Pseudo Random Number Generators
Pseudo Random Number Generators (PRNGs) are algorithms that generate sequences of numbers that appear random but are actually deterministic, based on an initial seed value. They are widely used in computing for simulations, cryptography, gaming, and statistical sampling where true randomness is not required or feasible. Unlike true random number generators that rely on physical phenomena, PRNGs produce reproducible results, making them predictable if the seed is known.
Developers should learn and use PRNGs when they need efficient, repeatable random-like sequences for applications such as Monte Carlo simulations, procedural content generation in games, or testing software where consistent results are necessary. They are essential in cryptography for generating keys and nonces, though care must be taken to use cryptographically secure PRNGs to prevent vulnerabilities. Understanding PRNGs helps in optimizing performance and ensuring reliability in data-driven applications.