Monte Carlo method

Randomized numerical technique

A Monte Carlo method uses random sampling to solve problems that might be deterministic in principle but intractable in practice.

Named for the casino, these computational techniques run thousands or millions of random trials to estimate probabilities, approximate integrals, or model complex systems: We used Monte Carlo simulation to assess the portfolio's risk.

The approach is foundational in physics, finance, and machine learning.

probability

random variable

Function quantifying probabilistic outcomes

random walk

simulation

random sampling

Selecting by pure chance

resampling · confidence interval · pseudo-random

finance

risk assessment

Evaluating likelihood of harm

algorithmic trading · financial modeling · yield curve

physics

phase transition

Matter shifting between states

optimization

traveling salesman

Itinerant commercial representative

Categories
Opposites
computational approach

Monte Carlo methodGaussian elimination

Method for solving linear systems

quadrature

search strategy

Monte Carlo methodbreadth-first search

Layer-by-layer graph exploration

Family

Monte Carlo, Carlo, Monte

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Used worldwide · Timeless · Abstract · Rated G