is required to have any confidence that a PRNG generates numbers that are sufficiently close to random to suit the intended use. John von Neumann cautioned about the misinterpretation of a PRNG as a truly random generator, joking that "Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin."