Monte-Carlo Method - Random Meeting

This example demonstrates the application of the Monte-Carlo method in a random meeting problem by simulating the distribution of random points within a specific region to estimate probabilities. Key mathematical concepts include stochastic processes, trigonometric functions (cosine, tangent), and properties of a rhombus. The construction utilizes GeoGebra commands and objects such as Polygon, RandomUniform, and TableText, as outlined in the summary. It is suitable for high school students and teachers studying probability statistics, trigonometric functions, and geometric constructions.