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Mathematical & Computational Physics

Monte Carlo Method

A class of computational algorithms that rely on repeated random sampling to obtain numerical solutions for complex physical systems.

Governing formula I ≈ (1 / N) ∑_(i=1)^(N) f(X_i) (Central Limit Theorem)
SI unit Stochastic Numerical Method

In depth

Monte Carlo methods evaluate multi-dimensional integrals and complex statistical mechanics systems where analytical solutions are impossible. Error decreases as 1/√N regardless of problem dimensionality.

Examples in the real world

Simulating neutron transport through nuclear reactor shielding and evaluating path integrals in quantum chromodynamics.