Estimating Pi - Monte Carlo Method (Part 1) #estimatepi

Here, we look at the Monte Carlo method for estimating the Pi number. In this case, we hypothetically throw needles to a given square and count the ones that fall into the circle and outside the circle. The ratio of needles in the circles and whole square will give Pi/4 (Pi*r*r/(2r)^2). In the video, the ratio is multiplied by 4 to get the Pi number. The title should be updated accordingly (sorry for the typo). The video is inspired from a talk given by MIT Professor John Guttag within MITx - 6.00.2x.

For estimating it using Archimedes' Method see:

#pi #estimatepi #pinumber

[limitisillusion]

I can't wait until everyone realizes that jain pi is the true value of pi. It's going to flip our understanding of history on its head.