🧪 Monte Carlo Pi Simulation
This simulation demonstrates the Monte Carlo method for approximating Pi by generating random points within a square and calculating the ratio of points falling inside a circle inscribed within it. By adjusting parameters like point density, you can observe how these factors affect the accuracy of the Pi estimation. Added a points-per-frame slider that is wired directly into the sampling loop, letting you trade rendering speed for a faster-converging Pi estimate.
This simulation demonstrates the Monte Carlo method for approximating Pi by generating random points within a square and calculating the ratio of points falling inside a circle inscribed within it. By adjusting parameters like point density, you can observe how these factors affect the accuracy of the Pi estimation. Added a points-per-frame slider that is wired directly into the sampling loop, letting you trade rendering speed for a faster-converging Pi estimate.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install