Monte Carlo Integration is a statistical method used to numerically estimate the value of an integral. This technique leverages random sampling to approximate complex integrals, particularly those that arise in high-dimensional spaces. The method is especially useful when traditional analytical or numerical integration techniques are infeasible.
