Monte Carlo Method

A computational technique that uses random sampling to obtain numerical results. Often employed when deterministic algorithms are too complex or computationally expensive, Monte Carlo methods approximate solutions by generating numerous random samples and analyzing their statistical behavior. Common applications include simulating physical systems, financial modeling, and solving integration problems.