๐ŸŽฒ Monte Carlo Simulation

Use randomness to solve problems that are too complex for exact math. Named after the famous Monaco casino.

๐Ÿ’ก The Core Idea

๐ŸŽฏ
1. Define
Set up a problem with uncertain inputs
๐Ÿ”€
2. Randomize
Sample thousands of random scenarios
๐Ÿ“Š
3. Aggregate
Average results to find the answer

๐Ÿ”ด Live Demo: Estimating ฯ€ with Random Darts

Drop random points in a square. Count how many land inside the circle. The ratio approximates ฯ€/4.

Total Points
0
Inside Circle
0
Estimated ฯ€
โ€”
Accuracy vs true ฯ€ (3.14159โ€ฆ) โ€”

๐Ÿ“ The Math Behind It

A unit circle inside a 2ร—2 square has area ฯ€. The square has area 4.

ฯ€ โ‰ˆ 4 ร— (points inside circle) / (total points)

As you increase the number of points, the estimate converges to the true value of ฯ€ through the Law of Large Numbers.

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