Monte Carlo Pi Approximation

Monte Carlo Pi Approximation
Loading the math board and drawing, please wait…
2019-01-30 00:35
This example demonstrates the Monte Carlo method for approximating Pi using probability and random variables. It involves core concepts like probability & statistics, geometric area, and random experiments. Constructed using GeoGebra commands Polygon and Sum. Ideal for high school students learning about stochastic processes in mathematics.

GeoGebra Commands & Parameters

  1. Polygon((-1, -1), (1, -1), (1, 1), (-1, 1)) → q1, f, g, h, i
  2. Sum(Zip[If[Distance[M, (0, 0)] ≤ 1, 1, 0], M, mylist]) → inside