The generator is based on a system of selecting random values using mathematical algorithms. The main goal is to avoid predictable results and make the choice random.
First, let's understand the difference between true and pseudo-random generators.
A true random number generator (RNG) is created using a hardware device that "catches" small physical processes and uses them to generate a number. For example, a device can read thermal noise and always generate random numbers because the basis for the calculation is another, but also always random, parameter.
This method is used in cryptography to create cryptographic keys and passwords. And the device itself is a complex and expensive device.
A pseudo-random number generator (PRNG) is used where instagram data security is not a big concern, but an element of randomness needs to be introduced into the process. For example, in gambling, where the number needs to be impartial and generated without the involvement of third parties.
The pseudo-random number generator has a simple operating principle. It binds to several changeable parameters, takes them as a basis and produces a result according to a given formula.
For example, you can take the time in a specific second and multiply it by the date. The seconds tick, the initial parameters change - and that's random.
Such generators are easy to embed into code, and their development costs several times less than the equipment for generating truly random numbers.
Where are random number generators used?
Generators help everywhere where there should be an element of randomness. For example, it would be strange to organize a competition with the same conditions, where the winner would be chosen by a person. Or if in a casino the cards were shuffled not by a machine, but by a croupier's assistant.
Here is a list of the main applications of generators:
Social networks . Popular profiles on social networks sometimes launch contests with different conditions: sometimes you need to subscribe, sometimes leave a comment, and sometimes all at once. The conditions in such contests are the same and randomizers are used to choose the winner. It turns out to be a fair choice.
Gambling . Bingo, casino, card games, lotteries, roulette - all of this works on the principle of random selection of numbers.
Computer games . Many games have a random loot system built in. For example, after killing a boss, some item will drop with a random probability. For this system to work, a randomizer is needed.
In fact, there are more applications. Wherever the human factor needs to be eliminated, the randomizer will find its application.