Two examples of Monte Carlo Simulations are discussed namely probability in coin toss and Buffon's needle problem to find pi.

This was a first year University project I completed in 2013. It uses a Monte Carlo method to find an approximation to Pi. See Buffon's needle problem for related reading. Written in Python, and uses Turtle.

PEMODELAN DAN SIMULASI

Calculate pi by generating random lines, using this simulator of Buffon's Needle.

Buffon's needle GUI simulator

A Buffon's needle problem simulator for HAS math homework

ビュフォンの針の2次元版と3次元版

**Final year in college** Part of my simulation models homework. A project that attempts to estimate the value of Pi through the Buffon's needle problem.

Buffon's needle problem visualization using d3.js

Two different python implementations of Buffons-Needle problem

In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.

Buffon's Needle Drop problem is among the first geometric probability problems in mathematics to be solved. It addresses the following question: Given a needle of length l dropped on a plane ruled with parallel lines d units apart, what is the probability that the needle will lie across a line upon landing?

A monte carlo simulation of Buffon's needle for purposes of estimating pi