A Random Number Generator (RNG) is a tool or algorithm that produces a sequence of numbers that cannot be predicted. These numbers can be used in various applications, from computer simulations to cryptography.
There are two main types of RNGs:
- True Random Number Generators (TRNGs): These rely on physical phenomena, such as thermal noise or radioactive decay, to generate truly random numbers.
- Pseudorandom Number Generators (PRNGs): These use mathematical algorithms to produce a sequence of numbers that appear random but are actually deterministic.
- Computer Simulations: Simulating real-world phenomena, such as weather patterns or traffic flow.
- Cryptography: Generating random keys for encryption and decryption.
- Gaming: Creating random outcomes in games, such as dice rolls or card shuffles.
- Scientific Research: Generating random samples for statistical analysis.
- Lotteries and Gambling: Drawing winning numbers.
By providing a source of randomness, RNGs play a crucial role in many aspects of modern technology and society.