#Random synonym t generator#
An example of a random number generator is a device that measures radio noise and then extracts that value and presents it to the user or application. In order to get true randomness, a device must collect entropy from the natural environment to measure such as atmospheric and thermal noise and other quantum and electromagnetic phenomena. There might even be algorithms put in place to control the selection process.Ī true random number generator cannot rely on mathematical equations and computational algorithms to get a random number because if there is an equation involved, then it is not random.
Consider the “random” function in a music player it only appears random because if it is truly random it would have no restrictions on the same tracks playing two or more times in succession. True randomness is not really required all the time in fact, some applications do not actually benefit from it. However, in practice, this is sufficient to fulfill most tasks. In modern computing, random number generators are implemented through programming based on deterministic computation, but this is not really considered as true random because the output can actually be predicted if all seed values are known, so this is called pseudorandom number generation.
Random number generators are just the modern application of randomness devices that have existed since ancient times such as dice, shuffled cards, flipping coins and even drawing straws. Techopedia Explains Random Number Generator
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