Date: Monday, May 26
Time: 7:00 p.m. – 8:00 p.m.
Duration: Each Presentation has 10 minutes to present.
Monte Carlo estimation
are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. One of the basic examples of getting started with the
Estimation of Pi
The idea is to simulate random (x, y) points in a 2-D plane with domain as a square of side 2r units centered on (0,0). Imagine a circle inside the same domain with same radius r and inscribed into the square. We then calculate the ratio of number points that lied inside the circle and total number of generated points. Refer to the image below:
